Physics 4 - Laboratory workLaajuus (2 cr)
Code: TZLF8020
Credits
2 op
Teaching language
- Finnish
- English
Responsible person
- Tuomas Huopana
Objective
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Qualifications
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Assessment criteria, satisfactory (1)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Assessment criteria, good (3)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Assessment criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2024 - 22.08.2024
Timing
21.10.2024 - 18.12.2024
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV23S2Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
The course is implemented on 21st October 2024 - 18th December 2024 at Dynamo in room D430.
Learning materials and recommended literature
The following book is used to estimate the errors calculated from the measurement results:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
The course provides more detailed work-specific instructions.
Teaching methods
The course covers measurements related to physical phenomena as well as analysis and reporting of the measurement data.
Practical training and working life connections
The content of the course aims to be working life connected.
Alternative completion methods
The approval procedures are described in the degree regulations and the study guide. The teacher of the course provides additional information about possible alternative course completion procedures.
Student workload
One credit corresponds to a workload of 27 hours. In total, the course requires 54 hours of work.
Content scheduling
At the beginning of the course, the theory related to the measurements as well as calculation of the final results and their error evaluation is discussed for the entire teaching group. After the theoretical part, measurements are taken, on the basis of which the measurement results are reported.
Further information for students
The assessment takes into account the course scores on the measurements of the experimental work (30% of the grade), the calculation exercises related to the measurements (50% of the grade) and the report written in the measurement group (20% of the grade). At least 50% of the maximum number of points in the course is required to pass the course and the experimental measurements must have been passed.
Course completion requires participation in contact teaching due to experimental work. The dates of the experimental work are determined in the first week of the course. If a student is prevented from attending the first contact of the course, the course teacher must be notified of the participation in the course.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2024 - 22.08.2024
Timing
21.10.2024 - 18.12.2024
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV23S3Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
The course is implemented on 21st October 2024 - 18th December 2024 at Dynamo in room D430.
Learning materials and recommended literature
The following book is used to estimate the errors calculated from the measurement results:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
The course provides more detailed work-specific instructions.
Teaching methods
The course covers measurements related to physical phenomena as well as analysis and reporting of the measurement data.
Practical training and working life connections
The content of the course aims to be working life connected.
Alternative completion methods
The approval procedures are described in the degree regulations and the study guide. The teacher of the course provides additional information about possible alternative course completion procedures.
Student workload
One credit corresponds to a workload of 27 hours. In total, the course requires 54 hours of work.
Content scheduling
At the beginning of the course, the theory related to the measurements as well as calculation of the final results and their error evaluation is discussed for the entire teaching group. After the theoretical part, measurements are taken, on the basis of which the measurement results are reported.
Further information for students
The assessment takes into account the course scores on the measurements of the experimental work (30% of the grade), the calculation exercises related to the measurements (50% of the grade) and the report written in the measurement group (20% of the grade). At least 50% of the maximum number of points in the course is required to pass the course and the experimental measurements must have been passed.
Course completion requires participation in contact teaching due to experimental work. The dates of the experimental work are determined in the first week of the course. If a student is prevented from attending the first contact of the course, the course teacher must be notified of the participation in the course.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2024 - 22.08.2024
Timing
21.10.2024 - 18.12.2024
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV23S5Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
The course is implemented on 21st October 2024 - 18th December 2024 at Dynamo in room D430.
Learning materials and recommended literature
The following book is used to estimate the errors calculated from the measurement results:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
The course provides more detailed work-specific instructions.
Teaching methods
The course covers measurements related to physical phenomena as well as analysis and reporting of the measurement data.
Practical training and working life connections
The content of the course aims to be working life connected.
Alternative completion methods
The approval procedures are described in the degree regulations and the study guide. The teacher of the course provides additional information about possible alternative course completion procedures.
Student workload
One credit corresponds to a workload of 27 hours. In total, the course requires 54 hours of work.
Content scheduling
At the beginning of the course, the theory related to the measurements as well as calculation of the final results and their error evaluation is discussed for the entire teaching group. After the theoretical part, measurements are taken, on the basis of which the measurement results are reported.
Further information for students
The assessment takes into account the course scores on the measurements of the experimental work (30% of the grade), the calculation exercises related to the measurements (50% of the grade) and the report written in the measurement group (20% of the grade). At least 50% of the maximum number of points in the course is required to pass the course and the experimental measurements must have been passed.
Course completion requires participation in contact teaching due to experimental work. The dates of the experimental work are determined in the first week of the course. If a student is prevented from attending the first contact of the course, the course teacher must be notified of the participation in the course.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2024 - 22.08.2024
Timing
21.10.2024 - 18.12.2024
Number of ECTS credits allocated
2 op
Virtual portion
1 op
Mode of delivery
50 % Face-to-face, 50 % Online learning
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV23SMTieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
The course is implemented on 21st October 2024 - 18th December 2024.
Learning materials and recommended literature
The following book is used to estimate the errors calculated from the measurement results:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
The course provides more detailed work-specific instructions.
Teaching methods
The course covers measurements related to physical phenomena as well as analysis and reporting of the measurement data.
Practical training and working life connections
The content of the course aims to be working life connected.
Alternative completion methods
The approval procedures are described in the degree regulations and the study guide. The teacher of the course provides additional information about possible alternative course completion procedures.
Student workload
One credit corresponds to a workload of 27 hours. In total, the course requires 54 hours of work.
Content scheduling
At the beginning of the course, the theory related to the measurements as well as calculation of the final results and their error evaluation is discussed for the entire teaching group. After the theoretical part, measurements are taken, on the basis of which the measurement results are reported.
Further information for students
The assessment takes into account the course scores on the measurements of the experimental work (30% of the grade), the calculation exercises related to the measurements (50% of the grade) and the report written in the measurement group (20% of the grade). At least 50% of the maximum number of points in the course is required to pass the course and the experimental measurements must have been passed.
Completing the course requires attendance at two measurement sessions, which are determined in the first week of the course. If the student is prevented from participating in the measurements, the course teacher must be notified during the first week of the course.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2024 - 22.08.2024
Timing
21.10.2024 - 18.12.2024
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- English
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TIC23S1Bachelor's Degree Programme in Information and Communications Technology
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
The course is implemented on 21st October 2024 - 18th December 2024 at Dynamo in room D430.
Learning materials and recommended literature
The following book is used to estimate the errors calculated from the measurement results:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
The course provides more detailed work-specific instructions.
Teaching methods
The course covers measurements related to physical phenomena as well as analysis and reporting of the measurement data.
Practical training and working life connections
The content of the course aims to be working life connected.
Alternative completion methods
The approval procedures are described in the degree regulations and the study guide. The teacher of the course provides additional information about possible alternative course completion procedures.
Student workload
One credit corresponds to a workload of 27 hours. In total, the course requires 54 hours of work.
Content scheduling
At the beginning of the course, the theory related to the measurements as well as calculation of the final results and their error evaluation is discussed for the entire teaching group. After the theoretical part, measurements are taken, on the basis of which the measurement results are reported.
Further information for students
The assessment takes into account the course scores on the measurements of the experimental work (30% of the grade), the calculation exercises related to the measurements (50% of the grade) and the report written in the measurement group (20% of the grade). At least 50% of the maximum number of points in the course is required to pass the course and the experimental measurements must have been passed.
Course completion requires participation in contact teaching due to experimental work. The dates of the experimental work are determined in the first week of the course. If a student is prevented from attending the first contact of the course, the course teacher must be notified of the participation in the course.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2024 - 22.08.2024
Timing
21.10.2024 - 18.12.2024
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV23S1Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
The course is implemented on 21st October 2024 - 18th December 2024 at Dynamo in room D430.
Learning materials and recommended literature
The following book is used to estimate the errors calculated from the measurement results:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
The course provides more detailed work-specific instructions.
Teaching methods
The course covers measurements related to physical phenomena as well as analysis and reporting of the measurement data.
Practical training and working life connections
The content of the course aims to be working life connected.
Alternative completion methods
The approval procedures are described in the degree regulations and the study guide. The teacher of the course provides additional information about possible alternative course completion procedures.
Student workload
One credit corresponds to a workload of 27 hours. In total, the course requires 54 hours of work.
Content scheduling
At the beginning of the course, the theory related to the measurements as well as calculation of the final results and their error evaluation is discussed for the entire teaching group. After the theoretical part, measurements are taken, on the basis of which the measurement results are reported.
Further information for students
The assessment takes into account the course scores on the measurements of the experimental work (30% of the grade), the calculation exercises related to the measurements (50% of the grade) and the report written in the measurement group (20% of the grade). At least 50% of the maximum number of points in the course is required to pass the course and the experimental measurements must have been passed.
Course completion requires participation in contact teaching due to experimental work. The dates of the experimental work are determined in the first week of the course. If a student is prevented from attending the first contact of the course, the course teacher must be notified of the participation in the course.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2023 - 24.08.2023
Timing
23.10.2023 - 19.12.2023
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV22S1Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 23.10.2023 - 19.12.2023 Dynamolla tilassa D430.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Kokeellisten töiden suoritusajankohdat määritetään ensimmäisellä kurssiviikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2023 - 24.08.2023
Timing
23.10.2023 - 19.12.2023
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV22S2Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 23.10.2023 - 19.12.2023 Dynamolla tilassa D430.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Kokeellisten töiden suoritusajankohdat määritetään ensimmäisellä kurssiviikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2023 - 24.08.2023
Timing
23.10.2023 - 19.12.2023
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV22S3Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 23.10.2023 - 19.12.2023 Dynamolla tilassa D430.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Kokeellisten töiden suoritusajankohdat määritetään ensimmäisellä kurssiviikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2023 - 24.08.2023
Timing
23.10.2023 - 19.12.2023
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV22S4Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 23.10.2023 - 19.12.2023 Dynamolla tilassa D430.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Kokeellisten töiden suoritusajankohdat määritetään ensimmäisellä kurssiviikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2023 - 24.08.2023
Timing
23.10.2023 - 19.12.2023
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV22S5Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 23.10.2023 - 19.12.2023 Dynamolla tilassa D430.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Kokeellisten töiden suoritusajankohdat määritetään ensimmäisellä kurssiviikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2023 - 24.08.2023
Timing
23.10.2023 - 19.12.2023
Number of ECTS credits allocated
2 op
Virtual portion
1 op
Mode of delivery
50 % Face-to-face, 50 % Online learning
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV22SMTieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 23.10.2023-19.12.2023.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää läsnöoloa kahdella mittauskerralla, jotka määritetään kurssin ensimmäisellä viikolla. Jos opiskelija on estynyt osallistumasta mittauksiin, tulee kurssin opettajalle ilmoittaa kurssisuorituksen estymisestä ensimmäisen kurssiviikon aikana.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2023 - 24.08.2023
Timing
23.10.2023 - 19.12.2023
Number of ECTS credits allocated
2 op
Virtual portion
1 op
Mode of delivery
50 % Face-to-face, 50 % Online learning
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV22SM2Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 23.10.2023-19.12.2023.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää läsnöoloa kahdella mittauskerralla, jotka määritetään kurssin ensimmäisellä viikolla. Jos opiskelija on estynyt osallistumasta mittauksiin, tulee kurssin opettajalle ilmoittaa kurssisuorituksen estymisestä ensimmäisen kurssiviikon aikana.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2023 - 24.08.2023
Timing
23.10.2023 - 19.12.2023
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- English
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TIC22S1Bachelor's Degree Programme in Information and Communications Technology
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
The course is implemented on 23rd October 2023 - 19th December 2023 at Dynamo in room D430.
Learning materials and recommended literature
The following book is used to estimate the errors calculated from the measurement results:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
The course provides more detailed work-specific instructions.
Teaching methods
The course covers measurements related to physical phenomena as well as analysis and reporting of the measurement data.
Practical training and working life connections
The content of the course aims to be working life connected.
Alternative completion methods
The approval procedures are described in the degree regulations and the study guide. The teacher of the course provides additional information about possible alternative course completion procedures.
Student workload
One credit corresponds to a workload of 27 hours. In total, the course requires 54 hours of work.
Content scheduling
At the beginning of the course, the theory related to the measurements as well as calculation of the final results and their error evaluation is discussed for the entire teaching group. After the theoretical part, measurements are taken, on the basis of which the measurement results are reported.
Further information for students
The assessment takes into account the course scores on the measurements of the experimental work (30% of the grade), the calculation exercises related to the measurements (50% of the grade) and the report written in the measurement group (20% of the grade). At least 50% of the maximum number of points in the course is required to pass the course and the experimental measurements must have been passed.
Course completion requires participation in contact teaching due to experimental work. The dates of the experimental work are determined in the first week of the course. If a student is prevented from attending the first contact of the course, the course teacher must be notified of the participation in the course.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2022 - 25.08.2022
Timing
24.10.2022 - 16.12.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- English
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TIC21S1Bachelor's Degree Programme in Information and Communications Technology
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
The course is implemented on October 24, 2022 - December 16, 2022 at Dynamo in room D430.
Learning materials and recommended literature
The following book is used to estimate the errors calculated from the measurement results:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
The course provides more detailed work-specific instructions.
Teaching methods
The course covers measurements related to physical phenomena as well as analysis and reporting of the measurement data.
Practical training and working life connections
The content of the course aims to be working life connected.
Alternative completion methods
The approval procedures are described in the degree regulations and the study guide. The teacher of the course provides additional information about possible alternative course completion procedures.
Student workload
One credit corresponds to a workload of 27 hours. In total, the course requires 54 hours of work.
Content scheduling
At the beginning of the course, the theory related to the measurements as well as calculation of the final results and their error evaluation is discussed for the entire teaching group. After the theoretical part, measurements are taken, on the basis of which the measurement results are reported.
Further information for students
The evaluation takes into account the course scores on the measurements of the experimental work (30% of the grade), the calculation exercises related to the measurements (50% of the grade) and the report written in the measurement group (20% of the grade). At least 50% of the maximum number of points in the course is required to pass the course and the experimental measurements must have been passed.
Course completion requires participation in contact teaching due to experimental work. Attendance is required for two measurements, which will be determined during the first week of the course. If a student is prevented from attending the first contact of the course, the course teacher must be notified of the participation in the course.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2022 - 25.08.2022
Timing
24.10.2022 - 16.12.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV21S1Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 24.10.2022 - 16.12.2022 Dynamolla tilassa D430.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Läsnöoloa edellytetään kahdella mittauskerralla, jotka määritetään kurssin ensimmäisellä viikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2022 - 25.08.2022
Timing
24.10.2022 - 16.12.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV21S2Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 24.10.2022 - 16.12.2022 Dynamolla tilassa D430.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Läsnöoloa edellytetään kahdella mittauskerralla, jotka määritetään kurssin ensimmäisellä viikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2022 - 25.08.2022
Timing
24.10.2022 - 16.12.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV21S3Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 24.10.2022 - 16.12.2022 Dynamolla tilassa D430.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Läsnöoloa edellytetään kahdella mittauskerralla, jotka määritetään kurssin ensimmäisellä viikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2022 - 25.08.2022
Timing
24.10.2022 - 16.12.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV21S5Tieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 24.10.2022 - 16.12.2022 Dynamolla tilassa D430.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Läsnöoloa edellytetään kahdella mittauskerralla, jotka määritetään kurssin ensimmäisellä viikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.08.2022 - 25.08.2022
Timing
24.10.2022 - 16.12.2022
Number of ECTS credits allocated
2 op
Virtual portion
1 op
Mode of delivery
50 % Face-to-face, 50 % Online learning
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Groups
-
TTV21SMTieto- ja viestintätekniikka (AMK)
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 24.10.2022-16.12.2022.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvioinnissa otetaan huomioon kurssipisteet kokeellisten töiden mittauksista (30 % arvosanasta), mittauksiin liittyvistä laskuharjoituksista (50 % arvosanasta) ja mittausryhmässä kirjoitetusta raportista (20 % arvosanasta). Kurssin läpäisyyn tarvitaan vähintään 50 % kurssin maksimipistemäästä ja mittausten tulee olla hyväksytysti suoritettuja.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Läsnöoloa edellytetään kahdella mittauskerralla, jotka määritetään kurssin ensimmäisellä viikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.11.2021 - 09.01.2022
Timing
10.01.2022 - 29.04.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Teacher in charge
Tuomas Huopana
Groups
-
TTV20S1Tieto- ja viestintätekniikka
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 10.1.2022 - 29.4.2022.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvosana määräytyy arvioidun laboratoriotyöskentelyn ja raportin sekä vertaisarvioinnin perusteella.
Kurssin suorittaminen edellyttää kontaktiopetukseen osallistumista. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.11.2021 - 09.01.2022
Timing
10.01.2022 - 29.04.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Teacher in charge
Tuomas Huopana
Groups
-
TTV20S2Tieto- ja viestintätekniikka
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 10.1.2022 - 29.4.2022.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvosana määräytyy arvioidun laboratoriotyöskentelyn ja raportin sekä vertaisarvioinnin perusteella.
Kurssin suorittaminen edellyttää kontaktiopetukseen osallistumista. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.11.2021 - 09.01.2022
Timing
10.01.2022 - 29.04.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Teacher in charge
Tuomas Huopana
Groups
-
TTV20S3Tieto- ja viestintätekniikka
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 10.1.2022 - 29.4.2022.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvosana määräytyy arvioidun laboratoriotyöskentelyn ja raportin sekä vertaisarvioinnin perusteella.
Kurssin suorittaminen edellyttää kontaktiopetukseen osallistumista. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.11.2021 - 09.01.2022
Timing
10.01.2022 - 29.04.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Teacher in charge
Tuomas Huopana
Groups
-
TTV20S5Tieto- ja viestintätekniikka
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 10.1.2022 - 29.4.2022.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Arvosana määräytyy arvioidun laboratoriotyöskentelyn ja raportin sekä vertaisarvioinnin perusteella.
Kurssin suorittaminen edellyttää kontaktiopetukseen osallistumista. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.
Enrollment
01.11.2021 - 09.01.2022
Timing
10.01.2022 - 29.04.2022
Number of ECTS credits allocated
2 op
Virtual portion
1 op
Mode of delivery
50 % Face-to-face, 50 % Online learning
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Tuomas Huopana
Teacher in charge
Tuomas Huopana
Groups
-
TTV20SMTieto- ja viestintätekniikka
Objectives
Purpose:
The operation of many applications is based on experimental data. The utilization of the data requires an error estimation of the results derived from the data. During the course, experimental data is measured to evaluate the use of data-derived results in different applications.
EUR-ACE Competences:
Knowledge and understanding
Engineering practice
Investigations and information retrieval
Learning outcomes:
After completing the course, you will be able to perform measurements of the properties of various physical systems in a variety of ways and you will be able to analyze the measurement results mathematically. You master the basic principles of technical reporting and have observed the phenomena of physics in practice. You will be able to deepen your skills in analyzing and reporting measurements.
Content
Contents:
- experimental data measurements,
- practices in the laboratory work,
- assessment of the errors of measurements,
- derivation of the error formula of the result,
- assessment of the error of the calculated resuls,
- presentation of the result with the total error by using formulas,
- the reporting of the measured data and calculated results.
Time and location
Opintojakso toteutetaan 10.1.2022 - 29.4.2022.
Learning materials and recommended literature
Mittaustuloksista laskettujen virheiden arvioinnissä hyödynnetään kirjaa:
Taylor, J. R. An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). ISBN: 978-0935702750.
Kurssilla jaetaan tarkemmin työkohtaiset ohjeet.
Teaching methods
Kurssilla tehdään fysikaalisiin ilmiöihin liittyviä mittauksia sekä analysoidaan ja raportoidaan mittausdataa.
Practical training and working life connections
Kurssin sisältö pyritään kytkemään työelämässä esiintyviin ongelmiin.
Alternative completion methods
Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa. Opintojakson opettaja antaa lisätietoa mahdollisista opintojakson erityiskäytänteistä.
Student workload
Yksi opintopiste vastaa 27 tunnin työmäärää. Yhteensä kurssi vaatii 54 tunnin työmäärän.
Content scheduling
Kurssin alussa käsitellään mittausten suorittamiseen sekä mittaustulosten laskemiseen ja virhearviointiin liittyvää teoriaa koko opetusryhmän osalta. Teoriaosuuden jälkeen siirrytään suorittamaan mittauksia, minkä pohjalta raportoidaan mittaustulokset.
Further information for students
Laboratoriotyöskentelyllä sekä mittausdatan analysoinnilla ja raportoinnilla on 80 % painoarvo kurssin arvosanasta. Itsearvioinnin painoarvo on 20 % kurssin arvosanasta. Kurssin läpäisyyn vaaditaan 50 % kurssin kokonaispistemäärästä sekä hyväksytysti suoritetut mittaukset, analyysit ja raportti.
Kurssin suorittaminen edellyttää kokeellisen työskentelyn vuoksi kontaktiopetukseen osallistumista. Läsnöoloa edellytetään kahdella mittauskerralla, jotka määritetään kurssin ensimmäisellä viikolla. Jos opiskelija on estynyt saapumasta kurssin ensimmäiselle kontaktikerralle, tulee kurssin opettajalle ilmoittaa kurssille osallistumisesta.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1:
You have completed all measurements and completed all course assignments. There are shortcomings in the recording and reporting of measurement results. The conclusions of your report would be better if the measurements and their analysis were better performed.
Satisfactory 2:
You have completed all course assignments in terms of measurements and reporting. You have recorded the relevant data from the measurement results. Your reporting from the experimental work is limited, but it shows the right results. You have drawn some conclusions based on the data you have analyzed.
Evaluation criteria, good (3-4)
Good 3:
In addition to the requirements for grade 2, you have recorded the measurement results correctly and have reported your work well. In reporting, you have presented the result in the correct format. You have made several different conclusions based on the measurements and data analysis.
Very good 4:
In addition to a grade of 3, you have made a comprehensive error estimate, in which the total error of the final result is calculated correctly using a statistical and a systematic error. In the conclusions, you have assessed the significance of the sources of error in the measurement method for the error of the final result.
Evaluation criteria, excellent (5)
Excellent 5:
You have made an accurate measurement report showing the measuring devices used with their errors, the measurement data with systematic errors and a mention of possible faults. The level of the report you write is close to the level of the conference paper. In the conclusions, you have considered the error of the final result at least at the level of the grade 4. You have compared the result you have calculated with the benchmarks given in the literature.
Prerequisites
Physical quantities and vectors, differential and integral calculus, SI system. The ability to use elementary functions and to solve groups of equations is needed in solving physical problems.
Further information
Completion of the course requires attendance.