Skip to main content

Statistics and ProbabilityLaajuus (3 cr)

Code: TZVM6300

Credits

3 op

Teaching language

  • Finnish
  • English

Responsible person

  • Ida Arhosalo

Objective

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Qualifications

Basic use of spreadsheets

Assessment criteria, satisfactory (1)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Assessment criteria, good (3)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Assessment criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Enrollment

18.11.2024 - 09.01.2025

Timing

20.01.2025 - 30.04.2025

Number of ECTS credits allocated

3 op

Virtual portion

1.5 op

Mode of delivery

50 % Face-to-face, 50 % Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

20 - 30

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Groups
  • TLS23SMM
    Logistiikka - tutkinto-ohjelma (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Tapaamisia monimuotoryhmän aikataulun mukaisesti syksyn aikana sekä webinaarisessioita iltaisin. Aloitus webinaarilla viikolla 4.

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Loppukokeen voi tehdä Exam-studiossa itselleen sopivana ajankohtana.

Student workload

81h

Further information for students

Arvosana perustuu pääosin loppukokeeseen. Harjoitustehtävillä mahdollisesti lisäpisteitä 0-20%.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2024 - 09.01.2025

Timing

13.01.2025 - 30.03.2025

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Teaching languages
  • English
Seats

20 - 30

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TAR23S1
    Bachelor's Degree Programme in Automation and Robotics

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lecture/Exercise session 2*90min / week during weeks 3-8 and 90min/week on weeks 10-13
Exam in Exam-studio

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Exam is in Exam studio.

Student workload

Lessons approx 25h, Homework and independent studying 55h

Further information for students

Exam 80-100%
Homework 0-20%
Details in Moodle workspace

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2024 - 09.01.2025

Timing

13.01.2025 - 18.05.2025

Number of ECTS credits allocated

3 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 Electrical and Automation Engineering
Teachers
  • Harri Varpanen
Groups
  • TSA23SA
    Insinööri (AMK), sähkö- ja automaatiotekniikka, päivätoteutus

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lexture/Exercise session 90min / week during weeks 2-8

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

The time of the Exam is informed on the first lesson.

Student workload

Lessons approx 20h, Homework, group assignments and independent studying 60h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

18.11.2024 - 09.01.2025

Timing

13.01.2025 - 30.04.2025

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

20 - 55

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Scheduling groups
  • TLS23SA (Capacity: 35. Open UAS: 0.)
  • TLS23SB (Capacity: 35. Open UAS: 0.)
Groups
  • TLS23S1
    Logistiikka - tutkinto-ohjelma (AMK)
Small groups
  • TLS23SA
  • TLS23SB

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lecture/Exercise session 90min / week during weeks 3-15

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Teaching is in Finnish. Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.

Exam dates and retake possibilities

Loppukoe Examstudiossa

Student workload

Lessons approx 20h, Homework, group assignments and independent studying 60h

Further information for students

Teaching is in Finnish.
Exam 80-100%
Homework 0-20%
Details in Moodle-workspace

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

18.11.2024 - 09.01.2025

Timing

13.01.2025 - 30.03.2025

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • English
Seats

20 - 30

Degree programmes
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TLP25VK
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP24VS
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP23S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lecture/Exercise session 2*90min / week during weeks 3-8 and 90min/week on weeks 10-12
Exam in Exam-studio

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Exam is in Exam studio.

Student workload

Lessons approx 25h, Homework and independent studying 55h

Further information for students

Exam 80-100%
Homework 0-20%
Details in Moodle workspace

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2024 - 09.01.2025

Timing

13.01.2025 - 18.05.2025

Number of ECTS credits allocated

3 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 Electrical and Automation Engineering
Teachers
  • Harri Varpanen
Groups
  • TSA23SS
    Insinööri (AMK), sähkö- ja automaatiotekniikka, päivätoteutus

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lexture/Exercise session 90min / week during weeks 2-8

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

The time of the Exam is informed on the first lesson.

Student workload

Lessons approx 20h, Homework, group assignments and independent studying 60h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.08.2024 - 22.08.2024

Timing

26.08.2024 - 31.12.2024

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TSA23KMS
    Insinööri (AMK), sähkö- ja automaatiotekniikka,monimuototeutus
  • TSA23KMA
    Insinööri (AMK), sähkö- ja automaatiotekniikka,monimuototeutus

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Loppukokeen voi tehdä Exam-studiossa itselleen sopivana ajankohtana. Loppukokeita järjestetään loppusyksystä myös zoom-valvottuina, zoom-valvottujen tenttien ajankohdat ilmoitetaan työtilassa.

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.08.2024 - 22.08.2024

Timing

26.08.2024 - 18.12.2024

Number of ECTS credits allocated

3 op

Virtual portion

1.5 op

Mode of delivery

50 % Face-to-face, 50 % Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

20 - 25

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Groups
  • TLS23KMM
    Logistiikka - tutkinto-ohjelma (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Loppukokeen voi tehdä Exam-studiossa itselleen sopivana ajankohtana. Loppukokeita järjestetään loppusyksystä myös zoom-valvottuina, zoom-valvottujen tenttien ajankohdat ilmoitetaan työtilassa.

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.08.2024 - 22.08.2024

Timing

26.08.2024 - 18.12.2024

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

10 - 15

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Mechanical Engineering
Teachers
  • Ida Arhosalo
Groups
  • UTIVERKKO
    Institute of New Industry, online learning (mechanical, logistics and civil engineering)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Kurssin materiaaleja voi käydä omaan tahtiin ja tehdä loppukokeen Exam-studiossa itselleen sopivana ajankohtana. Loppukokeita järjestetään loppusyksystä myös zoom-valvottuina, zoom-valvottujen tenttien ajankohdat ilmoitetaan työtilassa.

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material.

Exam dates and retake possibilities

Loppukokeen voi tehdä Exam-studiossa itselleen sopivana ajankohtana. Loppukokeita järjestetään loppusyksystä myös zoom-valvottuina, zoom-valvottujen tenttien ajankohdat ilmoitetaan työtilassa.

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 19.05.2024

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 15

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Mechanical Engineering
Teachers
  • Ida Arhosalo
Groups
  • UTIVERKKO
    Institute of New Industry, online learning (mechanical, logistics and civil engineering)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Kurssin materiaaleja voi käydä omaan tahtiin, ottaen kuitenkin huomioon loppukoeajankohdat. Loppukoe tehdään Exam-studiossa kevään aikana itselle sopivana ajankohtana.

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material.

Exam dates and retake possibilities

Loppukoe tehdään Exam-studiossa kevään aikana itselle sopivana ajankohtana.

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 20.05.2024

Number of ECTS credits allocated

3 op

Virtual portion

2 op

Mode of delivery

34 % Face-to-face, 66 % Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Groups
  • TLS22SMM
    Logistiikka - tutkinto-ohjelma (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Tapaamiset monimuotoryhmän aikataulun mukaisesti kevään aikana

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Lioppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 30.04.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 55

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Scheduling groups
  • TLS22SA (Capacity: 30. Open UAS: 0.)
  • TLS22SB (Capacity: 30. Open UAS: 0.)
Groups
  • TLS22S1
    Logistiikka - tutkinto-ohjelma (AMK)
Small groups
  • TLS22SA
  • TLS22SB

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lextue/Exercise session 90min / week during weeks 3-13

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.

Exam dates and retake possibilities

The time of the Exam is informed on the first lesson.

Student workload

Lessons approx 20h, Homework, group assignments and independent studying 60h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

20.11.2023 - 14.01.2024

Timing

08.01.2024 - 30.04.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • English
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TLP22S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering
  • TLP23VS
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP24VK
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lextue/Exercise session 90min / week during weeks 3-14, Exam on week 15

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

The time of the Exam is informed on the first lesson.

Student workload

Lessons approx 20h, Homework and independent studying 60h

Further information for students

Exam 80-90%
Homework10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 19.05.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages
  • Finnish
Seats

0 - 60

Degree programmes
  • Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
  • Ida Arhosalo
Groups
  • TSA22SS
    Sähkö- ja automaatiotekniikka (AMK)
  • TSA22SA
    Sähkö- ja automaatiotekniikka (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lexture/Exercise session 90min / week during weeks 2-8

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

The time of the Exam is informed on the first lesson.

Student workload

Lessons approx 20h, Homework, group assignments and independent studying 60h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

20.11.2023 - 04.01.2024

Timing

01.01.2024 - 19.05.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • English
Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TAR22S1
    Bachelor's Degree Programme in Automation and Robotics

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lextue/Exercise session 90min / week during weeks 3-14, Exam on week 15

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

The time of the Exam is informed on the first lesson.

Student workload

Lessons approx 20h, Homework and independent studying 60h

Further information for students

Exam 80-90%
Homework10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 15

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Mechanical Engineering
Teachers
  • Ida Arhosalo
Groups
  • UTIVERKKO
    Institute of New Industry, online learning (mechanical, logistics and civil engineering)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Kurssin materiaaleja voi käydä omaan tahtiin, ottaen kuitenkin huomioon loppukoeajankohdat. Loppukokeet pidetään loppusyksystä ja niiden ajankohdat ilmoitetaan työtilassa.

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material.

Exam dates and retake possibilities

Loppukoeajankohdat ilmoitetaan kurssin työtilassa.

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Virtual portion

2 op

Mode of delivery

34 % Face-to-face, 66 % Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 15

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Groups
  • TLS22KMM
    Logistiikan tutkinto-ohjelma (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Lioppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Virtual portion

2 op

Mode of delivery

34 % Face-to-face, 66 % Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 35

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TSA22KMA
    Sähkö- ja automaatiotekniikka (AMK)
  • TSA22KMS
    Sähkö- ja automaatiotekniikka (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Lioppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2022 - 05.01.2023

Timing

09.01.2023 - 30.04.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TSA21SB
    Sähkö- ja automaatiotekniikka (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2022 - 05.01.2023

Timing

09.01.2023 - 19.05.2023

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 5

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • LOGRAKVERKKO
    Logistiikan ja rakentamisen verkko-opetus

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Kurssin materiaaleja voi käydä omaan tahtiin, ottaen kuitenkin huomioon loppukoeajankohdat. Loppukokeet pidetään loppukeväällä ja niiden ajankohdat ilmoitetaan työtilassa.

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material.

Exam dates and retake possibilities

Loppukoeajankohdat ilmoitetaan kurssin työtilassa.

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2022 - 05.01.2023

Timing

09.01.2023 - 19.05.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 55

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Scheduling groups
  • TLS21SA (Capacity: 35. Open UAS: 0.)
  • TLS21SB (Capacity: 35. Open UAS: 0.)
Groups
  • TLS21S1
    Logistiikan tutkinto-ohjelma (AMK)
Small groups
  • TLS21SA
  • TLS21SB

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lecture (class/stream/recording) 90min / week during weeks 3-14
Exam on week 15

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.

Exam dates and retake possibilities

Exam on week 15.

Student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Further information for students

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2022 - 05.01.2023

Timing

09.01.2023 - 19.05.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • English
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • TLP23VK
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP22VS
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP21S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lextue/Exercise session 90min / week during weeks 2-14
Exam on week 15

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.

Exam dates and retake possibilities

Exam on week 15.

Student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Further information for students

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2022 - 05.01.2023

Timing

09.01.2023 - 30.04.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 55

Degree programmes
  • Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • TSA21SA
    Sähkö- ja automaatiotekniikka (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lecture (class/stream/recording) 90min / week during weeks 3-14
Exam on week 15

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.

Exam dates and retake possibilities

Exam on week 15.

Student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Further information for students

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 5

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • LOGRAKVERKKO
    Logistiikan ja rakentamisen verkko-opetus

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Kurssin materiaaleja voi käydä omaan tahtiin, ottaen kuitenkin huomioon loppukoeajankohdat. Loppukokeet pidetään loppusyksystä ja niiden ajankohdat ilmoitetaan työtilassa.

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material.

Exam dates and retake possibilities

Loppukoeajankohdat ilmoitetaan kurssin työtilassa.

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • TLS21KMM
    Logistiikan tutkinto-ohjelma (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Lioppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

3 op

Virtual portion

2 op

Mode of delivery

34 % Face-to-face, 66 % Online learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Degree programmes
  • Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • TSA21KMB
    Sähkö- ja automaatiotekniikka (AMK)
  • TSA21KMA
    Sähkö- ja automaatiotekniikka (AMK)

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Tapaamiset monimuotoryhmän aikataulun mukaisesti syksyn aikana

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam dates and retake possibilities

Loppukoeajankohdat ilmoitetaan kurssin ensimmäisellä luennolla

Student workload

81h

Further information for students

Exam 80-90%
Homework 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2021 - 06.03.2022

Timing

07.03.2022 - 15.05.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Degree programmes
  • Bachelor's Degree Programme in Logistics
  • Bachelor's Degree Programme in Construction and Civil Engineering
  • Bachelor's Degree Programme in Electrical and Automation Engineering
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
  • Bachelor's Degree Programme in Information and Communications Technology
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Groups
  • TSA20SA
    Bachelor's Degree Programme in Electrical and Automation Engineering
  • TSA20SB
    Bachelor's Degree Programme in Electrical and Automation Engineering

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lextue/Exercise session 2* 1,5h / week during weeks 10-15
Exam on week 16

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.

Exam dates and retake possibilities

Exam on week 16. Resits in Exam studio during May.

Student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Further information for students

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2021 - 23.01.2022

Timing

07.03.2022 - 29.04.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • English
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Groups
  • TLP20S1
    Bachelor's Degree Programme in Purchasing and Logistics Engineering
  • TLP21VS
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
  • TLP22VK
    Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lextue/Exercise session 2* 1,5h / week during weeks 10-15
Exam on week 16

Learning materials and recommended literature

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.

Exam dates and retake possibilities

Exam on week 16. Resits in Exam studio during May.

Student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Further information for students

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets

Enrollment

01.11.2021 - 09.01.2022

Timing

07.03.2022 - 29.04.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 60

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Ida Arhosalo
Teacher in charge

Ida Arhosalo

Scheduling groups
  • TLS20SA (Capacity: 40. Open UAS: 0.)
  • TLS20SB (Capacity: 40. Open UAS: 0.)
Groups
  • TLS20S1
    Bachelor's Degree Programme in Logistics
Small groups
  • TLS20SA
  • TLS20SB

Objectives

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Time and location

Lecture (class/stream/recording) 1-1,5 h / week during weeks 10-15
Exercise session 1,5h / week during weeks 10-15
Exam on week 16

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Group assignments. Excel is applied with exercises.

Exam dates and retake possibilities

Exam on week 16. Resits in Exam studio during May.

Student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Further information for students

Exam 80-90%
Homework, group assignments 10-20%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Evaluation criteria, good (3-4)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Evaluation criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Prerequisites

Basic use of spreadsheets