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Measurement Technology (3 cr)

Code: TSAM0510-3011

General information


Enrollment

01.08.2024 - 22.08.2024

Timing

01.08.2024 - 31.12.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages

  • English

Seats

20 - 35

Degree programmes

  • Bachelor's Degree Programme in Electrical and Automation Engineering

Teachers

  • Markku Ström

Groups

  • TAR23S1
    Bachelor's Degree Programme in Automation and Robotics
  • 05.09.2024 14:15 - 15:45, Measurement Technology TSAM0510-3011
  • 19.09.2024 14:15 - 15:45, Measurement Technology TSAM0510-3011
  • 26.09.2024 14:15 - 15:45, Measurement Technology TSAM0510-3011
  • 24.10.2024 14:15 - 15:45, Measurement Technology TSAM0510-3011
  • 05.11.2024 12:15 - 14:45, Measurement Technology TSAM0510-3011
  • 12.11.2024 12:15 - 14:45, Measurement Technology TSAM0510-3011
  • 14.11.2024 14:15 - 15:45, Measurement Technology TSAM0510-3011
  • 19.11.2024 12:15 - 14:45, Measurement Technology TSAM0510-3011
  • 26.11.2024 12:15 - 14:45, Measurement Technology TSAM0510-3011
  • 28.11.2024 14:15 - 15:45, Measurement Technology TSAM0510-3011
  • 03.12.2024 12:15 - 14:45, Measurement Technology TSAM0510-3011
  • 10.12.2024 12:15 - 14:45, Measurement Technology TSAM0510-3011
  • 17.12.2024 12:15 - 14:45, Measurement Technology TSAM0510-3011

Objectives

You will get acquainted with industrial measurements and their technology. You will need a basic knowledge of physics and electrical engineering in the course. You will be able to use what you have learned in this course in many other courses during your studies and, of course, in working life.

EUR-ACE INFORMATION AND UNDERSTANDING
You are familiar with industrial measurement methods and understand their physical and chemical fundamentals. You know how to analyze measurement results and understand the measurement uncertainty associated with measurements. You can make choices between different measurement methods and you can implement simple PC-based measurement applications.

Content

Measurement methods
Physical and chemical basis of measurements
Analysis of measurement data
PC-based measurement applications (Labview)

Time and location

Lecture room and laboratory Rajakatu DP66

Learning materials and recommended literature

The material is in Moodle. Useful instructions for using Labview can be found on the National Instruments website

Teaching methods

Lectures, assignments and laboratory exercises.

Exam dates and retake possibilities

No Exam

Alternative completion methods

No alternative methods of execution

Student workload

Reserve time to use about 6 hours / week.

Content scheduling

Lectures until week 44, then mandatory laboratory exercises.

Further information for students

During the first three weeks, the first assignment must be returned or else you will be dropped from the course.

80% attendance is compulsory at the lectures of the course. Attendance is monitored. 100% attendance is mandatory in the laboratories and a report must be prepared.

Absences are agreed upon with the teacher for justified reasons. For example, cases of illness or the necessary expertise have been otherwise demonstrated. The evaluation criteria take into account the student's active participation in the course. For example, demonstrating competence by doing the share of tasks defined by the teacher.

The student must acknowledge the course feedback as given (task in Moodle).

The returned exercises and laboratory reports of the course are evaluated on a scale of 0-5.

The grade of the course consists of the grades of the exercises as follows.
Lesson exercises 20% each
Laboratory report 40%

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate (1): You recognize the basics and terminology, but interpreting them is challenging.

Satisfactory (2): You know the basics and terminology, but applying the key things is challenging.

Evaluation criteria, good (3-4)

Good (3): You understand the physical and chemical principles of measurement methods, you can evaluate the reliability of measurement and you can design PC-based measurement methods. You understand the principles so deeply that you know how to locate the causes of inaction.

Commendable (4): You master the key issues and their application.

Evaluation criteria, excellent (5)

Excellent (5): You master the key things and know how to apply them, outlining different solutions, showing creativity and innovation.

Prerequisites

Basic knowledge of physics and electrical engineering