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COURSE SYLLABUS

Measurement and Instrumentation 7.5 credits

Mätteknik
First cycle, E0004E
Version
Course syllabus valid: Spring 2022 Sp 3 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.


Education level
First cycle
Grade scale
G U 3 4 5
Subject
Electrical Engineering
Subject group (SCB)
Electrical Engineering
Main field of study
Computer Science and Engineering

Entry requirements

In order to meet the general entry requirements for first cycle studies you must have successfully completed upper secondary education and documented skills in English language and knowledge in: - Mathematical analysis on basic level, linear algebra, differential equations and transforms and calculus (M0050M Basic Mathematics and Derivatives, M0051M ntegrals, Vectors and Matrices, M0052M Differential Equations and Transform Theory). - Introductory electrical engineering; Kirchoffs laws, passive components such as resistors, capacitors and inductors, ideal operation amplifiers, transformers, electric machines, etc (E0013E Fundamentals of Electrical Engineering, E0003E Circuit Theory). - The student is expected to know how to write simple functions in MATLAB for data analysis and data presentation. Knowledge in English, equivalent to English 6.


More information about English language requirements


Selection

The selection is based on 1-165 credits.



Course Aim

The aim of the course is to give the student knowledge of how to choose and design a measurement system for a given application, based on different measurement principles, modeling, simulation and error analysis.

After completing the course, the student should

  • be able to use a Spice based simulation program for analysis and design of electrical measurement systems,
  • be able to analyze and perform calculations for the design of both static and dynamic measurement systems
  • be able to analyze and manage disturbances and sources of error in a measurement system conduct error and uncertainty analyses
  • show laboratory skills by building and using electrical measurement systems consisting of electrical sensors and components as well as data collection equipment
  • be able to use both Matlab and LabView for digital data collection, signal processing, calculations and presentation

Contents
• General measurement system principles • Static and dynamic characteristics of measurement systems. • Disturbances in measurement systems and protections against these. • Error and uncertainty analysis • Digital data acquisition using the industry standard LABVIEW. • Electrical modeling and simulations using the industry standard PSpice. • Data analysis and signal processing using MATLAB.

Realization
Each course occasion´s language and form is stated and appear on the course page on Luleå University of Technology's website.
• A series of lectures where the core of the course is presented. Examples of typical situations that the students will come across are given. Important to note here that the the examples themselves are not essential but the solving approach they exemplify. The students will then practice their skills on similar problems in homework assignments and laboratory work. • Mandatory lab work includes theoretical homework problems to design the necessary measurement system. During the lab work, the student builds and evaluates the measurement systems. The results must then be interpreted and reported. Special attention is given to the skill of critically analyzing and discussing their own results and possible deviations from theoretical results.

Examination
If there is a decision on special educational support, in accordance with the Guideline Student's rights and obligations at Luleå University of Technology, an adapted or alternative form of examination can be provided.

A summative assessment is done through completed laboratory sessions with written reports and a voluntary written exam. The laboratory sessions are mandatory and are graded Fail (U) Pass (G). A pass on the complete set of lab assignments renders a grade 3 on the course. A voluntary written exam is available at the end of the course and is graded U 3 4 5. If a higher grade than 3 is obtained on the written exam, then the course grade will be raised to that grade.


Examiner
Torbjörn Löfqvist

Transition terms
The course E0004E is equal to SME101

Literature. Valid from Spring 2014 Sp 4 (May change until 10 weeks before course start)
Literature:
Principles of Measurement Systems, John Bentley. 4th ed. Pearson/Prentice Hall ISBN: 0 130 43028 5.

Alciatore, David and Histand, Michael, Introduction to Mechatronics and Measurement Systems, fourth edition, McGraw-Hill.

Course offered by
Department of Computer Science, Electrical and Space Engineering

Modules
CodeDescriptionGrade scaleCrStatusFrom periodTitle
0005Laboratory workU G#7.50MandatoryS22
0006Written examG U 3 4 5SelectableS22

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.

Syllabus established
by the Department of Computer Science and Electrical Engineering 28 Feb 2007

Last revised
by Jonny Johansson, Director of Undergraduate Studies at the Department of Computer Science, Electrical and Space Engineering 30 Jun 2021