Course Syllabus for

Computerised Measurement Systems
Datorbaserade m├Ątsystem

EEMN10F, 7.5 credits

Valid from: Autumn 2017
Decided by: Professor Thomas Johansson
Date of establishment: 2017-09-26

General Information

Division: Biomedical Engineering
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course code: EEMN10
Teaching language: Swedish


Automatized data acquisition is of fundamental importance for test- and measurement applications in both industry and academia. The objective of the course is to provide an overview of systems and methods to acquire and transfer measurement data in test- and industry-environments, and also to present methods to program such a system in a structured and logical way. The course is given as lectures with laboratory exercises and a task to train the student to elaborate on the material presented in the lectures. A project gives the student an opportunity to independently solve a problem for automatized data acquisition. The project aims for the student to, on his or her own, to specify the best strategy to collect measurement data for the given problem. The so specified solution shall then be programmed with methods taught in the course. The project is presented orally for the other students, and also in a written report.


Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Judgement and Approach

For a passing grade the doctoral student must - Have an overview of various soft- and hardware solutions for transfer of measurement data to a computer

Course Contents

LabVIEW introduction and methods and strategies for structured programming. Bus-systems such as IEEE-488 (GPIB), serial buses, VXI/PXI, Fieldbuses. Data acquisition Boards. Signal conditioning. Software for measurement systems control. Data processing. Introduction to data acquisition using MATLAB.

Course Literature

Digital course material in the form of manuals can be found on the course homepage.

Instruction Details

Types of instruction: Lectures, laboratory exercises, exercises, project

Examination Details

Examination formats: Written exam, written report, written assignments, seminars given by participants. Passed compulsary parts gives the grade Passed. Higher grades after written exam.
Grading scale: Failed, pass

Admission Details

Assumed prior knowledge: Basic courses in programming and sensor systems.
Selection criteria: Number of credits attained in courses within the areas of Transducer Technology and Electrical Measurements, the specific topic of commenced thesis, and number of credits left until final degree.

Course Occasion Information

Contact and Other Information

Course coordinators:

Web page:

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