Course Syllabus for

Project Course in Automated Data Acquisition Systems
Projektkurs i automatiserade m├Ątsystem

BMEN40F, 7.5 credits

Valid from: Autumn 2023
Decided by: Maria Sandsten
Date of establishment: 2023-06-08

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: BMEN40
Teaching languages: English, Swedish


The course aims to knowledge of implementation of systems for automated data acquisition. Furthermore, the course aims to provide 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. 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

The course starts with an introduction, examples and labs. A project with a focus on data acquisition is choses at an early stage which is then implemented and evaluated. Reporting and demonstration constitute an important part of the projectwork and is introduced at an early stage in the course. The supervisors will be available for questions and discussions and prearranged times.

Course Literature

Material from the department

Instruction Details

Types of instruction: Laboratory exercises, project. Limited number of lectures

Examination Details

Examination format: Written report. Oral presentation of the project work. Completed laboratory exercises.
Grading scale: Failed, pass

Admission Details

Assumed prior knowledge: Basic courses in programming and sensor systems

Further Information

Will be given jointly with course at second-cycle level every autumn term, but might be cancelled if fewer than a total of 6 students has registered.

Course Occasion Information

Contact and Other Information

Course coordinators:

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