Valid from: Autumn 2017
Decided by: Professor Thomas Johansson
Date of establishment: 2017-09-26
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
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.
Digital course material in the form of manuals can be found on the course homepage.
Types of instruction: Lectures, laboratory exercises, exercises, project
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
Examiner:
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 coordinators: