Course - Introduction to Signal Processing in Matlab - BEV3201
BEV3201 - Introduction to Signal Processing in Matlab
About
This course is no longer taught and is only available for examination.
Examination arrangement
Examination arrangement: Practical examination
Grade: Passed / Not Passed
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Practical examination | 100/100 | 30 minutes | HJELPEMIDD |
Course content
The course will provide an introduction to signal analysis in Matlab. The course will include selected topics within signal processing like digital data sampling, signal-to-noise ratio, data filtering, selection of time periods, and calculation of relevant signal characteristics. The course will include introduction to basic operations in Matlab such as importing and exporting data, data visualization, and programing of simple logical structures, use of functions, indexing of data vectors and matrices, and batch processing of larger data sets. The course will use exercises and examples to show the use and interpretation of signal analysis in movementscience
Learning outcome
After completing the course BEV3201, the student is able to:
- Explain important aspects of signal processing like data sampling, signal-to-noise ratio, data filtering and selection of time periods, and how these factors affect calculation of relevant signal characteristics.
- Apply basic operations in Matlab such as importing and exporting data, data visualization, programming simple logical structures, indexing data vectors and matrices, and batch processing large data sets.
- Create a Matlab script that can read the data, improve data quality, visualize results and compute relevant signal characteristics of various signals relevant in movementscience
- Perform signal analysis using basic operations in Matlab.
- Explain central concepts of signal processing - Understand the importance of various aspects in signal analysis for data quality and further statistical analysis
Learning methods and activities
The course contains eight meetings of up to 5 hours which includes some lectures, but most practical exercises in Matlab. Students are expected to work on assigned tasks between the meetings and participate in all activities. The course is taught in English when required and all communications must be in English if international students are enrolled.
Compulsory assignments
- 70% attendance meetings
Further on evaluation
Compulsory activities
- Approved compulsory activities are valid for 4 study years.
Exam
- Students should bring their own laptop to show what they have programmed. Otherwise no aids during the examination.
Specific conditions
Admission to a programme of study is required:
Human Movement Science (BBEV)
Physical Activity and Health (MSPAHE)
Recommended previous knowledge
PAH3004, PAH3005
Required previous knowledge
As for admission to the master programmes in medicine, health and social sciences. The course is reserved for students enrolled in the master's programme MSc in Physical Activity and Health.
Credit reductions
Course code | Reduction | From | To |
---|---|---|---|
BEV8003 | 5.0 | AUTUMN 2016 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
No
Language of instruction: English
Location: Trondheim
- Health Science
- Sport Science
- Human Movement Science
Department with academic responsibility
Department of Neuromedicine and Movement Science
Examination
Examination arrangement: Practical examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn UTS Practical examination 100/100 HJELPEMIDD INSPERA
-
Room Building Number of candidates - Spring ORD Practical examination 100/100 HJELPEMIDD 2024-05-06 08:00 INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"