BB838: Basic bioacoustics using Matlab
Study Board of Science
Teaching language: English
EKA: N110014112, N110014102
Assessment: Second examiner: None
Grading: Pass/Fail
Offered in: Odense
Offered in: Spring
Level: Master's level course approved as PhD course
STADS ID (UVA): N110014101
ECTS value: 5
Date of Approval: 17-11-2020
Duration: 1 semester
Version: Archive
Comment
Entry requirements
Academic preconditions
Course introduction
This class introduces mathematical and physical principles of special importance when studying bioacoustics. Matlab programming exercises are used to give the students a basic understanding for the logic of the theoretical material as well as of how to solve computational problems themselves. The course consists of a series of introductory lectures followed by programming tutorials leading up to assignments consisting of computational exercises for solving basic bioacoustic problems.
In relation to the programme's competence profile, the course has an explicit focus on:
- Provide skills in programming and use of analysis tools for different types of data
- Provide problem-solving skills by writing your own programs.
- Provide detailed knowledge of a specific topic within a self-chosen area.
Expected learning outcome
The students obtain ‘hands-on’ experience with theoretical work in bioacoustics as well as using computer programming for problem solving and to conceptualize physical principles.
Content
Programming (Matlab):
- Introductory programming
- Constructing Matlab editor files and functions
- Importing and analyzing acoustic data
- Programming Matlab with GUIs
Mathematics:
- Basic linear and logarithmic machinery
- Fourier analysis
- Filters
Physics (acoustics):
- Near and far fields
- Calibrated sound level measurements
- Transmission loss
- Refraction
- Reflections
- Transmission from one media to another
Literature
Examination regulations
Exam element a)
Timing
Spring
Tests
Programming tasks
EKA
N110014112
Assessment
Second examiner: None
Grading
Pass/Fail
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Examination aids
To be announced during the course
ECTS value
3
Additional information
The examination form for re-examination may be different from the exam form at the regular exam.
Exam element b)
Timing
Spring
Tests
Final assignment, programming
EKA
N110014102
Assessment
Second examiner: None
Grading
Pass/Fail
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Examination aids
To be announced during the course
ECTS value
2
Additional information
The examination form for re-examination may be different from the exam form at the regular exam.
Indicative number of lessons
Teaching Method
At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.
- Intro phase: 20 hours
- Skills training phase: 20 hours, hereof exercises classes: 20 hours
Activities for the studyphase: solve programming tasks with Matlab by following recipes and tips in the compendium
Teacher responsible
Additional teachers
| Name | Department | City | |
|---|---|---|---|
| Felix Theo Häfele | fth@biology.sdu.dk | Biologisk Institut | |
| Lasse Jakobsen | lasse@biology.sdu.dk | Biologisk Institut |