BB838: Basic bioacoustics using Matlab

Study Board of Science

Teaching language: English
EKA: N110064102
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): N110064101
ECTS value: 5

Date of Approval: 04-10-2022


Duration: 1 semester

Version: Approved - active

Entry requirements

None

Academic preconditions

None

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

Kompendium and see itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

Spring

Tests

Final Assignment – Programming tasks

EKA

N110064102

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

5

Indicative number of lessons

40 hours per semester

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

Name E-mail Department
Magnus Wahlberg Magnus@biology.sdu.dk Lyd og Adfærd

Additional teachers

Name E-mail Department City
Felix Theo Häfele fth@biology.sdu.dk Biologisk Institut
Lasse Jakobsen lasse@biology.sdu.dk Biologisk Institut

Timetable

Administrative Unit

Biologisk Institut

Team at Educational Law & Registration

NAT

Offered in

Odense

Recommended course of study

Profile Education Semester Offer period

Transition rules

Transitional arrangements describe how a course replaces another course when changes are made to the course of study. 
If a transitional arrangement has been made for a course, it will be stated in the list. 
See transitional arrangements for all courses at the Faculty of Science.