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Lecturer(s)
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Madhavan Malavika
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Linhart Pavel, RNDr. Ph.D.
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Hrouzková Ema, Mgr. Ph.D.
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Ptáček Ladislav, Ing. Ph.D.
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Course content
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Topics of bioacoustics research; Recording gear; Modifications of recording gear (cabels, batteries, open-source recorders and microphones); Field recording - focal and passive recording; Sound archives; Digital sound representation (sampling frequency, compression); Sound annotation; Recording database; Software for bioacoustics analysis; Manual and automatic sound analysis; Display of sound data; Design of playback experiments; Preparation of acoustic stimuli; Processing of big data recordings - an overview (R, Python, Matlab); Machine-learning for audio analysis - an overview (R, Python, Matlab); Reviewing bioacoustics gear; Noise and amplitude measurements; Working on and presentation of the independent and team projects. Consultation of individual projects.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Monitoring, Work with multi-media resources (texts, internet, IT technologies), Experiment, Individual tutoring
- Class attendance
- 25 hours per semester
- Semestral paper
- 100 hours per semester
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Learning outcomes
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Students will learn the basic and selected advanced steps of bioacoustic analysis. They will practice it on the independent (own data) and team projects (participation on the garants' running projects). Covered methods are applicable in conservation (acoustic censuses of birds and mammals), ecology (biodiversity assessment), ethology (call repertoire, activity patterns, mate choice), or for outreach to public audience (Researchers' night, excursions, exhibitions, etc.).
The student will have an overview of the basic bioacoustic research questions and will be able to use methodological tools to solve those questions.
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Prerequisites
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The course is aimed at MSc and PhD students who use bioacoustic methods in their projects or who are interested in vocal communication in animals. It is an introductory course that does not assume any previous knowledge of the topic.
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Assessment methods and criteria
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Student performance assessment, Interim evaluation
Presence in the classes, carrying out independent project and active participation on a team project.
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Recommended literature
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Bradbury, Jack W.; Verhencamp, Sandra L. Principles of animal communication. 1st ed. Sunderland, Massachusetts : Sinauer Associates, 1998. ISBN 0-87893-100-7.
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Owings, Donald Henry; Morton, Eugene S. Animal vocal communication : a new approach. 1st ed. Cambridge : Cambridge University Press, 1998. ISBN 0-521-32468-8.
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Sueur, Jérôme. Sound analysis and synthesis with R. Cham : Springer, 2018. ISBN 978-3-319-77645-3.
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