Department für Neurowissenschaften |
6 KP |
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Modulteile |
Semesterveranstaltungen Wintersemester 2018/2019 |
Prüfungsleistung |
Vorlesung
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6.03.781 - Introduction to data analysis with Python
- Prof. Dr. Michael Winklhofer
Termine am Donnerstag, 11.10.2018 12:00 - 12:30, Montag, 18.02.2019 09:00 - 14:00, Montag, 18.02.2019 14:00 - 18:00, Dienstag, 19.02.2019 09:00 - 14:00, Dienstag, 19.02.2019 14:00 - 18:00, Mittwoch, 20.02.2019 09:00 - 14:00, Mittwoch, 20.02.2019 14:00 - 18:00, Donnerstag, 21.02.2019 09:00 - 14:00, Donnerstag, 21.02.2019 14:00 - 18:00, Freitag, 22.02.2019 09:00 - 14:00, Freitag, 22.02.2019 14:00 - 18:00, Montag, 25.02.2019 09:00 - 14:00, Montag, 25.02.2019 14:00 - 18:00, Dienstag, 26.02.2019 09:00 - 14:00, Dienstag, 26.02.2019 14:00 - 18:00, Mittwoch, 27.02.2019 09:00 - 14:00, Mittwoch, 27.02.2019 14:00 - 18:00, Donnerstag, 28.02.2019 09:00 - 14:00, Donnerstag, 28.02.2019 14:00 - 18:00, Freitag, 01.03.2019 09:00 - 14:00, Freitag, 01.03.2019 14:00 - 18:00 ...(mehr) Ort: W01 0-008 (Rechnerraum), W02 2-224, (W3 1-152)
In case you are interested in this lecture but can't attend due to exams at the same time, please contact the lecturer for individual arrangement.
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Übung
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6.03.781 - Introduction to data analysis with Python
- Prof. Dr. Michael Winklhofer
Termine am Donnerstag, 11.10.2018 12:00 - 12:30, Montag, 18.02.2019 09:00 - 14:00, Montag, 18.02.2019 14:00 - 18:00, Dienstag, 19.02.2019 09:00 - 14:00, Dienstag, 19.02.2019 14:00 - 18:00, Mittwoch, 20.02.2019 09:00 - 14:00, Mittwoch, 20.02.2019 14:00 - 18:00, Donnerstag, 21.02.2019 09:00 - 14:00, Donnerstag, 21.02.2019 14:00 - 18:00, Freitag, 22.02.2019 09:00 - 14:00, Freitag, 22.02.2019 14:00 - 18:00, Montag, 25.02.2019 09:00 - 14:00, Montag, 25.02.2019 14:00 - 18:00, Dienstag, 26.02.2019 09:00 - 14:00, Dienstag, 26.02.2019 14:00 - 18:00, Mittwoch, 27.02.2019 09:00 - 14:00, Mittwoch, 27.02.2019 14:00 - 18:00, Donnerstag, 28.02.2019 09:00 - 14:00, Donnerstag, 28.02.2019 14:00 - 18:00, Freitag, 01.03.2019 09:00 - 14:00, Freitag, 01.03.2019 14:00 - 18:00 ...(mehr) Ort: W01 0-008 (Rechnerraum), W02 2-224, (W3 1-152)
In case you are interested in this lecture but can't attend due to exams at the same time, please contact the lecturer for individual arrangement.
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Hinweise zum Modul |
Hinweise |
Shared course components with (cannot be credited twice): pb328 "Einführung in Datenanalyse mit Python" (Professionalisierungsmodul im Bachelorstudiengang Biologie) |
Kapazität/Teilnehmerzahl |
20 |
Prüfungszeiten |
term break, immediately after the course (2 weeks in February) |
Prüfungsleistung Modul |
assignment of programming exercises, 4 out of 5 exercises to be assessed |
Kompetenzziele |
+ Neurosci. knowlg. ++ Maths/Stats/Progr. + Data present./disc. The ojective of the module is the acquistion of programming skills with focus on analysis of neurobiological datasets, using the programming language python. Python is available for any computer platform (PC, Mac, Linux) and is open source (for free), see https://www.python.org/. Students will learn how to write effective scripts for data processing and visualisation, making use of pre-existing program libraries for various generic purposes (maths, statistics, plotting, image analysis). Typical applications will be analysis of time series (e.g., electrophysiological recordings, movement data), images (e.g. immunohistochemical images, MRI slices), and spatio-temporal correlations in volume data. Students will also learn how to produce synthetica data from various noise models to assess signal-to-noise ratio in instrumental datasets. |
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