neu780 - Biological Data Analysis with Python (Course overview)

neu780 - Biological Data Analysis with Python (Course overview)

Department of Neurosciences 6 KP
Module components Semester courses Winter semester 2024/2025 Examination
Lecture
  • Unlimited access 6.03.782 - Biological data analysis with Python Show lecturers
    • Prof. Dr. Michael Winklhofer

    Dates on Monday, 03.03.2025 - Friday, 07.03.2025, Monday, 10.03.2025 - Friday, 14.03.2025 08:00 - 18:00
    All participants have to use their private laptops and to download the latest version of Python (open source). For students of the program Master Neuroscience: It' possible to borrow a laptop for this lecture from the Student body (contact: fachschaftneuroscience@uol.de). Please sign up for the course only if your course schedule allows. In case you can't attend just on one or two days due to exams or visa interviews, you have the chance of making up for the missed time by self-study of the course documents, which will be uploaded at the end of each day.

Exercises
  • Unlimited access 6.03.782 - Biological data analysis with Python Show lecturers
    • Prof. Dr. Michael Winklhofer

    Dates on Monday, 03.03.2025 - Friday, 07.03.2025, Monday, 10.03.2025 - Friday, 14.03.2025 08:00 - 18:00
    All participants have to use their private laptops and to download the latest version of Python (open source). For students of the program Master Neuroscience: It' possible to borrow a laptop for this lecture from the Student body (contact: fachschaftneuroscience@uol.de). Please sign up for the course only if your course schedule allows. In case you can't attend just on one or two days due to exams or visa interviews, you have the chance of making up for the missed time by self-study of the course documents, which will be uploaded at the end of each day.

Notes on the module
Reference text
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)
Module examination
assignment of programming exercises, 4 out of 5 exercises to be assessed
Skills to be acquired in this module

+ 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.