Announcement
● This course is offered for the first time in Summer 2021.
● The lectures and tutorials will be conducted digitally via Zoom.
● The tutorials will be hands-on sessions, please get Jupyter notebook ready to run (e.g. by Anaconda or Google Colab) before the first session begins.
Course Overview
Prerequisites |
- |
Language | English |
Schedule |
Lecture: Fridays 11:40 – 13:20 (weekly starting 16.04.2021) Tutorial: Tuesdays 09:50 – 11:30 (weekly starting 20.04.2021) |
Format | Online via Zoom: Lecture and Tutorial (L2+T2), 5CP |
Material |
Provided through Moodle (https://moodle.tu-darmstadt.de/) FB18 Elektrotechnik und Informationstechnik – E: Data Science I 18-zo-2110-ue |
Office Hours |
Dr.-Ing. Christian Debes: (by email appointment) Pertami Kunz: (tba) |
Literature |
Lecture slides and tutorials from Moodle References: ● Wes McKinney: Python for Data Analysis, O’Reilly, 2017 ● Christopher M. Bishop: Pattern Recognition and Machine Learning, 2011 ● James, Witten, Hastie and Tibshirani, Introduction to Statistical Learning, Springer, 2017 |