Python Programming for Machine Learning (online class)
Python Programming for Machine Learning (3 ECTS credits) is an optional course for one of the modules:
"Machine Learning 1" (winter semester)
"Cognitive Algorithms" (summer and winter semesters)
"Machine Learning 2" (summer semester).
It's not possible to take the class as a standalone course.
Participation in the exercise sessions is not mandatory but highly recommended. However, homework assignments have to be submitted every week.
Important information: Since the first homework has to be submitted by Tuesday Apr 28th till 23:55, you have to enroll already by Thursday, Apr 23d 2020 for the ISIS course and a group. Otherwise, you will not be able to submit the homeworks.
from April 21, 2020 to May 26, 2020
Tuesday 16:15 - 17:45 in TBA
Thursday 10:15 - 11:45 TBA
Thursday 12:15 - 13:45 TBA
Tuesday May 14, 2019, 14:00 - 16:00 TBA
Philine Thalia Görzig
Panagiotis Tomer Karagiannis
Frequently Asked Questions (FAQ)
When does the course start? On Tuesday April 21st, 2020 at 16:15
How to find a link for the classes? Links for the online lectures and exercises will be announced on the PyML class web page.
How to register for the course? Pre-registration via exam registration office is not needed. However, register for the ISIS course in time (see above) to be able to submit the exercises.
May I participate in the class during this semester and take part in the corresponding module in one of the following semesters ? Yes, since you've passed the class your results are valid in one of the following semesters as well.
I've already successfully passed all of the homeworks in previous semester but failed/missed the exam. Should I resubmit them again ? No, you don't need to resubmit the homeworks. You may take part directly in the final exam. Enroll for the class via ISIS and await for the announcements.
Knowledge of elementary programming concepts will be helpful. Be aware that lack of such knowledge will increase the time demand of the class.
Homework is submitted via ISIS (see above), therefore you have to register there.
Students from other universities
If you are not a student at TU and want to earn credit, you have to solicit ''Nebenhörerschaft'':
First fill the online ''form''.
Send the form to Sergej Dogadov's email (firstname.lastname@example.org) to sign
then to our dean Prof. Dr. Rolf Niedermeier (email@example.com).
After getting your signed form back send it together with your current matriculation letter ('Immatrikulationsbescheinigung') to the student registration office (firstname.lastname@example.org).