Python Programming for Machine Learning (online class)
Python Programming for Machine Learning (3 ECTS credits) is an optional course within one of the modules:
"Cognitive Algorithms" (summer and winter semesters)
"Machine Learning 1" (summer semester).
It's not possible to take the class as a standalone, seminar or free of choice module.
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 deadline is on Monday, October 24th at 23:55, you've to be enrolled for the course on ISIS beforehand, otherwise, you will not be able to submit it.
from October 17th, 2022 to November 28th, 2022
Monday 14:15 - 15:45 ZOOM
Friday 14:15 - 15:45 ZOOM
Wednesday 14:15 - 15:45 ZOOM
November 28th, 14:00 - 16:00
Panagiotis Tomer Karagiannis
PyML ISIS: Link
Frequently Asked Questions (FAQ)
When does the course start? On 17th of October at 14:15 use the link above.
Will be the lectures recorded? Yes, all lectures will be recorded and put online on the ISIS course page.
How to find a link for the classes? Links for the online lectures and exercises will be announced on the PyML class web page as well.
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, just after you've passed the class, your results are valid for the next semesters as well.
I've already successfully passed all of the homework in previous semester but failed/missed the exam. Should I resubmit them again ? No, you don't need to resubmit the homework. 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 send the signed form 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).