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 || Dr Marina Höhne ||  || Dr. Marina Höhne ||

Python Programming for Machine Learning

Python Programming for Machine Learning is an optional course in the modules "Machine Learning 1", "Cognitive Algorithms" and "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).

In the general case, it is not possible to take the Python course as a standalone course. There are possible exceptions to this (e.g. it complements another ML or related course you are taking in parallel). In that case, a special request needs to be made.

The course will be split in two tracks A and B, with the same content, but held at different times of the week/day. Students can optionally for either of these.

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 Monday October 21st till 23:55, you have to register already by Friday, October 18th 2019 till 23:55 for a group within the ISIS course. Otherwise, you will not be able to submit the homeworks.

  • Course Period:

    from October 15th, 2019 to November 12th, 2019


    [Track A] Tuesday 08:15 - 09:45 in EB 301

    [Track B] Tuesday 12:15 - 13:45 in PTZ S001


    Wednesday 10:15 - 11:45 in TEL 206li

    Wednesday 12:15 - 13:45 in TEL 206li

    Thursday 10:15 - 11:45 TEL 106li

    Thursday 12:15 - 13:45 TEL 106li

    Friday 10:15 - 11:45 in TEL 106li

    Friday 12:15 - 13:45 in TEL 106li






    Sergej Dogadov

    Dr. Marina Höhne

    Contact s.dogadov@tu-berlin.de

    ISIS: https://isis.tu-berlin.de/course/view.php?id=17314 (enrolment key will be given during the first-day lecture)

Frequently Asked Questions (FAQ)

  • When does the course start? on Tuesday October 15th, 2019 at 08:15 [Track A] or 12:15 [Track B]

  • How to register for the course? Pre-registration is not needed. However, register for the ISIS course in time (see above) to be able to submit the exercises.

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'':

  • print out the forms concerning Nebenhörerschaft you find on that page
  • pass by at Mr. Dogadov's office (MAR 4.034) to have them signed
  • in addition, the dean of faculty IV has to sign
  • register at the the Campus Center. You will receive a TUBIT account (see below).

IDA Wiki: Main/WS19_PyML (last edited 2019-10-22 08:44:43 by SergejDogadov)