Mathematical Introduction to Machine Learning

Attention [COVID Requirements for participation: "3G" rule]

The lecture Mathematical Introduction to Machine Learning held by Dr. rer.-nat. Igor Bjelakovic will start this semester on Thursday, 28th of October 2021. The course takes place as hybrid lecture every Thursday in the room MAR 0.001 & via zoom from 12:00- 14:00 (c.t.). The last lecture will be on 17th of February 2022.

A password for enrollment has been set for this course. Please request this by e-mail (sekretariat@netit.tu-berlin.de) with the following information:
  • Study program
  • Matriculation number
  • Desired participation (online or in presence)

Mathematical Introduction to Machine Learning is part of the module Mathematics of Machine Learning (Module No. 40894) and Modern Signal Processing for Communications (Module No. 40829).

In order to complete the first module (Mathematics of Machine Learning), the lecture Theory and Algorithms of Machine Learning for Communication has to be taken additionally in the summer semester term (held by Prof. Dr.-Ing. Slawomir Stanczak).

In order to complete the second module (Modern Signal Processing for Communications), the lecture Modern Signal Processing for Communications has to be taken additionally in the summer semester term (held by Dr.-Ing. Renato L.G. Cavalcante).

After completing both lectures you will be tested in one oral exam and will receive 6 credit points. Please ask for an examination date at sekretariat@netit.tu-berlin.de. The registration for the module will be executed at the Examination Office (Prüfungsamt). You will receive a yellow sheet --> bring it to the exam (without sheet, no exam!)

Information for exchange students: it is possible to be examined only in one lecture of the module with 3 Credit Points. You do not need to register at the Examination Office, simply ask for an examination date at sekretariat@netit.tu-berlin.de. After passing the exam you receive a certificate.


Recommended Literature