Bayesian Analysis with Python
Bayesian Analysis with Python 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).
It's not possible to take the Python course as a standalone course.
Participation in the exercise sessions is not mandatory but highly recommended. However, homework assignments have to be submitted every week.
Course Period:
from January 7th, 2019 to February 11th, 2019
Lectures:
Tuesday 14:15 - 15:45 in A 053
Exercises
Friday 10:15 - 11:45 in TEL 106li
Friday 12:15 - 13:45 in TEL 106li
Test:
TBA
Language:
English
Trainers
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).