== Bayesian Analysis with Python (online class) ==

Bayesian Analysis with Python is an optional course for the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).

It's '''not''' possible to take the Bayesian Analysis with 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 Juni 9th, 2020 to July 28th, 2020 ||
 ||'''Lectures:'''   || Tuesday 16:15 - 17:45 TBA ||
 ||<(^|2> '''Exercises'''   || Thursday    10:15 - 11:45 TBA    ||
 ||                            Thursday    12:15 - 13:45 TBA    ||
 || '''Test:'''    || TBA ||
 || '''Language:'''  || English  ||
 ||<(^|2>'''Trainers''' || Sergej Dogadov ||
 ||                        Dr. Shinichi Nakajima ||
 ||'''Contact''' s.dogadov@tu-berlin.de ||
 || '''ISIS:'''  https://isis.tu-berlin.de/course/view.php?id=19785 ||

'''Frequently Asked Questions (FAQ)'''
 * '''When does the course start?''' on Tuesday Jini 9th, 2020 at 16:15 
 * '''How to register for the course?''' Pre-registration via exam registration office is '''not''' needed. However, register for the ISIS course in time to be able to submit the exercises.


Knowledge of elementary programming concepts with Python is required. Be aware that lack of such knowledge will '''significantly''' increase the time demand for 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 [[http://www.tu-berlin.de/?id=76326|''Nebenhörerschaft'']]: 

 * More information about how to get the form signed is to come soon.