Differences between revisions 1 and 8 (spanning 7 versions)
⇤ ← Revision 1 as of 2019-09-13 10:56:55 →
Size: 2108
Editor: SergejDogadov
Comment:
← Revision 8 as of 2019-12-02 11:19:06 → ⇥
Size: 2066
Editor: SergejDogadov
Comment:
Deletions are marked like this. Additions are marked like this.
Line 3: Line 3:
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). Bayesian Analysis with Python is an optional course in the modules "Machine Learning 1-X", "Cognitive Algorithms" and "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).
Line 5: Line 5:
It's '''not''' possible to take the Python course as a standalone course. It's '''not''' possible to take the Bayesian Analysis with Python course as a standalone course.
Line 10: Line 10:
 || '''Course Period:''' || from January 7th, 2019 to February 11th, 2019 ||  || '''Course Period:''' || from January 7th, 2020 to February 11th, 2020 ||
Line 16: Line 16:
 ||<(^|3>'''Trainers''' || Sergej Dogadov ||
 || Dr Marina Höhne ||		  ||<(^|2>'''Trainers''' || Sergej Dogadov ||
 || Dr Shinichi Nakajima ||
Line 19: Line 19:
 || '''ISIS:''' https://isis.tu-berlin.de/course/view.php?id=17314 (enrolment key will be given during the first-day lecture) ||  || '''ISIS:''' https://isis.tu-berlin.de/course/view.php?id=18422 ||
Line 22: Line 22:
 * '''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.		  * '''When does the course start?''' on Tuesday January 7th, 2020 at 14:15
 * '''How to register for the course?''' Pre-registration is not needed. However, register for the ISIS course in time to be able to submit the exercises.
Line 26: Line 26:
Knowledge of elementary programming concepts will be helpful. Be aware that lack of such knowledge will increase the time demand of the class. 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.

Bayesian Analysis with Python

Bayesian Analysis with Python is an optional course in the modules "Machine Learning 1-X", "Cognitive Algorithms" and "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.

Frequently Asked Questions (FAQ)

  • When does the course start? on Tuesday January 7th, 2020 at 14:15

  • How to register for the course? Pre-registration 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 ''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_BAP (last edited 2019-12-02 11:19:06 by SergejDogadov)