CAS Advanced Machine Learning

The Mathematical Institute is offering a Certificate of Advanced Studies (CAS) program in Advanced Machine Learning (AML).

Graduation is possible within one or two years. The CAS provides 16 ECTS credit points achieved in 18 days of presence with a total workload about 480 hours, including a 4 ECTS project work.

It is structured in six modules which are offered in blocks and Fridays' afternoon. The CAS is at a university master level and programming and some machine learning skills from eduction or profession are required, e.g. the CAS Applied Data Science. 

All modules take place at the university some minutes walk from the Bern railway station. The exepction is Module 3 which takes place on Mallorca at the hotel

Registration for the CAS AML 2020/21 is still open.

Newly registered participants will be invited to an online information meeting with the possibility to cancel registration without any fee within one week after the meeting. 

 Degree CAS in Advanced Machine Learning University of Bern 
 Structure Modular, part time, project.
 ECTS  16 ECTS credit points. 18 days of presence. About 480 hours workload total.
 Duration 1-2 years 
 Location University of Bern
 Language English

9'600 CHF (5'600 CHF for employees and enrolled students of the University of Bern). 

The fee includes accommodation and full board at the Bern Autumn School on Advanced Machine Learning in Mallorca (module 3).

Payment in installments is possible.
Enrolment See registration tab. 
Manager PD Dr. Sigve Haug
Traegerschaft Mathematical Institute
 Program Management Prof. Dr. Jan Draisma (MAI), Prof. Dr. Paolo Favaro (INF), PD Dr. Sigve Haug (MAI) (manager), Prof. Dr. Christiane Tretter (MAI), Prof. Dr. Thomas Wihler (MAI) (chair)

Rooms and lecturers to be confirmed. All courses take place in walking distance from the Bern railway station. The exception is Module 3 which takes place on Mallorca (stay and full board included in the fee).

Building abbreviations
Abbreviation Building 
ExWi Exakte Wissenschaften (Sidlerstrasse 5) 
UniM Uni Mittelstrasse (Mittelstrasse 43) 
HG Main Building (Hochschulstrasse 4) 
UniS UniS (Schanzeneckstrasse 1) 
CAS AML Schedule 2020/21 (repeated annually)
Date Time   Room  Module  Lecturer  Comment
2020-03-30 17:30-18:30 ExWi 228 Introduction to the CAS AML PD. Dr. S. Haug  One introduction is mandatory
2020-05-13 17:30-18:30  Online here Introduction to the CAS AML   No registration needed. Ilias here.
2020-06-29 17:30-18:30 Online Introduction to the CAS AML    Online here
2020-08-18 09:00-12:30   MM Mathematical Methods for Data Science and Machine Learning (elective module)
Dr. K. Sipos Course link.
2020-08-19 09:00-12:30   MM
2020-08-20 09:00-12:30   MM
2020-08-21 09:00-12:30   MM    
2020-08-25 09:00-12:30   M1 Review of Machine Learning, Practical Methodology and Applications    Dr. G. Conti Course link.
2020-08-26 09:00-12:30   M1    
2020-08-27 09:00-12:30   M1    
2020-08-28 09:00-12:30   M1    
2020-09-01 09:00-12:30    M2 Deep Networks
Dr. G. Conti  Course link
2020-09-02 09:00-12:30   M2    
2021-09-03 09:00-12:30   M2
2021-09-04 09:00-12:30   M2
2020-09-28  20:00 Mallorca Dinner at hotel (    Arrival day
2020-09-29 08:00-19:30 Mallorca M3 Deep Learning Research Dr. Radhakrishna Achanta, Dr. Mykhailo Vladymyrov, PD Dr. Sigve Haug et al.  Course link
2020-09-30 08:00-19:30 Mallorca M3    
2020-10-01 08:00-19:30 Mallorca  M3    
2020-10-02 08:00-12:30 Mallorca M3   Departure afternoon
2020-10-13/16 10:15-12:00 / 13:15-15:00 HG M4 M4 Selected Topics on Machine Learning and Artificial Intelligence (seminar)  Prof. Dr. Paolo Favaro, PD Dr. S. Haug, Simon Jenni  This seminar happens Tuesdays 10:15-12:00 and Fridays 13:15-15:00. Please select your preferred slot here. Course link
2020-10-16 15:15-17:00 HG M5 M5  Philosophy and Ethics of Extended Cognition and Artificial Intelligence Prof. Dr. Dr. C. Beisbart, PD S. Haug   Course link
2020-10-23 13:15-15:00 HG M4    
2020-10-23  15:15-17:00 HG M5    
2020-10-30 13:15-15:00 HG M4    
2020-10-30 15:15-17:00 HG M5    
2020-11-06 13:15-15:00  HG  M4    
2020-11-06 15:15-17:00 HG M5    
2020-11-13 13:15-15:00 HG M4    
2020-11-13 15:15-17:00 HG M5    
2020-11-20 09:00-17:00 UniS M4 Bern Data Science Day    
2020-11-20 09:00-17:00 UniS M5 Bern Data Science Day    
2020-11-27 13:15-15:00 HG M4    
2020-11-27 15:15-17:00 HG M5    
2020-12-04 13:15-15:00 HG M4    
2020-12-04 15:15-17:00 HG M5    
2020-12-11 13:15-15:00 HG M4    
2020-12-11 15:15-17:00 HG M5    
2020-12-18 13:15-15:00 HG M4    
2020-12-18 15:15-17:00 HG M5     
2021-01-26 09:00-12:30  HG Elective Module to be defined   Course links to come
2021-01-27 09:00-12:30  HG      
2021-01-28 09:00-12:30 HG      
2021-01-29 09:00-12:30 HG      
 2021-01-26 09:00-12:30 HG  Elective Module to be defined   Course links to  come 
 2021-01-26 09:00-12:30 HG      
 2021-01-26 09:00-12:30 HG      
 2021-01-26 09:00-12:30 HG      
2021-04-31     CAS Thesis Submission Deadline     
2021-07-02 17:00-21:00 ExWi Apero for finisher    

Modules 1 to 5 are for all participant the same. In addition one has to attend one elective module. For 2020/21 three elective modules are offered. 

Per year there are 24 places. Registrations are accepted in the order they arrive. A waiting list is maintained.  

The CAS management may decide not to carry out a year's programme by June 30.

The full list of Continuing Education offers from the University of Bern is  here.