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 is a retreat and takes place on Mallorca at the hotel www.esblaudesnord.com (location may change according to travel restrictions).

Registration for the CAS AML 2021/22 is 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. 

Information  
 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
 Costs 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 retreat Module 3. Payment in installments is possible.
Enrolment See registration tab. 
 Contact cas-aml@math.unibe.ch
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)

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.

Rooms and lecturers to be confirmed. All courses take place in walking distance from the Bern railway station. The exception is Module 3 which is a retreat (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) 
FS Fabrikstrasse 
CAS AML Schedule 2021/22
Date Time   Room  Module  Lecturer  Comment
           
2021-02-15 18:00-19:00 ExWi 228 Introduction to the CAS AML PD. Dr. S. Haug  One introduction is mandatory
2021-04-26 18:00-19:00   Introduction to the CAS AML   No registration needed. Online link will come here 
           
2021-08-17 - 2021-08-20 09:00-12:30  TBC M6 Mathematical Methods  Dr. K. Sipos  Elective Module 6
           
2021-08-24 - 2021-08-27 09:00-12:30 TBC M1 Review of Machine Learning, Practical Methodology and Applications    Dr. G. Conti
           
2021-08-31 - 2021-09-03 09:00-12:30  TBC M2 Deep Networks
Dr. G. Conti
           
2021-10-04  20:00 Retreat TBC M3 Dinner at hotel    Arrival day
2021-10-05 08:00-18:30   M3 Deep Learning Research Dr. Mykhailo Vladymyrov, PD Dr. Sigve Haug, Dr. G. Conti (tbc) et al.
2021-10-06 08:00-18:30   M3    
2021-10-07 08:00-19:30   M3    
2021-10-08 08:00-12:30   M3   Departure afternoon
           
2021-10-22 - 2021-12- 17 13:15-15:00 TBC M4 M4 Selected Topics on Machine Learning and Artificial Intelligence (seminar)  Prof. Dr. Paolo Favaro, PD Dr. S. Haug, Simon Jenni 
 2021-10-22 - 2021-12-17 15:15-17:00 TBC M5 M5  Philosophy and Ethics of Extended Cognition and Artificial Intelligence Prof. Dr. Dr. C. Beisbart, PD S. Haug   
           
2021-11-13     CAS Project abstract submission deadline    
           
2022-02-01 - 2022-02-04 09:00-12:30  TBC M6 (elective module)   Imaging, NLP, ...
           
2021-02-13 24:00   CAS Project first version submission deadline    
           
2022-04-30 24:00   CAS Project final version submission deadline   
2022-06-24 24:00   CAS Completion notification    
 2022-07-01 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 6.

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) 
FS Fabrikstrasse 
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
           
2020-08-25 09:00-12:30 FS8 B005 M1 Review of Machine Learning, Practical Methodology and Applications    Dr. G. Conti Course link.
2020-08-26 09:00-12:30 FS8 B005 M1    
2020-08-27 09:00-12:30 FS8 B005 M1    
2020-08-28 09:00-12:30 FS8 B005 M1    
           
2020-09-01 09:00-12:30  UniM 124 M2 Deep Networks
Dr. G. Conti  Course link
2020-09-02 09:00-12:30 UniM 124 M2    
2021-09-03 09:00-12:30 UniM 124 M2
   
2021-09-04 09:00-12:30 UniM 124 M2
   
           
2020-09-01 13:30-17:00   MM Mathematical Methods for Data Science and Machine Learning (elective module)
Dr. K. Sipos Course link.
 2020-09-02 13:30-17:00   MM    
2020-09-03  13:30-17:00   MM    
2020-09-04 13:30-17:00    MM    
           
2020-09-28  20:00 Ascona Dinner at hotel (www.monteverita.org/)    Arrival day
2020-09-29 08:00-18:30 Ascona M3 Deep Learning Research Dr. Radhakrishna Achanta, Dr. Mykhailo Vladymyrov, PD Dr. Sigve Haug et al.  Course link
2020-09-30 08:00-18:30 Ascona M3    
2020-10-01 08:00-19:30 Ascona M3    
2020-10-02 08:00-12:30 Ascona M3   Departure afternoon
           
2020-10-16 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  Please select your preferred slot here. Course link
 2020-10-23 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    
2020-10-30 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     CAS Project abstract submission deadline   Instructions here.
2020-11-13 15:15-17:00 HG M5    
2020-11-20 09:00-17:00 UniS M4    
2020-11-20 09:00-17:00 UniS M5    
2020-11-27 13:15-15:00 HG M4    
2020-11-27 15:15-17:00 HG M5    
2020-12-04 09:00-12:30    M3 Presentation day     Course link
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    
           
2021-01-26 09:00-12:30  HG ML for Natural Language Processing (elective module)   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 ML for Imaging (elective module)   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      
           
2021-02-05     CAS Project first version submission deadline   Instructions here.
           
2021-04-30     CAS Project final version submission deadline     Instructions here.
           
2021-06-25 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. 

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