Coursebooks 2018-2019

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Learning theory

CS-526

Lecturer(s) :

Macris Nicolas
Svensson Ola Nils Anders
Urbanke Rüdiger

Language:

English

Summary

Machine learning and data analysis are becoming increasingly central in many sciences and applications. This course concentrates on the theoretical underpinnings of machine learning.

Content

Learning Prerequisites

Recommended courses

Learning Outcomes

By the end of the course, the student must be able to:

Teaching methods

Expected student activities

Assessment methods

Final exam and graded homeworks

Supervision

Office hours Yes
Assistants Yes
Forum Yes
Others Course website

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German