Otto-von-Guericke-Universität Magdeburg

 
 
 
 
 
 
 
 

Machine Learning

General Course Information

On this web page, information (slides, assignments, etc.) for the course 'Machine Learning', which is held during summer term 2008 by Andreas Nürnberger, is given.

This course provides an introduction to the principles, techniques, and applications of Machine Learning. Topics covered include, among others:

Prerequisites for attending this course is basic knowledge of computer science. However, we are also open for interested students from other faculties.

Course Schedule and Room Assignments

Title Time Start Room
Lecture Thursday 3:00pm - 5:00pm 03.04.2008 G22A-110
Exercises Wednesday 1:00pm - 3:00pm 09.04.2008 G29-K059

Course Staff

If you have any questions concerning the lectures or assignments please contact (if possible by email)

Requirements for the 'Schein'

For each exercise lesson assignments will be given (usually one week in advance). There will be two categories of assignments: Programming and others. Programming assignments can be done by a group of two or three students, all other assignments have to be done individually. To all assignments depending on its complexity a specific number of points are given (approx. 25% of the assignments will be programming). In the beginning of each exercise lesson, every student has to indicate the assignments that he has solved and that he is willing to present and discuss.

In order to obtain a 'Schein', the following criteria have to be fulfilled:

Requirements for the Oral Exam

We require all our students to participate in the excercise lessons. Students, who want to take an oral exam, are also supposed to fulfill the requirements for a 'Schein'. The colloquium will be replaced by the oral exam.

Materials

We will provide the lecture slides, assignment sheets, and further material during the course.

Lecture Slides

Assignment Sheets

Literature

Last Modification: 14.11.2011 - Contact Person: Prof. Dr.-Ing. Andreas Nürnberger