General Info

CPSC 599.44 Machine Learning - General Information


Jörg Denzinger
Email: Phone: (403) 220-5574
Office: ICT 752 Office hours: TR 14:00 - 15:00 or by appointment
Lectures:L01: TR 12:30 - 13:45 in ST 125


Nov. 3, 2017:     All links are working now.
Jan. 2, 2017:     Course web site started. Only this page is available at this time.

Description of the course

This course will present various techniques for learning various kinds of knowledge. This includes concept learning, decision trees and inductive logic programming, as well as reinforcement learning, analogy learning and case-based reasoning. We will also look at several methods for clustering.

In addition to presenting the foundations and basics of a method, we will also point out the components that can be improved using knowledge about the application a learning system is aimed for. This is also reflected in the course assignments that consist of applying a machine learning concept customized to an application area to a given set of experiences in this application area.

Since this is a 599 course, permission of the Department is required. This permission will be granted if a student has successfully taken Computer Science 433 (or is registered in CPSC 433 in Fall 2017). Interested students fulfilling this condition should contact the instructor.


To be determined.

to an explanation of the assessment of the students taking the course.

Last Change: 3/11/2017