Topics in Learning and Intelligent Systems (CMPT 820.3)

Recent/Current Offerings

Syllabus / Public content Section Term Instructor
CMPT 820 01 September 2016 Kevin Stanley (primary instructor)

Description

This course explores advanced techniques for management and analysis of data in unstructured application environments. Techniques covered may be chosen from the following: Bayesian modelling, data conditioning, machine learning (Bayesian inference, neural networks, decision trees, classifiers), user interface agents, and other similar techniques in the AI research literature as appropriate.

Prerequisite(s)

Open to graduate students in computer science who have at least one undergraduate course (3 credit units) of Artificial Intelligence.

Resources and Supports for CMPT 820

U of S Bookstore Textbook Search
Library Reserves Search
Hire a Tutor Search