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Dr. Christel Kemke
E2-412 EITC Building
phone: 474-8674
e-mail: ckemke@cs.umanitoba.ca
web page: http://www.cs.umanitoba.ca/~ckemke
office hours: TBA
The COMP 4200 course explains and explores essential concepts and methods of Expert Systems (XPS) and their design and development.
We will focus on the following topics in the course:
A second major component of the course is the practical application of Expert Systems technology
using the CLIPS expert system development language. We will do several programming exercises in labs,
some assignments, and a course project.
Course notes will be available on the
course home page (http://www.cs.umanitoba.ca/~comp4200).
Knowledge of the Notes and the contents of the course web page is essential.
Comment: The first textbook is easier and nicer to read but is very expensive.
The second textbook contains more material and is much cheaper but in parts a bit difficult to understand.
You can choose either textbook or both.
There will be 3-4 combined programming / theoretical assignments.
According to Faculty of Science regulations, undergraduate courses must assign 50% of their final marks to an Exam component.
Each student will research literature on one specific exemplary Expert System (preferred) or topic in Expert Systems research.
The research should be based on current scientific literature, e.g. an article in the International Journal on Expert Systems
with Applications.
Students have to propose a topic with accompanying literature to the instructor within one month after term start.
The research will be presented by the students in class late October / early November.
Students will design and implement a prototypical Expert System in the second half of the course.
Typically, this will be a group task (3-4 students).
Students will form groups and decide on an application of their project by the end of October.
The projects will be presented by the groups in class in the last 1-2 weeks of the term.
Please see the Important Dates section of the U of M General Calendar for information on holidays, exams, and voluntary withdrawal dates.
Academic dishonesty is a very serious offence and will be dealt with in accordance with the University's discipline bylaw.
Examples of academic dishonesty include:
For additional informaton, see section 7 of the General Academic Regulations and Requirements in the U of M General Calendar and the web page regarding Academic Dishonesty Guidelines and Penalties of the Faculty of Science .
Back to course home page.