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Canyon College

online Artificial Intelligence course at Canyon College

COURSE SYLLABUS: Artificial Intelligence

Course Title:
Department:
Instructor:
Home Ph. #: 		CST390 - Artificial Intelligence
Computer Science
Gene Bryant, MS - E-mail | Vita
(000) 000-0000


Course Description::

This course will provide an introduction to the field of Artificial Intelligence. It will cover the history of AI (its revival in the 80’s), various branches of AI and current research efforts in the field.

Required Textbook: Online Bookstore

Artificial Intelligence: A Modern Approach (2nd ed) by Stuart Russell / Peter Novig Prentice-Hall, 2003
ISBN #: 0137903952

Grading:
MidTerm Exam - 25%

Final Exam - 25%

Written Assignments - 50%


90-100%
80-89%
70-79%
60-69%
Below 60%
A
B
C
D
F


Schedule and Assignments:

Week
Read/Study
Assignments
1 Ch 1: Introduction
Ch 2: Intelligent Agents 		Complete Assignment 1 by Day 7.
2 Ch 3: Solving Problems by Searching
Ch 4: Informed Search and Exploration 		Complete Assignment 2 by Day 7.
3 Ch 7: Logical Agents
Ch 8: First-Order Logic 		Complete Assignment 3 by Day 7.
The Midterm Exam will be emailed by Day 7.
Send me an email if you have not received a copy by then.
4 Midterm Exam Submit Midterm Exam by Day 7.
5 Ch 9: Inference in First-Order Logic
Ch 10: Knowledge Representation 		Complete Assignment 4 by Day 7.
6 Ch 11: Planning
Ch 13. Uncertainty 		Complete Assignment 5 by Day 7.
7 Ch 17: Making Complex Decisions
Ch 18: Learning from Observations 		Complete Assignment 6 by Day 7.
8 Ch 27: AI - Present and Future
Final Exam 		Submit Final Exam by Day 7.


Miscellaneous:

Work Week:
For the purpose of this course, the work week will begin on Monday (Day 1), and end on Sunday (Day 7). If you start the course in the middle of a week, your Day 1 of Week 1 will be the Monday immediately following your start day.

Late Submissions:
Any work turned in late, up to one week, will be assessed a 10% penalty; up to two weeks, 20% penalty. No work will be accepted after more then two weeks after the due date. All work must be submitted by Day 7 of Week 8.

Email:
Send all email to gasan92@gmail.com. When sending email, please put the course number (CST390) as part of the subject line. Any of the following would be ideal:

CST390 – Assignment 1 Question
CST390 – Robots
CST390 – HELP!!!

All email inquires needing a reply, will be answered within 24 hours. If you do not receive some type of an acknowledgement from me within that time, I either did not receive the original email, or I, uhm, forgot. In either case, please send me a “gentle” reminder. If that doesn’t work, there really might be something wrong with our email “connection,” and you should follow up with a phone call.

What is expected of the students:
LOTS. Lots of hours, sweat and effort, along with night after night of writing code. At least, if this is what you think from the first, you’ll be better off. There will be lots of reading, and there will be tons of lines of already written code examples to run, and many new lines of code for you to write. Yes, all of this will be very time consuming. Even though you’re not required to attend class, you are expected to keep up with the reading, trying out the samples programs, etc. An hour on Sunday before an assignment is due will NOT work. Once you get behind in the course work, it will be extremely difficult to catch up.