Computer Science 3200:
Algorithmic Techniques for Artificial Intelligence
(Fall 2025)

http://www.cs.mun.ca/~harold/Courses/CS3200

Instructor	Office	Office Hours	Lectures
Todd Wareham harold@mun.ca	EN-2034 (709) 864-4601	TBA	TR, 2:00-3:15 pm, Room EN-1054

Prerequisites

COMP 2001 or the former COMP 2710, COMP 2002 or the former COMP 2711, and Statistics 2500 or Statistics 2550.

Lecture Outline (Tentative)

• Problem-solving and Search (agents and environments, single-agent search, two-agent search, constraint satisfaction problems) (8 lectures) [Chapters 2-6, Russell and Norvig (2010)]
• Knowledge and Reasoning (logical agents, reasoning in propositional and first-order logic, planning) (7 lectures) [Chapters 7, 8, and 10) Russell and Norvig (2010)]
• Machine Learning (evolutionary computing, reinforcement learning, neural networks and deep learning) (6 lectures) [Chapter 21, Russell and Norvig (2010); Chapter 21, Russell and Norvig (2022)]

The lectures and displays (and all material) delivered or provided in this course by the instructor, including any visual or audio recording thereof, are subject to copyright owned by the instructor. It is prohibited to record or copy by any means, in any format, openly or surreptitiously, in whole or in part, in the absence of express written permission from the instructor any of the lectures or materials provided or published in any form during or from the course.

Evaluation Scheme

• There will be no supplementary assignments. Extensions for missed assignments (with appropriate documentation) will be given at the instructor's discretion. Where such extensions are not given, marks for missed assignments (with appropriate documentation) will be averaged over the remaining assignments at the instructor's discretion.
• There will be no supplementary exams. Marks for missed in-class exams (with appropriate documentation) will be averaged over the remaining exams at the instructor's discretion.
• Students must pass the final exam to pass the course.

Assignment Deadlines (Tentative)

Assignment	Given	Due
Assignment #1	Sep 9	Oct 2
Assignment #2	Sep 9	Nov 6
Assignment #3	Sep 9	Dec 4

Recommended Readings

• Russell, S. and Norvig (2010) Artificial Intelligence: A Modern Approach (3rd Edition). Prentice-Hall.
• Russell, S. and Norvig (2022) Artificial Intelligence: A Modern Approach (4rd Edition). Prentice-Hall.

• Memorial University of Newfoundland is committed to supporting inclusive education based on the principles of equity, accessibility, and collaboration. Accommodations are provided within the scope of the University Policies for the Accommodations of Students with Disabilities (https://www.mun.ca/policy/site/policy.php?id=239). Students who may need an academic accommodation are asked to initiate the request with the Glenn Roy Blundon Centre at the earliest opportunity (https://www.mun.ca/student/about-us/units-and-contacts/accessibility-services---the-blundon-centre/).
• Students are expected to adhere to those principles which constitute proper academic conduct. A student has the responsibility to know which actions, as described under Academic Offences in the University Regulations, could be construed as dishonest and improper. Students found guilty of an academic offence may be subject to a number of penalties commensurate with the offence including reprimand, reduction of grade, probation, suspension or expulsion from the University. For more information regarding this policy, students should refer to the University Regulations for Academic Misconduct (Section 6.12) in the University Calendar.

Created: July 11, 2025
Last Modified: July 11, 2025