Ryan Hayward, PhD
Contact
Professor, Faculty of Science - Computing Science
- hayward@ualberta.ca
Overview
About
Education
- B.Sc. Honours, Mathematics, Queens University, 1981
- M.Sc., Mathematics, Queens University, 1982
- Ph.D., Computer Science, McGill University, 1987
Positions
- Department Outreach & Diversity Director
Research
Areas
Algorithmics
Summary
I am interested in algorithms, especially those related to classic 2-player games such as Go or Hex, and to the latest techniques in artificial intelligence that help build artificial agents to play such games. I am also interested in algorithms related to famous problems in graph theory, for example the four-colour problem or the perfect graph theorem.
Courses
CMPUT 304 - Algorithms II
The second course of a two-course sequence on algorithm design. Emphasis on principles of algorithm design. Categories of algorithms such as divide-and-conquer, greedy algorithms, dynamic programming; analysis of algorithms; limits of algorithm design; NP-completeness; heuristic algorithms. Prerequisites: CMPUT 204; one of STAT 151, 161, 181, 235, 265, SCI 151, or MATH 181; and one of MATH 225, 227, or 228.
CMPUT 355 - Games, Puzzles, Algorithms
An introduction to algorithms and theory behind computer programs that solve puzzles (mazes, peg solitaire, etc.) or play games (chess, Go, Hex, etc.). This course is intended for a general audience. Prerequisite: any 200-level Computing Science course.