Xiaoqi Tan, PhD

Area of Study / Keywords

Algorithms Decision-making under uncertainty Online algorithms Algorithmic economics

Research

Algorithms and decision-making under uncertainty (course), especially online algorithms, economic aspects of algorithms, and their role in systems and networks shaped by dynamics and strategic behavior.

For more details about Xiaoqi’s research, please visit his personal website or the SODALab@UAlberta page.

The SODALab @UAlberta is constantly looking for highly motivated students at all levels (undergraduate and graduate). For more details, read Xiaoqi's Letter to Prospective Students first before reaching out.

CMPUT 204 - Algorithms I

The first of two courses on algorithm design and analysis, with emphasis on fundamentals of searching, sorting, and graph algorithms. Examples include divide and conquer, dynamic programming, greedy methods, backtracking, and local search methods, together with analysis techniques to estimate program efficiency. Prerequisites: CMPUT 175 or 275, and CMPUT 272; and one of MATH 100, 114, 117, 134, 144, or 154.

Browse more courses taught by Xiaoqi Tan

• Google Scholar
• Personal Website
• SODALab