Xiaoqi Tan, PhD

Area of Study / Keywords

Online Algorithms Algorithmic Economics Machine Learning Decision-Making under Uncertainty

Research

Algorithms for decision-making under uncertainty, particularly online algorithms, algorithmic economics, and learning under different forms of information, as well as their broader connections to systems involving interacting and potentially strategic agents.

I am always looking for highly motivated students at all levels (undergraduate and graduate). Below are some useful links to learn more about my research:

• SODALab @UofA page — contains up-to-date information about my research group, including our latest publications, member highlights, and details on how to join depending on your current status.
• Letter to Prospective Students — outlines my core values in research and mentoring, as well as guidelines on how best to reach out. If you decide to email me, please review this letter first.
• CMPUT 676 course page — provides an overview of the research themes that align closely with the ongoing work in my group. Interested students may find it helpful to review the page; the course was most recently offered in Fall 2024.

If you’re already at UofA: My group meets weekly at the SODALab Seminar, which is open to anyone interested in attending. Click here to view our past and upcoming schedules.

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

• Xiaoqi Tan's Personal Website
• Xiaoqi Tan's Research Group: SODALab @UofA
• Xiaoqi Tan’s Google Scholar