New Course: Artificial Intelligence in Education with Dr. Maria Cutumisu | Channels

An exploration of the rules underlying the present observe of machine studying (ML) by specializing in basic ML algorithms utilized to many domains. This course is designed to assist college students study to suppose critically about knowledge and fashions, perceive the conceptual underpinnings of the essential ML algorithms and strategies, how they work, how to decide on an algorithm for every type of studying job, and how you can visualize, consider, and interpret efficiency measures and outcomes appropriately.

By understanding how fashions are produced, college students will be capable to develop rigorous knowledge fashions, interpret them appropriately, and establish their strengths and limitations.
 

Dr. Maria Cutumisu

Affiliate Professor (Studying Sciences), McGill’s College of Schooling,
Division of Academic and Counselling Psychology

Dr. Cutumisu’s analysis attracts on computing science and academic psychology and has been funded by tri-council grants and scholarships. She graduated with an M.Sc. and a Ph.D. in Computing Science from the Division of Computing Science, College of Alberta and he or she skilled as a postdoctoral scholar in Studying Sciences on the Stanford Graduate Faculty of Schooling.

Her analysis pursuits embrace suggestions processing and reminiscence, machine studying and academic knowledge mining for automated suggestions technology, AI in video games, computational considering, and knowledge literacy.
 

Course Schedule:
January 6 – April 11, 2025; Fridays 8:35 AM – 11:25 AM

Location:
Leacock Constructing – Room 110

Registration CRNs:
EDPE 561 – Synthetic Intelligence in Schooling
(CRN 7129-001/7130-002)
 

ecpinfo.training [at] mcgill.ca (topic: Inquirypercent3Apercent20Artificialpercent20Intelligencepercent20inpercent20Education) (Get Extra Infoformation)