Explore Artificial Intelligence's Role in Education with Dr. Maria Cutumisu
Overview of the Course
This course provides an exploration of the principles behind machine learning (ML), focusing on fundamental ML algorithms applicable to various domains.
Course Objectives
- Learning to think critically about data and models.
- Understanding the conceptual foundations of basic ML algorithms.
- Choosing the appropriate algorithm for different learning tasks.
- Visualizing, evaluating, and interpreting performance measures accurately.
Instructor Background
Dr. Maria Cutumisu, an Associate Professor at McGill University's Faculty of Education, leads the course. Her research intersects computing science and educational psychology, focusing on areas like feedback processing and AI in gaming.
Course Schedule
The course runs from January 6 to April 11, 2025, with classes on Fridays from 8:35 AM to 11:25 AM in the Leacock Building, Room 110.
- Registration CRNs: EDPE 561 - Artificial Intelligence in Education (CRN 7129-001/7130-002).
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.