An interdisciplinary seminar course exploring the parallels between human learning and machine learning focusing on the set of shared computational problems faced by humans and machines which includes making complex decisions; predicting future events; storing and retrieving information efficiently; and generalizing knowledge to new situations.
Sample Syllabus for course 185:420
Course Descriptions
01:185:420 Learning in Humans and Machines
- Course Code: 01:185:420
- Semester(s) Offered: Fall
- Credits: 3
- Prerequisites: Introduction to Cognitive Science (01:185:201)