Knowledge-Based Artificial Intelligence: Cognitive Systems

Course Website

Average Workload

14.4 hrs/wk

Average Difficulty

3.0 /5

Average Overall

3.6 /5
CS-7637
Knowledge-Based Artificial Intelligence: Cognitive Systems
Taken Spring 2024
Reviewed on 12/31/2024
Workload: 9 hr/wk
Difficulty: Medium
Overall: Liked

Full review here! https://the11d.wordpress.com/2024/12/31/my-thoughts-on-kbai-omscs-review-6/

TLDR (Thanks GPT!)

CS 7637 (Knowledge-Based Artificial Intelligence) in OMSCS provides a deep dive into classical AI from a cognitive science perspective, emphasizing symbolic reasoning over statistical methods. The course features a rigorous workload, including weekly assignments, open-ended mini-projects, proctored exams, and a semester-long project to build an AI agent for solving Raven’s Progressive Matrices (RPM). Students need strong Python and writing skills, with challenges like Mini-Project 2 requiring significant logical problem-solving and creativity. While some content feels outdated and involves busywork, the course’s engaging lectures, unique problem-solving opportunities, and focus on foundational AI concepts make it highly rewarding for those interested in classical AI approaches. The reviewer rated it 3.8/5 for quality and 3.1/5 for difficulty, recommending it for students eager to explore cognitive science and symbolic AI.