This course delves into the intersection of cognitive science and AI, starting with the exploration of individualized AI models to simulate unique cognitive processes. Students will begin by building personalized AI systems, gaining hands-on experience with AI technologies tailored to cognitive models. The course then transitions to foundational AI algorithms and neurobiological basics, helping students understand core principles of both artificial and human intelligence. Topics include cognitive function modeling, ethical implications, and applications across various fields. This course equips students with deep insights into the synergy between AI and human cognition, fostering skills applicable in technology, neuroscience, and beyond.
Note: This module will fulfill CHS Artificial Intelligence Common curriculum or CHS Scientific Inquiry (but not both). However, this module will not fulfill CDE Artificial Intelligence Common curriculum.
Student Reviews
Anonymous AY24/25 Sem 2
About the Instructor
Prof Filippov is very passionate and knowledgeable on the topics covered. Theres always value added when we ask questions and he responds enthusiastically without criticism.
Content (Structure/Organization)
The course was organised with various topics relating to cognitive neuroscience and artificial intelligence, varying from scientific breakdowns of the brain to how Netflix is being designed.
This course definitely has some structure to it, especially as assignments are based on previous seminars covered.
Learning outcomes were clearly defined at the start of the semester, with most of them being fulfilled.
In terms of flexibility, we were allowed to present on any topics relating to the course, where our class was quite diverse in selecting their topics, ranging from AI in esports to fintech. We definitely learned more from the presentations by our peers
Manageability of Workload
On the lower end, 1hr a week to refresh content if [you] need to. On the higher end for assignments, generally take longer depending on [your] familiarity with programming
Ease/Difficulty of Attaining Grades
A is achievable given a technical background. Its quite a hurdle if you are unfamiliar with coding or using google notebooks. Prof is quite liberal with the grades.
Learning Value/Recommendation
Biased perspective, coming from a technical background and familiarity with AI, I would say its okay.
However, for a non STEM student, I think this course can be very useful to learn more about AI’s deep relation and history with the mind.
Additional Comments/Word of Advice
The projects are really fun!