Taught by: Mikhail Filippov
Content (Structure/Organization): 3
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: 4
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: 2
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.
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.
Additional Remarks:
The projects are really fun!