Skip to content

Latest commit

 

History

History
25 lines (16 loc) · 1.06 KB

course-structure.md

File metadata and controls

25 lines (16 loc) · 1.06 KB
parent nav_order
Course Information
3

Course Structure

Unless circumstances dictate otherwise, the course will be taught in person, on campus.

Group work will happen on online boards provided by the course team.

The course includes lectures, group workshops, individual readings, and occasional homework activities. Topics covered include AI as a technology, ethical issues of AI, and strategic, large-scale design approaches.

Our Wednesday morning and afternoon sessions always follow the same format:

  • Opening
  • Lecture followed by a workshop (sometimes in reverse order)
  • Discussion
  • Closing

There will be ample time for breaks throughout the sessions.

Assigned readings accompanied by reflection questions help you prepare for the topics covered in the following week.

Lectures will not be streamed or recorded. Slides may or may not be used; if they are, they may or may not be uploaded to Brightspace afterward. In any case, slides will likely contain only some of what was discussed. We strongly recommend taking notes during lectures for future reference.