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Course number
EN.601.767 - Deep Learning Methods for Automated Discourse
Instructor
João Sedoc
Discussion Forum
Piazza
Time and place
Spring 2020, Tuesdays and Thursdays 3-4:15, Hodson 303
Prerequisites
Course Readings
The course will have weekly required readings. A student will lead the discussion for each week’s papers.
Grading
This course is project based:
  • Paper Presentation 10%
  • Project Demonstration 20% (checkpoints 5%)
  • Written report 35%
  • Report Review 5%
  • Homeworks (4) 20%
  • Reading assignments 10%
Course materials
We’re going to be working with Amazon Echo and PyTorch.
Assignments
Quick outline for the next assignments.
  • Project checkpoint 1 - due March 31st
    • write a two page overview of the project and a 5 minute presentation
  • Project checkpoint 2 - due ~ April 16th
    • modify first document to 4 pages with initial results and another 5 minute presentation
  • Final project paper submission - due ~ April 30th
    • submit 6 page paper - for open review
  • Final paper reviews due - May 3rd

  • During the final exam period May 7th 9 AM - 12 PM 20-30 minute presentation and demo

  • Final paper submission - due ~ May 11th 8 PM ET