- 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