Instructor: Doug Downey
Office Hours: 4:00-5:00PM Monday, Ford 3-345
Email: ddowney <at> eecs <dot> northwestern <dot> edu
Teaching Assistants:
Dave Demeter
Chen Liang
Zheng Yuan
Peer Mentors:
Christopher Hartman
Yingda Hu
Vickie Li
Avi Vaid
Ruohong Zhang
Group Office Hours: Wednesday 4-5PM, Thursday 3-4PM, Tech L324
Contacting the TAs: Please use the following e-mail address to reach all TAs at once: eecs349northwestern <at> gmail <dot> com
Homework will be submitted via Canvas. Details on the specific files to include are given in each homework assignment.
Late peer review assignments are penalized 33% per day. All other late assignments are penalized by 10% a day, and will NOT BE ACCEPTED more than one week after the original deadline.
Problem Set 1 | Due 11:59PM April 3 | 10 pts |
Problem Set 2 | Due 11:59PM April 14 | 10 pts |
Problem Set 3 | Due 11:59PM May 12 | 10 pts |
Problem Set 4 | Due 11:59PM May 24 | 10 pts |
The Web pages for the completed course projects from 2008, 2010, 2014, 2015, 2016 and and other years are available for perusal.
Deadlines:
Proposal (1 pg) | Due 11:59PM Wednesday, April 19 | 5 pts |
Proposals Peer Review | Due 11:59PM Tuesday, May 9 | 5 pts |
Status Report (1-2 pg) | Due 11:59PM Wednesday May 17 | 5 pts |
Status Peer Review | Due 11:59PM Tuesday, May 30 | 5 pts |
Project Web page | Due 11:59PM Tuesday, June 6 (small bonus for turning in June 4) | 20 pts |
You can use any learning algorithm libraries or packages that you like for your final project. You don't have to code up your own algorithms, but you can do so if you want to make that a focus of your project (implementing algorithms on your own will probably mean you spend less time on data acquisition and experimentation). See links to some general ML and neural net packages below.
General ML packages:
Neural Net packages: