Prof. Tommi Jaakkola, email@example.com
Mon/Wed 2:30-4pm in 32-141
Biswajit (Biz) Bose and Adrian Corduneanu.
Fridays 11:00am-12:30pm in 4-145 or 2:30pm-4:00pm in 4-159.
There will be a total of 5-6 problem sets, due roughly every two weeks. The content of the problem sets will vary from theoretical questions to more applied problems. You are encouraged to collaborate with other students while solving the problems but you will have to turn in your own solutions. Copying will not be tolerated. If you collaborate, you must indicate all of your collaborators.
Each problem set will be graded by a group of students with the guidance of your TAs. Each problem set will be graded in a single grading session, usually on the first Monday after it is due, starting at 5pm. Every student is required to participate in one grading session. You should sign up for grading by contacting a TA, by email or in person; doing it early increases the chances of getting the preferred grading schedule. Students who do not register for grading by the third week of the course, will be assigned to a problem set by us.
If you drop the class after signing up for a grading session, please be sure to let us know so we can keep track of students available for grading. If you add the class durring the term, please remember to sign up for grading.
The projects are due on Wednesday, December 1. Electronic submission is required but we can accept only postscript or pdf documents. The short proposal should be turned in on or before October 27.
The projects can be literature reviews, theoretical derivations or analyses, applications of machine learning methods to problems you are interested in, or something else.
Your overall grade will be determined roughly as follows: Midterm 15%, Problem sets 30%, Final 25%, Project 30%
There are three useful texts for this course; each covers some part of the class material, as well as things outside of the scope of the class.
You will not be able to find all the course material in the text nor do we plan to go through the chapters in order or in full. You are responsible for the material covered in lectures, lecture notes, problem sets, as well as in the chapters/sections of the text specifically indicated. The weekly recitations/tutorials will be helpful in understanding the material and solving the homework problems.