Course
acronym & number: NETS
8984 |
|
Instructor: Tina
Eliassi-Rad |
Lecture
time: Tuesdays 1:30 – 3:30 PM |
|
Office hours: Tuesdays 3:30 – 4:30 PM |
Lecture
location: 10th
Floor Conference Room, 177
Huntington Ave, Boston, MA |
|
Office location: 10th Floor, 177
Huntington Ave, Boston, MA |
Credits:
2 |
|
Email: tina (at) eliassi (dot) org |
o Class participation (20%): When reading a paper consider
these questions:
a)
What is the problem being addressed?
b)
What are the main technical
contributions?
c)
What are the weaknesses of the
paper, how could they be improved?
d)
What are some of the promising
research questions, and how could they be pursued?
o Eliassi-Rad’s Resources Page
o Ben
Taskar's Matlab Tutorial
o Probability
Review (David Blei, Princeton)
o Probability
Theory Review (Arian Maleki and Tom Do, Stanford)
o Linear Algebra
Tutorial (C.T. Abdallah, Penn)
o Linear
Algebra Review and Reference (Zico Kolter and Chuong Do, Stanford)
o Statistical
Data Mining Tutorials (Andrew Moore, Google/CMU)
o Theoretical
CS Cheat Sheet (Princeton)
o When emailing me, please begin the subject line with [sp16
nets].
o For your class project, you can use whatever programming
language you like.
o Refresh your knowledge of the university's academic
integrity policy and plagiarism.
There is zero-tolerance for cheating!