Grading will be based on:
Participation (10%)
You will receive credit for asking and answering questions related to the homework on Piazza and engaging in class discussion.
Homeworks (50%)
The homeworks will include both written and programming assignments. Homework should be submitted to the Dropbox folder in
Carmen by
11:59pm on the day it is due (unless otherwise instructed). Each student will have 3 flexible days to turn in late homework throughout the semester. As an example, you could
turn in the first homework 2 days late and the second homework 1 day late without any penalty. After that you will loose 20% for each day the homework is late.
Please email your homework to the instructor in case there are any technical issues with submission.
Midterm (20%)
There will be an in-class midterm on March 7.
Final Projects (20%)
The final project is an open-ended assignment, with the goal of gaining experience applying the techniques presented in class to real-world datasets.
Students should work in groups of 3-4. It is a good idea to discuss your planned project with the instructor to get feedback.
The final project report should be 4 pages and is due on April 30.
The report should describe the problem you are solving, what data is being used, the proposed technique you are applying in addition to
what baseline is used to compare against.