Grading will be based on:
You will receive credit for asking and answering questions related to the homework on Piazza, engaging in class discussion and participating in the in-class exercises.
The homeworks will include both written and programming assignments. Homework should be submitted to the Dropbox folder in Carmen
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.
There will be an in-class midterm (the date is TBD).
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.
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.