Course Instructor:
Dr. Hamim Zafar (Email: hamim@iitk.ac.in)
Course TAs:
Abhay Raj Singh Yadav (Email: aarsy@cse.iitk.ac.in)
Anurag Maithani (Email: amanurag@cse.iitk.ac.in)
Amit Negi (Email: amnegi@cse.iitk.ac.in)
Apoorva Jain (Email: apoorvaj@cse.iitk.ac.in)
Sharath Hebbur Padmanabha (Email: sharhp@cse.iitk.ac.in)
Weekly Discussion Session:
Wednesday 10:30 - 11:30 AM
Virtual Meeting:
Virtual discussion sessions will be held on Zoom or Google Meet. The meeting links will be shared the week before. In case you are not there on Zoom, please create an account with your IITK email id.
Piazza Course Page: http://piazza.com/indian_institute_of_technology_kanpur/fall2020/cs690a
We are going to use Piazza for Q&A and other discussions. Please signup for the course using the above link. You also need to use the access code cs690a for enrolling in the course.
Mookit Course Page: https://hello.iitk.ac.in/course/cs690a
The links for the lecture videos will be posted in the Mookit page as well.
Course Email:
If you need to email the instructor regarding any class related queries, please prefix the subject with [CS690A], in order for the class filter to pick it up. Any email without the prefix can end up in SPAM.
Evaluation Components:
This is a research-focused course with a major research project that carries the maximum weightage. Apart from that there will be other components that are also part of research. The tentative weightage for different components are given below. Please note that this is a tentative grading scheme (due to uncertainties related to Covid-19 and events beyond Instructor’s control), and weightage might change.
Machine Learning Challenge Assignment (20%) - Teams of 3-4 students and performance of the team will be evaluated based on their position in the leaderboard.
Research Paper Evaluation Report (10%) - Graded individually
Research Paper Presentation (10%) - Graded individually
Final Research Project (50%) - Teams of 3-4 students. See Project for details
Scribing Lectures (10%) - Each lecture, one/two students will be the designated "scribe", taking careful notes during video lectures. The scribe note should be based on the notes taken during lecture and the associated reading materials assigned by the instructor. The scribe note should not have any plagiarism, and should be sent to the instructor for review and posting on the web. Please see Resources for more information.