Course Project

Important Dates

Proposal Submission: 23 April
First Meeting: 11 May
Second Meeting: 21 May
Poster Session: 30 May
Final Submission: After Final Exam

Media Coverage of Event

Event Invitation Card

invitation letter

Project Guidelines

A major component of this course consists of an in-depth project on a topic of your choosing. These projects will be done in groups of 2 to 3 students. The project will have several graded components, including

  • a detailed (written) project proposal
  • a presentation
  • a written report
  • One paragraph summarizing your work with what was your problem, what techniques you have used to solve it and your results. This paragraph will appear on website as face of your project.

The project proposal is tentatively scheduled to be due on April 23. The presentations will be in the format of a poster session, tentatively scheduled on May 30. The written report will be due at the end of the finals period.

The topic for the project is up to you – you may choose to center your project around a particular problem/dataset that you have encountered in your research or elsewhere online, you could do a more theoretical investigation of some aspect related to machine learning, or you might instead choose to do a more in-depth investigation of some area of machine learning not covered in this course. You can also choose a project from the list given at the end of this page. Please feel free to consult early and often with Dr. Ali and the TA regarding the choice of the project topic.

Grading

Total Marks: 40
Percentage of Total Course: 40%
Extra Credits:

  • Good demo on poster presentation 5% (Apart from 40%)
  • Well documented code

Project Components

Read these links to learn about the requirements of other components.
Project Proposal
Poster and Presentation
Final Report
Guidance for Project