CS 8803 DMM: Data Management and Machine Learning (Fall 2019)

Project

The main component of the course will be an original research project. Students will organize into groups and choose to implement a project that is (1) relevant to the topics discussed in class, (2) innovative with ideas not tested before, and (3) unique (i.e., two groups may not choose the same project topic). The projects will vary in both scope and topic, but they must satisfy this criteria. Strong projects can eventually lead to a conference paper.

Each project is comprised of 5 deliverables due at different times:

• Project Proposal/Progress Writeup
• Project Proposal/Progress Presentation
• Project Final Report Writeup
• Project Final Codebase
• Project Final Presentation
  

Collaborations:

You are to form project groups of two or three people per project. The technical contribution of 3 people project is expected to be greater. This will be reflected when grading the final project report. The Canvas discussion board can be used as a place to form project groups.

Project Ideas:

You can come up with you own project idea that satisfies the above three criteria, or choose one project from the list of example projects the instructor provides. You need to schedule at least one appointment with the instructor to determine your project before writing your proposal. Note that the title of any email related to the course needs to starts with "CS 8803 DMM"

Submission Guidelines: Project Proposal Writeup

• The proposal must be emailed to the Instructor and the TA by 6pm EST on Oct 15
• The title of the email must be "CS 8803 DMM Proposal {GT User ID1, GT User ID2(, GT User ID3)} {Title of Proposal}"
• The proposal should be in a PDF attachment

Submission Guidelines: Project Final Report Writeup and Codebase

• The proposal must be emailed to the Instructor and the TA by 6pm EST on Dec 10 (subject to change)
• The title of the email must be "CS 8803 DMM Report {GT User ID1, GT User ID2(, GT User ID3)} {Title of Report}"
• The report should be in a PDF attachment

Grading (50% of total score):

• Project Proposal Writeup: 10%
  
• Project Proposal/Progress Presentation: 10%
  
• Project Final Report: 15%
  
• Project Final Codebase: 5%
  
• Project Presentation: 10%
  

Grading: Project Proposal

The proposal will be evaluated on a 100-points scale

• Problem Motivation and Definition: 30 points
• Related Previous Work: 30 points
  
• Intended Direction of Research: 20 points
  
• Evaluation Plan: 20 points

 

Grading: Project Final Report

The final report will be evaluated on a 100-points scale

• Technical Contribution: 50 points
• Experimental Evaluation: 30 points
  
• Writing Clarity: 20 points

Grading: Project Presentation

The final report will be evaluated on a 100-points scale

• Clarity: 80 points
  
• Organization: 20 points