CS486/CS686 Course Project

• Required for graduate students enrolled in CS686 and optional for undergraduate students enrolled in CS486
  
• Pick an application domain that interests you
• Identify a problem in that application domain
• Analyze or develop new (artificial intelligence) techniques to tackle this problem
• Optional: implement and evaluate empirically some of those techniques
• Undergraduate students can form teams of up to 3 people, but graduate students must do the project by themselves
• If you'd like some suggestions, check out the following project ideas (one per page, two per page)

Proposal (no mark)

• Submit electronically on the LEARN website by February 10 (11:59 pm)
• At most one page
  
• Names of team members (for undergraduate students only)
  
• What is the application domain?
• What is the problem you plan to tackle?
• Cite 4-8 papers that you plan to survey concerning this problem.
  
• What (artificial intelligence) techniques do you plan to develop or analyze?

Report (25% of final mark for CS686 and 5% bonus for CS486)

• At most 8 pages
• Explain the big picture and any necessary detail
• Submit electronically on the LEARN website by April 16 (11:59 pm)
  

Suggested Structure for the Report

• Introduction
• What is the application domain?
• What is the problem?
• Techniques to tackle the problem
  
• brief survey of previous work concerning this problem (i.e., the 4-8 papers that you read)
• brief description of any other relevant technique
• Analysis of techniques
• Comparison: advantages/disadvantages, scalability, ease of use, etc.
• Optional: report on your empirical evaluation
• Conclusion:
• What is the best technique?
  
• Can we solve the problem today?
• What future research do you recommend?