Project milestones (also in the schedule)

Unless otherwise stated, all milestones are due at midnight of the designated date.
(Sep 4) Project groups + web site. Create a public website for the project containing the team members.
(Sep 25) Project proposal (post on the project web site). This includes problem formulation, related work and how the project is different from the related work.
(Sep 26) Flash presentation (due in class). 2 minutes per project in class presentation/advertisement of the proposed project (you can use a slide if you email it to the instructor the previous day)
(Sep 29 - Oct 2) Schedule an appointment with me to discuss your project.
(Oct 10) Evaluation plan (update project website): A planned outline of datasets, what are you going to measure in order to evaluate the project.
(Oct 31) Mid-project report (update project website): draft of your final write-up for the project. Even though some experiments/implementation might be missing. A special section on key risks/unknowns.
(Dec 8) Final project presentation (due in class). Conference-style presentation with Q&A.
7. (Dec 5) Project paper (email to instructor). You are expected to use the ACM format to write your project reports (8 pages maximum, 4 pages minimum, including references; this page limit is strict).

Project paper structure

1. Introduction/Motivation/Problem Definition: What is it that you are trying to solve/achieve and why does it matter?
2. Prior Work: How does your project relate to previous work? Please give a short summary on each paper you cite and include how it is relevant.
3. Model/Algorithm/Method: detailed description of your primary contribution. Clear and well including notation and any analysis of complexity, data structures, etc.
4. Results and findings: How do you evaluate your solution to whatever empirical, algorithmic or theoretical question you have addressed and what do these evaluation methods tell you about your solution? It is not so important how well your method performs but rather how interesting and clever your experiments and analysis are. Strive for a clear and conclusive experiments. Make sure to interpret the results and talk about what can be learned from them.
Note: Good writing, grammar, organization and figures are essential. Regarding writing, make sure you go over The Elements of Style.

Flash Presentations

Slides