Class Project

You are required to do a class project. The class project is composed of the follow.

1. Initial project proposal and presentation
2. Mid-term project report and discussion
3. Final project presentation
4. Final project report

Final presentation schedule

Google Doc for project proposal :

1. Link:GoogleDoc Link
2. Sheet 1 (Group): confirmed groups (write protected )
3. sheet 2 (Not decided): list of students who are not yet part of any project team. Please indicate suitable team number on this sheet corresponding to student names who wish to be part of a team , which TA/Instructor can update to sheet 1.

There are several types of class projects.

• Theoretical in nature. This should include a hypothesis, a model, derivations, etc.
• Experimental in nature. This should include a hypothesis, a model, algorithms, experimental data, results, etc.
• Application in nature. This should be a design, algorithms, GUI, etc.
• Survey. This should be a critical review of papers in a topic related to the course.

The class project can be done with a team of no more than three members from the class. Each must turn in an individual report. Although sections in the report can be done by the team, each member must clearly present his/her work individually.

Your project proposal should contain the following.

• A clear motivation on why you want to solve the problem
• Elaborate the social component in your project
• The significance of the problem that you plan to solve
• The problem definition, i.e., what is the problem
• The planned approach in solving the problem
• The algorithm and data set you plan to use
• The plan to validate your work
• List of a few milestones that you plan to achieve

• Fall 2011 Project List

The final project grade consists of the following.

• Project proposal and presentation (20%)
• Mid-term project report (20%)
• Final project presentation (20%)
• Final project report (40%)

Moreover, your intended course unit credit will also be considered in the grading.

• Deadline: On or before 11:59 pm on Tuesday, November 1, 2011
• Submit the report to irwinking@gmail.com and natarajan@ischool.berkeley.edu
• The report format is as follows.
  • Between 10-15 pages (approximately), no more than 6,000 words.
  • Should contain project title, description, progress, experimental information, problems faced, references, etc.
  • Use of graphics, pictures, tables, etc. is encouraged.

• Deadline: On or before 11:59 pm on Friday, December 16, 2011
• Submit the report to irwinking@gmail.com and natarajan@ischool.berkeley.edu
• The report format is as follows.
  • Minimum of 30 pages (minimum of 12,000 words).
  • Should contain project title, abstract, introduction, related work, description, progress, experimental information, discussions, references, etc.
  • Use of graphics, pictures, tables, etc. is highly encouraged.
  • The assessment of your report will be based on novelty, clarity, and quality.

• Final Project Report
  • Title
  • Name, Email, units
  • Abstract
    • The abstract should encapsulate and summarize what you have done in a concise manner. It should have a short motivation, what is the problem that you are tackling, the outline of the approach taken, and the outcome of the project.
  • Introduction
    • Introduction should provide a background context of the problem that you are tackling.
    • Why is the problem significant? For example, you can provide stats on how involved the problem is.
    • Why is your approach novel? Have you seen other similar solutions? If so, how is your differ from others?
  • Related Work
    • This is a survey of what others have done in recent years.
    • Provide related projects, approaches, research, etc.
  • Problem Definition
    • Define your problem clearly and concisely.
  • Approach
    • What is your approach to solve the problem?
    • Provide schematics, outlines, proofs, model formulations, etc.
    • What did you use from the course? Please reference them explicitly, e.g., use of community detection algorithm, opinion mining, etc.
  • Experiments
    • What data source are you using? Provide stats on the input data.
    • What experiments are you planning to run and why are you running them? Provide an overview of the experiments.
  • Discussion
    • What other items have you learned that wasn't obvious in the beginning?
    • What are some observations that you have on the overall project?
  • Conclusion
  • References
  • Contributions
    • List out who did what in point form.

• Final Report File
• Final Presentation File
• Code written/implemented (with a readme.txt to explain how to run the program, requirements, etc.)
• Datasets used (if any)
• Website(s) (if any)

Please zip them together and if the final zipped file size is less than 4 megs, please send it through the email to natarajan@ischool.berkeley.edu and iking@ischool.berkeley.edu.