## Course Projects
**Project Proposal:**A project proposal in the form of a web page. This page should be kept up to date as the project proceeds. See here for a template. The page should list the following:- Project title
- List of Students
- List of Student's email addresses
- A paragraph describing the problem to be addressed
- A bibliography of 3-5 important related papers.
**Initial Paper Draft and Presentation:**An initial draft of the paper in the form of a LaTeX document that uses the provided template. It should include an abstract, pictures and diagrams where appropriate, and proper bibliography. I will carefully review and provide feedback on this draft. The text of this draft should, in 6-8 pages, describe the following:- the problem tackled,
- why the problem is important, (i.e. the motivation),
- the expected contribution of the research,
- a summary/synthesis of the relevant literature,
- a description of the proposed approach, and
- if appropriate, a description of the benchmarking performed and a careful analysis of the results.
The associated presentation should cover the same material. **Conference Submission (OPTIONAL)****:**A near final draft of the paper in the form of a LaTeX document that uses the provided template submitted at least 1 week before the last day of the term. This is your chance to get feedback and the benefit of doing a second draft! . This version should, in 10-15 pages, describe the following:- the problem tackled,
- why the problem is important, (i.e. the motivation),
- the contribution of the research,
- a summary/synthesis of the relevant literature,
- a description of the research contribution
- if appropriate, a description of the benchmarking performed and a careful analysis of the results.
- a conclusion
**Conference presentation**: A short style presentation of your work lasting 25 minutes with 5 additional minutes for questions.**Final paper:**A final paper describing your research in the form of a 10-15 page "conference style" paper. This final version should reflect where possible the previous comments. The paper may also contain a set of appendices of arbitrary length that will be read at the instructors discretion. In these appendices you may include code, test data, and any other supporting material.
- Is the topic interesting scientifically?
- Is it well motivated? Is it clear why we should care?
- Is the expected contribution well described?
- Is the problem addressed well described?
- Has the project team surveyed, summarized, synthesized, and understood the relevant literature?
- Is the project team's approach to solving the problem sound, interesting, creative, and well focused?
- Was the "experiment" well executed or the algorithm well designed?
- Did the group ask the right questions about the results? How complete and interesting is the analysis? How good are the conclusions?
- How well did the group describe their work?
- How professional is the final paper?
Note that no where in this list of question was the actual result mentioned! Your final mark on the project will be based on your final paper, your presentation, and your review of approximately three other papers.
- Be more precise
- Don't make such statements without backing it up with references to the literature
- Too fast. This is the introduction - expand this description
- Explain why you are doing this. What do you hope to find out? How will you know if you have succeeded?
- Why should this problem be parallelized?
- What is the expected contribution of this research?
- What are your aims?
- What will you evaluate?
- What is your target architecture?
- At the end of the intro it is important to describe to the reader the structure of the rest of the paper.
- A literature review is a synthesis of related work not just a list!
- Group related work together!
- What is the contribution of paper [ref]?
- Use a proper algorithm style
- Carefully describe the computational model you are using.
- How is this work different from the work in [ref]?
- What is new in this algorithm?
- Be careful to describe both the input and output of each algorithm
- Be careful to spell out clearly any assumption/restriction that you assume. Motivate why these assumptions/restrictions are reasonable.
- Define all terms and variables before you use them.
- You need to develop a consistent notation
- Is your algorithm correct?
- What is the complexity of your algorithm?
- The experimental setup must be described in enough detail that someone else could replicate your experiments.
- You must always explain such super linear results!
- Explain why the curve has that shape!
- Is this Speedup or Relative Speedup?
- Label the axis carefully! What units is time in?
- How was time measured?
- Always put time on the y-axis.
- A graph that can't be read is worth nothing!
- How does the nature of the input data effect your program?
- What are reasonable test sets?
- What is the question that this test is trying to answer?
- Think carefully about the flow and structure of your paper!
- Don't use colloquial English. Be more formal in your writing.
- When you write "In Figure xx" or "Section yy", Figure and Section (and all other proper names) must be capitalized.
- Use a spell checker!
- Be careful not to plagiarize even a single sentence.
- Please proof read your documents carefully before handing them in.
- Before each algorithm it is important to first informally sketch the main idea.
- ``This is how to do double quotes in LaTex''
- Why is all this blank space here?
- When you write "Let $N$ be the number of items..." always put such variables in $ $.
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