(New page: =Instruction for Peer Review of HW2, ECE662, Spring 2014= ---- If you go to your own dropbox and click on "my assignments", you should find an anonymous homework waiting to be reviewed...)
 
 
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=Instruction for Peer Review of HW2, [[ECE662]], Spring 2014=
 
=Instruction for Peer Review of HW2, [[ECE662]], Spring 2014=
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Due before class on Tuesday April 29.
 
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If you go to your own dropbox and click on "my assignments", you should find an anonymous homework waiting to be reviewed. There should be a comment box below the homework, as well as a pdf upload button.
 
If you go to your own dropbox and click on "my assignments", you should find an anonymous homework waiting to be reviewed. There should be a comment box below the homework, as well as a pdf upload button.

Latest revision as of 02:30, 23 April 2014

Instruction for Peer Review of HW2, ECE662, Spring 2014

Due before class on Tuesday April 29.


If you go to your own dropbox and click on "my assignments", you should find an anonymous homework waiting to be reviewed. There should be a comment box below the homework, as well as a pdf upload button.

Part 1

Provide detailed comments on the problem addressed, experiments, conclusions, and report.

  • Summarize what was done and how it was done.
  • Comment on the "good" things in the report
  • Comment on what could be improved, and how to improve it. Do pay special attention to the experiments and try to find flaws or ways to improve them. (But please be diplomatic and phrase things nicely.)

You can write your comments directly in the comment box, or upload a pdf.

Recall: the homework is supposed to focus on the problem of classifying data after estimating the density using the techniques we learned in class. In other words, the experiments should not focus on the accuracy of the parameter estimations, or on the accuracy of the density estimation. Furthermore, you were specifically instructed to look for situations where the methods given do not work well. So if all experiments show that everything works well all the time, then the person did not follow the instructions.

Part 2

Assign a grade out of 100 points and write this grade on the top line of the comment box. Your points should be divided as follows.

35 Points: Problem definition and statement

Is the problem/question investigated concerned with a relevant aspect of "classification assuming normally distributed features"? Is the problem/question addressed clearly stated? Is the problem/question investigated interesting and extensive enough. (If the writing is so poor that you have no idea what was done, feel free to take off a large number of points, or even all 35 points.

35 Points: Experiments

Are the experiments relevant to the problem investigated? Are there enough experiments (to investigate the problem and be able to conclude)? Are the axes of all graphs and plots clearly labeled? Do all graphs and plots have a title? (If the writing is so poor that you have no idea what was done, feel free to take off a large number of points, or even all 35 points.)


20 Points: Conclusions

Are the conclusions clearly stated? Are the conclusions supported by the experiments? Are the conclusions interesting? Note that we a negative conclusion, such as "this does not work", can still be interesting. In fact, for this homework, you were specifically instructed to look for situations where the methods given do not work well. So if all conclusions are positive, then the person did not follow the instructions. (If the writing is so poor that you have no idea what was done, feel free to take off a large number of points, or even all 20 points.)


10 points: Presentation


Questions/comments

Feel free to write your questions and comments below.

  • Write a question here.
    • Answer here

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