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*Comment on the "good" things in the report
 
*Comment on the "good" things in the report
 
*Comment on what could be improved, and how to improve it. (Phrase things nicely. Be diplomatic!)
 
*Comment on what could be improved, and how to improve it. (Phrase things nicely. Be diplomatic!)
 
+
Remember, the point of the project was to investigate when the method (i.e., Bayes Decision Rule for normally distributed features) works and when it does not work.
  
 
=Part 2=
 
=Part 2=
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35 Points: '''Problem definition and statement'''
 
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.
+
Is the problem/question investigated relevant to the project statement? 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'''
 
35 Points: '''Experiments'''

Latest revision as of 14:53, 19 February 2016

Instruction for Peer Review of Mini Project 1, ECE662, Spring 2016

Hard copy of review due in class Friday February 26, 2016. Earlier submissions are welcome!

  • Print two copies of your review: one with your name on, and one without.
  • Staple both copies (anonymous one below) on top of the hard copy of the mini-project. Hand the whole thing back.


Late submissions will be accepted until 5pm Friday February 26 in MSEE330. This is a hard deadline, no exception. If you can't make it to campus that day, hand in early.


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. (Phrase things nicely. Be diplomatic!)

Remember, the point of the project was to investigate when the method (i.e., Bayes Decision Rule for normally distributed features) works and when it does not work.

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 relevant to the project statement? 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 a negative conclusion, such as "this does not work", can still be interesting. (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


PLEASE CHECK FOR PLAGIARISM (e.g., figures copied from a website, cut and paste text, etc.) IF YOU NOTICE ANY PLAGIARISM IN THE REPORT, ASSIGN A GRADE OF ZERO FOR THE ENTIRE REPORT AND NOTIFY THE INSTRUCTOR AS SOON AS POSSIBLE.


Questions/comments

Feel free to write your questions and comments below.

  • Write a question here.
    • Answer here

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