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| + | Some students do it as part of a class, some students do it for [[Bonus_point_projects_how_to_and_why|bonus points]], some students do it as part of an honors contract, some students do it just for fun... Anyway, here are a few samples of the great stuff that Purdue students recently shared on [https://www.projectrhea.org/learning/index.php Project Rhea]. | ||
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*[[Explaining_a_Clay_problem_MA375S12Walther|Explaining a clay problem]] | *[[Explaining_a_Clay_problem_MA375S12Walther|Explaining a clay problem]] | ||
*[[Determinant_Transpose_Proof|Determinant Transpose proof]] | *[[Determinant_Transpose_Proof|Determinant Transpose proof]] | ||
| + | *More [[:Category:bonus point project|here]] and [[:Category:project|here]]. | ||
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=Honors Projects = | =Honors Projects = | ||
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**[[Discriminant Functions For The Normal(Gaussian) Density - Part 2]] | **[[Discriminant Functions For The Normal(Gaussian) Density - Part 2]] | ||
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| − | + | [https://www.projectrhea.org/learning/index.php Back to Project Rhea Home] | |
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Revision as of 10:50, 26 February 2014
"Student Projects"
Some students do it as part of a class, some students do it for bonus points, some students do it as part of an honors contract, some students do it just for fun... Anyway, here are a few samples of the great stuff that Purdue students recently shared on Project Rhea.
Top Rated
- The plurality vote: must it lead to a 2-party system?
- Presidents and others that have been elected against majority
- The 2000 election and what it should teach us
- Object Tracking using MATLAB
- Coding for Android on Windows
- A summary of filtering
- A summary of impulse-train sampling
- Spectral analysis of 2D signals
- Audio Signal Filtering
- Animated Aliasing Example
- How to play "Hail Purdue" with MATLAB (code included)
- Explaining a clay problem
- Determinant Transpose proof
- More here and here.
Honors Projects
- MA265 Honors Project by Daniel Lee
- ECE302 Honors Project by Tosin
- Introduction To Pattern Recognition and Classification
- Bayesian Decision Theory
- Bayesian Decision Theory-Continuous and Discrete Features
- Illustration of The Bayesian Decision Theory
- Discriminant Functions For The Normal(Gaussian) Density - Part 1
- Discriminant Functions For The Normal(Gaussian) Density - Part 2
