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| − | + | "Student Projects" ''' | |
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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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| − | =Top | + | ---- |
| + | =Top Rated= | ||
| + | *[[Team1_MA279_fall2013|The plurality vote: must it lead to a 2-party system?]] | ||
| + | *[[Walther_MA279_fall2013_team13|Presidents and others that have been elected against majority]] | ||
| + | *[[Walther_Math_279Fall13_Team8|The 2000 election and what it should teach us]] | ||
| + | *[[MotionTracking438|Object Tracking using MATLAB]] | ||
*[[Coding_for_Android_on_Windows|Coding for Android on Windows]] | *[[Coding_for_Android_on_Windows|Coding for Android on Windows]] | ||
| + | *[[Student_summary_Filtering|A summary of filtering]] | ||
*[[HW8_-_Zachary_Curosh:_Impulse-train_Sampling_ECE301Fall2008mboutin|A summary of impulse-train sampling]] | *[[HW8_-_Zachary_Curosh:_Impulse-train_Sampling_ECE301Fall2008mboutin|A summary of impulse-train sampling]] | ||
| + | *[[Student_summary_spectral_analysis_2D_signalsb|Spectral analysis of 2D signals]] | ||
| + | *[[Audio_Signal_Filtering|Audio Signal Filtering]] | ||
| + | *[[ECE_301_Fall_2007_mboutin_Animated_Aliasing_Example|Animated Aliasing Example]] | ||
| + | *[[HW1.1_Allen_Humphreys_ECE301Fall2008mboutin|How to play "Hail Purdue" with MATLAB (code included)]] | ||
| + | *[[Explaining_a_Clay_problem_MA375S12Walther|Explaining a clay problem]] | ||
| + | *[[Determinant_Transpose_Proof|Determinant Transpose proof]] | ||
| + | *[[InverseZtransform|Summary of inverse z-transform, with examples]] | ||
| + | *More [[:Category:bonus point project|here]] and [[:Category:project|here]]. | ||
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| − | =Honors Projects | + | =Honors Projects = |
*[[Honors_Project|MA265 Honors Project by Daniel Lee]] | *[[Honors_Project|MA265 Honors Project by Daniel Lee]] | ||
**[[Introduction]] | **[[Introduction]] | ||
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**[[Discriminant Functions For The Normal(Gaussian) Density|Discriminant Functions For The Normal(Gaussian) Density - Part 1]] | **[[Discriminant Functions For The Normal(Gaussian) Density|Discriminant Functions For The Normal(Gaussian) Density - Part 1]] | ||
**[[Discriminant Functions For The Normal(Gaussian) Density - Part 2]] | **[[Discriminant Functions For The Normal(Gaussian) Density - Part 2]] | ||
| + | *[[HonorsContractECE438Fall14| ECE438 Honors Project by Sahil Sanghani]] | ||
| + | **[[ECE438HonorsContractCT|Computed Tomography (CT)]] | ||
| + | **[[HonorsContractECE438CoordinateAndRadon|Coordinate Rotation and the Radon Transform]] | ||
| + | **[[ECE438HonorsContractFST|Fourier Slice Theorem (FST)]] | ||
| + | ** [[HonorsContractECE438CBP|Convolution Back Projection (CBP)]] | ||
| + | **[[ECE438HonorsContractMRI|Magnetic Resonance Imaging]] | ||
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| − | + | [https://www.projectrhea.org/learning/index.php Back to Project Rhea Home] | |
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Latest revision as of 18:10, 23 February 2015
"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
- Summary of inverse z-transform, with examples
- 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
- ECE438 Honors Project by Sahil Sanghani
