Final Project Reports

Optimizing Course Allocation for Students — “The Future of SIS” Cameron Lloyd, Michael Chinn, Aditya Kamath, Cathy Chang, David King, Alexander Hyldmar Shanghai License Plate Auction Study Chang Feng, Caroline Zhao, Yijing Wang Code: https://github.com/cf4ff/uvammm-license-auction Cap-and-Trade or Carbon Tax? Isaiah Chan, Zack Reavis, Kavya Ravikanti, Claire Zhu Notebook: https://github.com/xz4nf/MMM-Final-Project/blob/master/Codes.ipynb Simplifying the Search for Housing David Bennett, Ian Hardman, Julia Heinzel, and Andrew Vaaler Code: https://github.com/DavidBennett019/MMMFinalProject Pay the Players Ryan Dailey, Leo Dominguez, Logan King

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Class 29: Project Presentations

Connor Atkins, Maggie Hunter, Jae Jun, Nicole Quinn, TJ Sample How to Beat Your Friends in Poker Cyrus Morshedi, Hunter Rockley, Sharon Liu, Vivian Kim Nowcasting measles outbreaks using Google Trends Ryan Dailey, Leo Dominguez, Logan King Pay the Players Ian Hardman, Julia Heinzel, Andrew Vaaler, and David Bennett Simplifying the Search for Housing Samantha Burr Predicting Location in Atlanta Kaiming Cheng, Junyan Lin DOTA Hero Picking

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Class 28: Information and Crime

Schedule Update

Your Final Project Presentations will be next Tuesday (29 April) in class. See class27 for details and advice on your presentations.

Slides

Download (full resolution) PDF

Class 27: Cryptocurrency

Schedule

Your Final Project Presentations will be next Tuesday (29 April) in class.

Slides


Download (full resolution) PDF

Links

More advice on presentations (a bit dated, but mostly still agreeable)

Some examples of creative project presentations: cs2012 Fall 2017, Earlier examples.

There are lots of sites for examining the blockchain. Most of the graphs I used in the lecture are from https://www.blockchain.com/explorer.

Class 25: Privacy and Incentives

Schedule Update Thursday’s class will be project review meetings. We will meet with each of the teams to discuss feedback on your proposals and progress on the projects. Weather permitting, class will meet at the picnic tables in the Thornton hall courtyard. Please ensure that your team is ready to discuss issues raised in the feedback we’ve sent on your project, explain your progress so far, and any things you think we can help with.

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Class 24: Privacy

Schedule Your Final Project Proposal is due tonight at 8:59pm. Slides Download (full resolution) PDF Links Stanley Warner. Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias, Journal of the American Statistical Association, March 1965. Cynthia Dwork and Aaron Roth. The Algorithmic Foundations of Differential Privacy. NOW Foundations and Trends in Theoretical Computer Science, 2014. Burton H. Bloom. Space/Time Trade-offs in Hash Coding with Allowable Errors, Communications of the ACM, July 1970.

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Class 21: Economics of Information

Slides

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Class 20: Mechanism Design

Slides

Download (full resolution) PDF (slides continued from Class 19).

Final Auction Results

Here are the final auction results: .tg {border-collapse:collapse;border-spacing:0;border-color:#ccc;} .tg td{font-family:Arial, sans-serif;font-size:14px;padding:10px 5px;border-style:solid;border-width:0px;overflow:hidden;word-break:normal;border-color:#ccc;color:#333;background-color:#fff;} .tg th{font-family:Arial, sans-serif;font-size:14px;font-weight:normal;padding:10px 5px;border-style:solid;border-width:0px;overflow:hidden;word-break:normal;border-color:#ccc;color:#333;background-color:#f0f0f0;} .tg .tg-baqh{text-align:center;vertical-align:top} .tg .tg-w8l0{font-weight:bold;background-color:#fffc9e;text-align:center;vertical-align:top} .tg .tg-dzk6{background-color:#f9f9f9;text-align:center;vertical-align:top} Team Clicks Bids Submitted Budget Unspent 4507 53 3274 $0.42 4501 48 3380 $0.68 4509 45 3094 $222.04 4504 41 3362 $0.06 4506 37 1986 $0.94 4502 37 3487 $0.63 4505 26 631 $2,965.

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Final Project: Your Choice

For the Final Project, it is up to you to decide what to do, consistent with the course goals. Teams You may work in a team of from 1 to 38 students, but we expect most teams to be 2-4 students. If you want to work alone, you will need to make a convincing case why you will get more from the project by working alone than by working with others.

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