Wikipedia:Wiki Ed/Cornell University/Probability, Statistics, and Data Analysis for the Physical Sciences (Fall 2021)

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Course name
Probability, Statistics, and Data Analysis for the Physical Sciences
Institution
Cornell University
Instructor
Julia Dshemuchadse
Wikipedia Expert
Ian (Wiki Ed)
Subject
Engineering
Course dates
2021-08-27 00:00:00 UTC – 2021-12-25 23:59:59 UTC
Approximate number of student editors
35


The course will review the fundamentals of probability and statistics, common probability distribution functions, data analysis and model parameter estimation, including characterization of sources of error and uncertainty, least-squares fitting, parameter correlation, as well as formal design of experiments methodology. Students will evaluate Wikipedia articles relevant to the course content, choose topics and edit Wikipedia pages, and then peer-review each other's work.

Student Assigned Reviewing
Mumtaziah Moment (mathematics) Statistical hypothesis testing, Maxwell–Boltzmann statistics, Bernoulli process
J47211 Bhatia–Davis inequality Pot odds, Entropy (information theory), Hybrid stochastic simulation
Yibeiiiii St. Petersburg paradox Bias (statistics), Independent and identically distributed random variables, Nonlinear expectation
Ziyanggod Estimator Binomial distribution, Interquartile range, Point estimation
Yungam99 Lottery (probability) Estimator, Computational statistics, Bhatia–Davis inequality
Jx2022 Box plot Lottery (probability), Sample space, Empirical distribution function
Hanshenli Independent and identically distributed random variables Box plot, Symmetric probability distribution, Alternative hypothesis
BadEnding Sample space Confidence interval, Moment (mathematics), Three Prisoners problem
EyeOfTheUniverse Hybrid stochastic simulation Conditional probability, St. Petersburg paradox, Maximum likelihood estimation
Ajp256 Three Prisoners problem Statistical hypothesis testing, Maxwell–Boltzmann statistics, Bernoulli process
Happyboi2489 Statistical hypothesis testing Pot odds, Entropy (information theory), Hybrid stochastic simulation
C.Hua Wang Bias (statistics) Independent and identically distributed random variables, Binomial distribution, Nonlinear expectation
GeorgePan1012 Bernoulli process, Empirical likelihood Bias (statistics), Interquartile range, Estimator
BasilNotCilantro Nonlinear expectation Point estimation, Computational statistics, Lottery (probability)
Philipphaku Confidence interval Bhatia–Davis inequality, Sample space, Empirical distribution function
0.25cm Bootstrapping (statistics), Maxwell–Boltzmann statistics Box plot, Symmetric probability distribution, Alternative hypothesis
Ruby00269 Point estimation Confidence interval, Moment (mathematics), Three Prisoners problem
5740 Grant L Conditional probability St. Petersburg paradox, Maximum likelihood estimation, Statistical hypothesis testing
Leolsz Alternative hypothesis Conditional probability, Maxwell–Boltzmann statistics, Bernoulli process
Pinkfrog22 Interquartile range Pot odds, Entropy (information theory), Hybrid stochastic simulation
Mytpotato
Joannetsai Computational statistics Bias (statistics), Independent and identically distributed random variables, Nonlinear expectation
Jiang1725 Boole's inequality, Maximum likelihood estimation Binomial distribution, Interquartile range, Estimator
Editor794 Pot odds Point estimation, Computational statistics, Lottery (probability)
Joycecs Entropy (information theory) Bhatia–Davis inequality, Sample space, Empirical distribution function
Shg7D1 Empirical distribution function, Supervised learning Box plot, Symmetric probability distribution, Alternative hypothesis
Gs5730 Symmetric probability distribution Confidence interval, Moment (mathematics), Three Prisoners problem
ViaGraceTR Bates distribution
Jimyzhu Heavy-tailed distribution Conditional probability, St. Petersburg paradox, Maximum likelihood estimation

Timeline

Week 1

Course meetings
Tuesday, 31 August 2021   |   Thursday, 2 September 2021
In class - Introduction to the Wikipedia assignment

Welcome to your Wikipedia assignment's course timeline. This page guides you through the steps you'll need to complete for your Wikipedia assignment, with links to training modules and your classmates' work spaces.

Your course has been assigned a Wikipedia Expert. You can reach them through the Get Help button at the top of this page.

Resources:

Assignment - Get started on Wikipedia

Create an account and join this course page, using the enrollment link your instructor sent you. (Because of Wikipedia's technical restraints, you may receive a message that you cannot create an account. To resolve this, please try again off campus or the next day.)

Milestones

This week, everyone should have a Wikipedia account.

Week 2

Course meetings
Tuesday, 7 September 2021   |   Thursday, 9 September 2021
Assignment - Evaluate Wikipedia
In class - Discussion

Week 3

Course meetings
Tuesday, 14 September 2021   |   Thursday, 16 September 2021
Assignment - Choose possible topics

Resource: Editing Wikipedia, page 6

Week 4

Course meetings
Tuesday, 21 September 2021   |   Thursday, 23 September 2021
Assignment - Exercise
Assignment - Exercise

Week 5

Course meetings
Tuesday, 28 September 2021   |   Thursday, 30 September 2021
Assignment - Add to an article
Assignment - Choose more topics

Week 6

Course meetings
Tuesday, 5 October 2021   |   Thursday, 7 October 2021
Assignment - Start drafting your contributions

Reach out to your Wikipedia Expert if you have questions using the Get Help button at the top of this page.

Resource: Editing Wikipedia, pages 7–9

Milestones

Everyone has begun writing their article drafts.

Week 7

Course meetings
Thursday, 14 October 2021
Guide(s) for writing articles in your topic area

Chemistry

Environmental Sciences

Science Communication

Week 8

Course meetings
Tuesday, 19 October 2021   |   Thursday, 21 October 2021
Assignment - Add to another article

Week 9

Course meetings
Tuesday, 26 October 2021   |   Thursday, 28 October 2021
Assignment - Figures on Wikipedia

Week 10

Course meetings
Tuesday, 2 November 2021   |   Thursday, 4 November 2021
Assignment - Begin moving your work to Wikipedia

Now that you've improved your draft based on others' feedback, it's time to move your work live - to the "mainspace."

Resource: Editing Wikipedia, page 13

Week 11

Course meetings
Tuesday, 9 November 2021   |   Thursday, 11 November 2021
Assignment - Peer review three articles

Guiding framework

In class - Discussion

Week 12

Course meetings
Tuesday, 16 November 2021   |   Thursday, 18 November 2021
Milestones

Every student has finished reviewing their assigned articles, making sure that every article has been reviewed.

In class - Discussion

Week 13

Course meetings
Tuesday, 23 November 2021
Assignment - Respond to your peer review

You probably have some feedback from other students and possibly other Wikipedians. Consider their suggestions, decide whether it makes your work more accurate and complete, and edit your draft to make those changes.

Resources:

  • Editing Wikipedia, pages 12 and 14
  • Reach out to your Wikipedia Expert if you have any questions.

Week 14

Course meetings
Tuesday, 30 November 2021   |   Thursday, 2 December 2021
Assignment - Continue improving your article

Now's the time to revisit your text and refine your work. You may do more research and find missing information; rewrite the lead section to represent all major points; reorganize the text to communicate the information better; or add images and other media.

Week 15

Course meetings
Tuesday, 7 December 2021
Assignment - Polish your work

Continue to expand and improve your work, and format your article to match Wikipedia's tone and standards. Remember to contact your Wikipedia Expert at any time if you need further help!

Week 16

Assignment - Final article

It's the final week to develop your article.

  • Read Editing Wikipedia page 15 to review a final check-list before completing your assignment.
  • Don't forget that you can ask for help from your Wikipedia Expert at any time!
Milestones

Everyone should have finished all of the work they'll do on Wikipedia, and be ready for grading.