Post Aq9vLinzeDBAtjdVJo by rrmutt@mastodon.social
 (DIR) More posts by rrmutt@mastodon.social
 (DIR) Post #Aq9rnMjgtY14k6Y9qq by futurebird@sauropods.win
       2025-01-17T01:47:09Z
       
       0 likes, 0 repeats
       
       Most of my experience in CS is more abstract and theoretical. Are there any neat simple programming projects that would be fun to do with stats 101 students with basic experience with programming?We've made a Galton Board for example but I'm looking for more ideas.
       
 (DIR) Post #Aq9s7ozTYS4AAFgfUu by burnoutqueen@todon.nl
       2025-01-17T01:50:47Z
       
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       @futurebirdTell your stats kids to make a program that does multi variable regression.
       
 (DIR) Post #Aq9sbjibijmWV73tFA by LibreFaso@hostux.social
       2025-01-17T01:56:12Z
       
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       @futurebird Counting ants and making statistics about their paths ?
       
 (DIR) Post #Aq9t35XEiOQ3yymkz3 by michael_w_busch@mastodon.online
       2025-01-17T02:01:08Z
       
       0 likes, 0 repeats
       
       @futurebird Maybe do some simple simulations of epidemiology or genetic drift?
       
 (DIR) Post #Aq9v5XYNiJj5MrcNEW by futurebird@sauropods.win
       2025-01-17T02:24:01Z
       
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       @stuartyeates We did this already and a linear regression as well. It was pretty amusing.
       
 (DIR) Post #Aq9vLinzeDBAtjdVJo by rrmutt@mastodon.social
       2025-01-17T02:26:51Z
       
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       @futurebird throw uniform random dots in a unit square, see what fraction are inside the unit circle, use that to estimate pi (and see how good your random number generator is :)
       
 (DIR) Post #Aq9vRDhkBznSB6KpQ8 by futurebird@sauropods.win
       2025-01-17T02:27:58Z
       
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       @rrmutt OK that sounds fun!
       
 (DIR) Post #AqAMgvyKaQoOZroKsy by georgramer@mastodon.social
       2025-01-17T07:33:18Z
       
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       @futurebird If your students are able to do multiple linear regression you could have a look at chemometrics dataset https://ucphchemometrics.com/datasets/These typically consist of measurement data (spectra) and one or more properties that can be predicted from those spectra. Like - for coffee beans - the species of coffee.https://github.com/GLambard/Molecules_Dataset_Collection is a collection of molecular formulas and properties of the molecule (e.g. toxicity). RDkit to get molecular descriptors and then MLR is also a neat exercise.
       
 (DIR) Post #AqAtUkGJaxEZGw1CQi by msokolov@fosstodon.org
       2025-01-17T13:40:52Z
       
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       @futurebird how about a streaming histogram that works by accumulating an infinite steam
       
 (DIR) Post #AqCsVXaCVhs8bF3TUG by catselbow@fosstodon.org
       2025-01-18T12:39:13Z
       
       0 likes, 1 repeats
       
       @futurebird * 1d, 2d, or 3d random walks. What's the average distance from the start? * A bunch of rocks (say 10,000) sit on a slope at x=0. Every time it rains, each rock slides by a random amount. How are they distributed after 10 rainstorms?* Fire a cannon with some random variation in muzzle velocity and angles. What's the 2-d distribution of where the cannonballs land?* Project 5 here is a simulation of "yardsale economics":https://catselbow.gitlab.io/practical-computing-for-science-and-engineering/challenges.pdf
       
 (DIR) Post #AqDB3j6nxihVMpkwFs by rudi@mastodon.sdf.org
       2025-01-18T16:06:59Z
       
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       @futurebirdPython is great for simple data transformation! You could find some datasets or have them make their own from data in their own lives, and show them how to run formulas in Python instead of Excel/Spreadsheets