Probability for Scientists is a hands-on, interdisciplinary introduction to probability theory that emphasizes big-picture thinking. Problems are introduced via in-class exploration of physical objects such as coins, dice, and cards. Learn what randomness really looks like, how to read a histogram, and why the normal distribution is so common.
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Probability for Scientists | probforsci.blogspot.com Reviews
https://probforsci.blogspot.com
Probability for Scientists is a hands-on, interdisciplinary introduction to probability theory that emphasizes big-picture thinking. Problems are introduced via in-class exploration of physical objects such as coins, dice, and cards. Learn what randomness really looks like, how to read a histogram, and why the normal distribution is so common.
probforsci.blogspot.com
Probability for Scientists: Week 13: Working with Rstudio and Data
http://probforsci.blogspot.com/2013/11/week-13-working-with-rstudio-and-data.html
Probability for Scientists is a hands-on, interdisciplinary introduction to probability theory that emphasizes big-picture thinking. Problems are introduced via in-class exploration of physical objects such as coins, dice, and cards. Learn what randomness really looks like, how to read a histogram, and why the normal distribution is so common. Week 13: Working with Rstudio and Data. For class this Thursday, each group should have a laptop with Rstudio installed, and a dataset that's ready to be imported.
Probability for Scientists: The Monty Hall Problem
http://probforsci.blogspot.com/2013/11/the-monty-hall-problem.html
Probability for Scientists is a hands-on, interdisciplinary introduction to probability theory that emphasizes big-picture thinking. Problems are introduced via in-class exploration of physical objects such as coins, dice, and cards. Learn what randomness really looks like, how to read a histogram, and why the normal distribution is so common. The Monty Hall Problem. Provides a concise explanation of the set-up and the math. Finally, there's a New York Times interview with Monty Hall himself here.
Probability for Scientists: Instructors
http://probforsci.blogspot.com/p/instructors.html
Probability for Scientists is a hands-on, interdisciplinary introduction to probability theory that emphasizes big-picture thinking. Problems are introduced via in-class exploration of physical objects such as coins, dice, and cards. Learn what randomness really looks like, how to read a histogram, and why the normal distribution is so common. Christian Gunning, Ph.D. Candidate, Department of Biology. I study the disease ecology of childhood diseases such as measles and whooping cough in the Wearing Lab.
Probability for Scientists: Final Project Details
http://probforsci.blogspot.com/2013/11/final-project-details.html
Probability for Scientists is a hands-on, interdisciplinary introduction to probability theory that emphasizes big-picture thinking. Problems are introduced via in-class exploration of physical objects such as coins, dice, and cards. Learn what randomness really looks like, how to read a histogram, and why the normal distribution is so common. The final poster session will be on Thursday, the 5th of December. Feel free to invite friends/family to this class. About poster design. It includes several t...
Probability for Scientists: July 2013
http://probforsci.blogspot.com/2013_07_01_archive.html
Probability for Scientists is a hands-on, interdisciplinary introduction to probability theory that emphasizes big-picture thinking. Problems are introduced via in-class exploration of physical objects such as coins, dice, and cards. Learn what randomness really looks like, how to read a histogram, and why the normal distribution is so common. Probability for Scientists Bio 409 / Stat 479 Tu Thu 12:30-1:45 pm. Subscribe to: Posts (Atom). Probability for Scientists Bio 409 / Stat 479 Tu T.
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Life in Code: Tools for Online Teaching
http://helmingstay.blogspot.com/2014/05/tools-for-online-teaching.html
Work-products and stray thoughts from the Land of Entrapment. Tools for Online Teaching. Last semester (Fall 2014), I organized and taught an interdisciplinary, collaborative class titled Probability for Scientists. All four instructors need the ability to collaboratively edit and then publish public-facing material with students (like the syllabus), as edit private course material, like grades. Dropbox makes a natural choice for private material, whereas a collaborative source repository like GitHub...
Life in Code: 2014.05
http://helmingstay.blogspot.com/2014_05_01_archive.html
Work-products and stray thoughts from the Land of Entrapment. Tools for Online Teaching. Last semester (Fall 2014), I organized and taught an interdisciplinary, collaborative class titled Probability for Scientists. All four instructors need the ability to collaboratively edit and then publish public-facing material with students (like the syllabus), as edit private course material, like grades. Dropbox makes a natural choice for private material, whereas a collaborative source repository like GitHub...
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Probability for Scientists
Probability for Scientists is a hands-on, interdisciplinary introduction to probability theory that emphasizes big-picture thinking. Problems are introduced via in-class exploration of physical objects such as coins, dice, and cards. Learn what randomness really looks like, how to read a histogram, and why the normal distribution is so common. The final survey is available here. You have a week to complete it. Due to low interest, Drew will *not* be available this Thurs 12 Dec. Your report should be betw...
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