Understanding Randomness: Intro to Probability 

STEM (Science, Technology, Engineering, Mathematics)

Grades: 9-11

• 6:00 p.m. Eastern Time (New York Time)

What is the chance you have the same birthday as someone else in the room? If it rained yesterday, how likely is it to rain today? Probability gives us the tools to analyze these questions, giving order to seemingly “random” processes. Probability is also the foundation of statistics, which is crucial to research in practically every field. In this course we will build up the basics of probability necessary to begin to understand randomness, through examples and applications ranging from games to data science.  

Mackenzie Simper

PhD(c) at Stanford University

Mackenzie is a PhD candidate at Stanford University studying Applied Probability. Previously she earned her MASt (Master of Advanced Study) at University of Cambridge as a Churchill Scholar and completed her undergraduate degree at the University of Utah. Mackenzie has taught courses at Stanford and been the primary instructor for summer courses in Artificial Intelligence through the Stanford Pre-Collegiate Studies program. She loves probability because it is fun to think about randomness and enjoys sharing excitement about math with her students.  

Program Calendar:
January 11-22, 2021
(Monday – Friday)
Real-Time Classes Duration:
1 hour & 45 minutes long
(with a 15-minute break).
Max Class Group:
Small class size
(20 students max)

Grades 9-11

For grade 9 students all course options are available.





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