Introduces the basic notions of Probability: random variables, expectation, conditioning, and the standard distributions (Binomial, Poisson, Exponential, Normal). This course also covers the Law of Large Numbers and Central Limit Theorem as they apply to statistical questions: sampling from a random distribution, estimation, and hypothesis testing.
Ongoing course
Time: MWF 09:10 AM – 10:00 AM
Location: Zoom
Office hours: To be announced
Grading
Homework: 25% – Weekly homework (you must turn them in)
Midterm I (02/15): 20%
Midterm II (04/14): 25%
Final (to be announced) : 30%
Homework sets
Textbook
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Course notes

Law of Large Numbers and Simulations – MATH 3510
Comments on Law of Large Numbers and simulations

Introduction to the course – MATH 3510
General comments about probability theory and our course!