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MA 41600, Spring 2022

Credit Hours: 3.00. (STAT 41600) An introduction to mathematical probability suitable as a preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem. Typically offered Fall Spring.

Instructor Info

Section Room Time Instructor Office
165 UNIV 303 10:30AM MWF Jing Wang MATH 420
166 UNIV 303 11:30AM MWF Jing Wang MATH 420
167 REC 114 3:30PM MWF Haibo Liu
168 REC 114 4:30PM MWF Haibo Liu
170 REC 307 1:30PM MWF Takashi Owada
171 UNIV 217 12:30PM MWF Anirban Dasgupta
172 REC 121 2:30PM MWF Takashi Owada
173 REC 114 2:30PM MWF Anirban Dasgupta

Course Materials

Section Type Title Author
165, 166, 167, 168, 170, 172 TEXT A First Course in Probability Sheldon Ross
167, 168, 170, 172, 173 TEXT First Course in Probability, A Sheldon Ross
171 TEXT Basic Probability Theory Robert B. Ash
171, 173 TEXT An Introduction to Probability Theory and Its Applications, Volume 1 - Second Book required: Basic Probability Theory by Robert B. Ash, Dover Publications, ISBN:9780486466286. A reference text, not required is: Fundamentals of Probability, A First Course by Anirban DasGupta, Springer, ISBN: 9781461425816. Free copies of all 3 books are online. William Feller
171 TEXT Fundamentals of Probability, A First Course Anirban DasGupta
171 TEXT An Introduction to Probabiity Theory and its Applications Volume 1 William Feller

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