MA 41600, Spring 2026
Probability

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.

Instructor Info

Section	Room	Time		Instructor	Office
001	KNOY B033	10:30AM	TR	Takashi Owada
002	KNOY B033	9:00AM	TR	Heejong Bong
003	LILY G420	3:00PM	TR	Samy Tindel
004	LILY G420	4:30PM	TR	Samy Tindel
005	LILY G401	3:30PM	MWF	Yash Lodha
006	LILY G401	4:30PM	MWF	Yash Lodha
007	BRNG B268	1:30PM	MWF	Christian James Noack
008	SCHM 309	11:30AM	MWF	Jing Wang
009	ET 329	1:30PM	TR	Ernest Forson Aboagye

Course Materials

Section	Type	Title	Author
001	TEXT	A First Course in Probability	Sheldon M. Ross
002	TEXT	A First Course in Probability	SHELDON. ROSS
003, 004, 007, 008	TEXT	A First Course in Probability	Sheldon Ross
005, 006	TEXT	Introduction to Probability - A first course in Probability by Sheldon M. Ross as a supplementary textbook.	Anderson, Seppalainen and Valko

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