MA 41600, Spring 2025
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	LILY G420	10:30AM	MWF	Andrey Glubokov	MATH 840
002	LILY G420	9:30AM	MWF	Andrey Glubokov	MATH 840
003	KNOY B033	3:30PM	MWF	Takashi Owada
004	KNOY B033	4:30PM	MWF	Takashi Owada
005	LILY 3410	3:30PM	MWF	Eric Griffin Samperton
006	LILY 3410	2:30PM	MWF	Eric Griffin Samperton
007	SCHM 121	12:00PM	TR	Nianqiao Ju
008	SCHM 121	10:30AM	TR	Nianqiao Ju

Course Materials

Section	Type	Title	Author
ALL	TEXT	A First Course in Probability - E-Text option is okay. MyLab is not required.	Sheldon Ross
003, 004	TEXT	A First Course in Probability	Sheldon M. Ross
007, 008	TEXT	A First Course in Probability	SHELDON. ROSS

Important Notes

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