MATH106
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MATH 106 - Mathematical Probability Theory
Course Title
Mathematical Probability Theory
Course Description
A rigorous development of the basics of modern probability theory based on a self-contained treatment of measure theory. The topics covered include: probability spaces; random variables; expectation; convergence of random variables and expectations; laws of large numbers; zero-one laws; convergence in distribution and the central limit theorem; Markov chains; random walks; the Poisson process; and discrete-parameter martingales.
Minimum Units
4
Maximum Units
4
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
-
Prerequisites
Mathematics 104
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course after completing the course(s) below.
-
Credit Replacement Courses
-
Formats
Lecture
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours
3
Lecture Hours Min
3
Lecture Hours Max
3
Lecture Mode of Instruction
In Person
Outside Work Hours
9
Outside Work Hours Min
9
Outside Work Hours Max
9