MATH106
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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
4
Maximum
4
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
American Cultures Requirement
No
Reading and Composition Requirement
None of the Reading and Composition Requirement
Prerequisite
Complete ALL of the following Courses:
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if the following the course(s) have already been completed.
-
Credit Replacement Courses. Upon passing, students can use the following course(s) to replace a deficient grade for this course.
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Formats
Lecture
Term
Fall and Spring
Duration (in weeks)
15
Minimum Hours
3
Maximum Hours
3
Lecture Mode of Instruction
In Person
Outside Work Hours Min
9
Maximum Hours
9