Probability Theory

3 credits · Undergraduate

(3 hrs Lecture) This course is a continuation of Mathematical Statistics I (STAT-3611 (formerly STAT-3201 or Applied Probability STAT-2701)) and is intended to give students a firm foundation in probability theory. Topics include random walks, characteristic functions and central limit theorem concepts of convergence, laws of large numbers, and martingales and stochastic differential equations. Requisite Courses: STAT-2612 or MATH-2612 (or the former STAT-3611/MATH-3611) or permission of the instructor [prerequisite(s)].