UCSBPlat 2.0 Beta Preview: course syllabus, automated class registration, and more Be the first to see

Discrete probability models. Review of discrete and continuous probability. Conditional expectations. Simulation techniques for random variables. Discrete time stochastic processes: random walks and Markov chains with applications to Monte Carlo simulation and mathematical finance. Introduction to Poisson process.

Prerequisites: Mathematics 4A or 4AI or 5A, Mathematics 8 or PSTAT 8, and PSTAT 120A. A minimum letter grade of C or better must be earned in each course.

4

Units

Optional

Grading

1, 2, 3

Passtime

None

Level Limit

Letters and science

College
Unlocks PSTAT 170 PSTAT 176 PSTAT 276
T B A
No info found
HSSB 1214
T R
09:30 AM - 10:20 AM
0 / 20

HSSB 1214
T R
11:00 AM - 11:50 AM
0 / 20

See All
Winter 2024 . Zhu Zimu
PSYCH1902
M W
17:00 PM - 18:15 PM
Winter 2024 . Tan Ying
HSSB 1173
M W
08:00 AM - 09:15 AM
See All
PSTAT 160A Ichiba T Fall 2025 Total: 98
PSTAT 160A Palaniappan V Fall 2025 Total: 76
PSTAT 130
0 / 50 Enrolled
SAS Base Programming
Julie Swenson 4.3
M T W R
10:00 AM - 11:50 AM
PSTAT 140
0 / 50 Enrolled
Statistical Process Control
Dawn Holmes 3.2
M T W R
14:00 PM - 15:50 PM
PSTAT 160B
0 / 40 Enrolled
Applied Stochastic Processes
V. PALANIAPPAN 3.0
M T W R
08:00 AM - 09:05 AM
PSTAT 171
0 / 75 Enrolled
Mathematics of Fixed Income Markets
Ian Duncan 3.0
M T W R
09:30 AM - 10:35 AM
PSTATW 182T
0 / 25 Enrolled
Tutorial in Actuarial Statistics
Karen GRIGORIAN 2.9
M W
17:00 PM - 18:05 PM
PSTAT 188
0 / 25 Enrolled
Transfer Exploration Seminar: Statistics and Data Science
Michael Ludkovski 3.0 Uma Ravat 2.4
T R
14:00 PM - 15:05 PM