Probabilistic Analysis

Probability theory is essential to many human activities that involve the quantitative analysis of large sets of data. This fast-paced course provides an understanding of uncertain phenomena using probability theory.

Develop conceptual and intuitive insights into probabilistic reasoning and the ability to understand and solve real world problems. Learn the concepts and tools for the analysis of problems under uncertainty, focusing on model building and communication including the structuring, processing, and presentation of probabilistic information. Use spreadsheets to illustrate and solve problems to complement analytical closed-form solutions.

Topics Include

  • Axioms of probability
  • Probability trees
  • Random variables
  • Distributions
  • Conditioning
  • Expectation
  • Change of variables
  • Limit theorems

Course Page
Price
$4,368.00 - $5,824.00 Subject to change
Delivery
Online, instructor-led
Level
Introductory
Commitment
10 weeks, 9-15 hrs/week
Credit
Decision Analysis Graduate Certificate Management Science and Engineering Graduate Certificate Financial Analytics Graduate Certificate
School
Stanford School of Engineering
Language
English