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