Probability theory

Probability theory

Probability theory is a branch of mathematics concerned with probability, which is expressed through a set of axioms and assigned a measure between 0 and 1. It is used to describe the behavior of random events, and is essential for quantitative analysis in many fields. It also applies to complex systems and physical phenomena at atomic scales, as described in quantum mechanics.

3 courses cover this concept

CS 228 - Probabilistic Graphical Models

Stanford University

Winter 2023

An in-depth study of probabilistic graphical models, combining graph and probability theory. Equips students with the skills to design, implement, and apply these models to solve real-world problems. Discusses Bayesian networks, exact and approximate inference methods, etc.

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CSCI 0220 Discrete Structures and Probability

Brown University

Spring 2023

CSCI 0220 provides a foundation in discrete math and probability theory. Key topics include logic, set theory, number theory, combinatorics, graph theory, and probability. No prior math background assumed. Aims to develop problem solving, communication, and collaboration skills. Introduces new concepts and ways of thinking to enable analyzing problems arising in computer science. Beginner-friendly introduction to core mathematical concepts underlying many aspects of CS.

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15-251 Great Ideas in Theoretical Computer Science

Carnegie Mellon University

Fall 2018

The course provides a rigorous introduction to the foundations of computer science, improving abstract thinking skills and preparing students to be innovators in the field. Topics include computation, computational complexity, and real-world applications of computational concepts. Prerequisites imply this is an intermediate-level course.

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