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18.200 | Spring 2024 | Undergraduate

# Principles of Discrete Applied Mathematics

#### Course Description

This course will teach you illustrative topics in discrete applied mathematics, including counting, generating functions, probability, linear optimization, algebraic structures, basic number theory, information theory, and coding theory. It is a CI-M (Communication Intensive in the Major) course and thus includes a …
This course will teach you illustrative topics in discrete applied mathematics, including counting, generating functions, probability, linear optimization, algebraic structures, basic number theory, information theory, and coding theory. It is a CI-M (Communication Intensive in the Major) course and thus includes a writing component.

## Course Info

##### Instructors

- Prof. Ankur Moitra
- Prof. Peter Shor
- Susan Ruff

##### Departments

- Mathematics

##### Topics

- Mathematics
  - Applied Mathematics
  - Discrete Mathematics
  - Probability and Statistics
- Social Science
  - Communication

##### Learning Resource Types

theaters Lecture Videos
notes Lecture Notes
assignment Problem Sets
Editable Files
Linear programming and probability theory. (Image by MIT OpenCourseWare.)

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