Principles of Discrete Applied Mathematics
Study of illustrative topics in discrete applied mathematics, including probability theory, information theory, coding theory, secret codes, generating functions, and linear programming. Instruction and practice in written communication provided. Enrollment limited.
Spring 2024
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 {{% resource_link "8d257f11-e2b0-4925-8422-764c0519d33d" "CI-M" %}} (Communication Intensive in the Major) course and thus includes a writing component.
Prerequisites & course information
Prereq: None. Coreq: 18.06 U (Spring) 4-0-11 units Credit cannot also be received for 18.200A
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Spring 2024
- MIT OCW calendar ↗
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.