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Probability: Concepts and Applications
MIT 1 .010A

Course Information

Description

Introduces probability with an emphasis on probabilistic systems analysis. Readings about conceptual and mathematical background are given in advanced of each class. Classes revise background and are centered on developing problem-solving skills. The course is exam-based and focused on the analysis of probabilistic outcomes, estimating what can happen under uncertain environments. Topics include random events and their probability, combinatorial analysis, conditional analysis, random vectors, functions of random vectors, propagation of uncertainty, and prediction analysis.

Class Notes

See MIT Schedule for times and locations; 

Faculty: Serguei Saavedra; 

Prereq: Calculus II (GIR); 

Subject Level: Undergraduate

School Non-Harvard
Units 6
Cross Reg

Available for Harvard Cross Registration

Course Component Regular Course
Grading Basis MIT Optional (LG/AUD)