ST371 - Introduction to Probability and Distribution Theory
- Prerequisites: MA 241 (Calc II); also should have taken or be taking MA 242 (Calc III).
- Term & Frequency: Every Fall, Spring, and Summer I
- Student Audience: Freshman or higher students in the physical sciences, computer science, and engineering. ST 371/372 can be used for one track in the undergrad statistics minor.
- Credit: 3 credits
- Recent Texts: Probability and Statistics for Engineering and the Sciences, by Devore
- Recent Instructors: Herle McGowan, Jessie Jeng, Daowen Zhang
- Background and Goals: This course is the first semester of a two-course sequence, ST371-2, covering probability and statistics. The objective of this course, ST371, is to develop a calculus-level understanding and working knowledge of basic probability. Concepts, methods and applications are emphasized, rather than theory. Successful completion of this course will prepare you for ST372 and provide you with a foundation for understanding probability-based material presented in other courses.
- Content: Basic probability, conditional probability, independence, discrete probability distributions, continuous probability distributions, sampling distributions and the central limit theorem
- Alternatives: ST 370
- Subsequent Courses: St372
S1 2017 Sections:
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