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Class number:
2963
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Title: Probability |
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Department: Mathematics |
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Career: Undergraduate |
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Component: Lecture |
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Session: Regular |
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Instructor's Permission Required: No |
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Grading Basis: Regular |
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Units: 1.00 |
| Enrollment limited to 30 |
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Current enrollment: 8 |
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Available seats: 22 |
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Start date: Tuesday, September 8, 2026 |
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End date: Wednesday, December 23, 2026 |
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Mode of Instruction: In Person |
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Schedule: MWF: 11:00AM-11:50AM, MC - 225 |
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Instructor(s): Churchill, Victor |
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Prerequisite(s): Prerequisite: C- or better in Mathematics 132 or 231, or instructor consent. |
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Distribution Requirement: Meets Numerical & Symbolic Reasoning Requirement |
Course Description:
This foundational course provides an introduction to probability theory, covering key concepts and theorems essential for understanding randomness and uncertainty. Topics include discrete and continuous random variables, important densities and distribution functions, joint distributions and covariance, conditional probability and Bayes' theorem, the Law of Large Numbers, and the Central Limit Theorem. Additional topics may be included based on the instructor's focus as time permits. |