MATH0310A-S25
Probability
Probability
An introduction to the concepts of probability and their applications, covering both discrete and continuous random variables. Probability spaces, elementary combinatorial analysis, densities and distributions, conditional probabilities, independence, expectation, variance, weak law of large numbers, central limit theorem, and numerous applications. (concurrent or prior MATH 0223 or by waiver) 3 hrs. lect./disc.
An introduction to the concepts of probability and their applications, covering both discrete and continuous random variables. Probability spaces, elementary combinatorial analysis, densities and distributions, conditional probabilities, independence, expectation, variance, weak law of large numbers, central limit theorem, and numerous applications. (concurrent or prior MATH 0223 or by waiver) 3 hrs. lect./disc.
- Term:
- Spring 2025
- Location:
- Warner Hall 105(WNS 105)
- Schedule:
- 8:40am-9:30am on Monday, Wednesday, Friday (Feb 10, 2025 to May 12, 2025)
- Type:
- Lecture
- Course Modality:
- In-Person
- Instructors:
- Becky Tang
- Subject:
- Mathematics
- Department:
- Mathematics & Statistics
- Division:
- Natural Sciences
- Requirements Fulfilled:
- DED
- Levels:
- Undergraduate
- Cross-Listed As:
- STAT0310A-S25
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 22069
- Subject Code:
- MATH
- Course Number:
- 0310
- Section Identifier:
- A