MATH 4426 Probability
This course provides a general introduction to modern probability theory. Topics include probability spaces, discrete and continuous random variables, joint and conditional distributions, mathematical expectation, the central limit theorem, and the weak law of large numbers. Applications to real data will be stressed, and we will use the computer to explore many concepts.
Course overview
- Department
- Mathematics
- School
- MCAS
- Credits
- 3
- Level
- Undergraduate
- Offered
- Every Fall,Every Spring
Catalog details
- Prerequisites
- MATH2202 or MATH2203
Requirements fulfilled
- Mathematics B.A.: 4000-level Mathematics elective options (Current University Catalog; students should confirm their catalog year)
- Mathematics B.S.: 4000-level Mathematics elective options (Current University Catalog; students should confirm their catalog year)
Official evaluation summary
3.59 / 5
Data freshness
Instructors
- Robert Gross
- Daniel Chambers
- Jamison Wolf
- Rishi Sonthalia
Sections
- Section 01
- Section 02