EECS 461
Elect Engr & Computer Science - Probability and Statistics
University of Kansas · Fall 2026
2 sections2 open now
Catalog description
Introduction to probability and statistics with applications. Reliability of systems. Discrete and continuous random variables. Expectations, functions of random variables, and linear regression. Sampling distributions, confidence intervals, and hypothesis testing. Joint, marginal, and conditional distribution and densities. Prerequisite: C- or higher in MATH 127 or MATH 147, and MATH 290 or MATH 291; and upper-level EECS eligibility.
Sections
Current meeting, instructor, credit, and enrollment details
1000
10 openSeats: 130/140 seats Last recorded: Jul 30, 2026, 1:16 AMClass #19083Fall 20263 credits
10 available130 enrolled140 capacity
- Days & times
- Tu Th · 12:30 – 1:45 PM
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Section notes
Source career: UGDL
Details checked 16 hours agoSeats checked 16 hours ago
1100
10 openSeats: 130/140 seats Last recorded: Jul 30, 2026, 1:16 AMClass #19314Fall 20263 credits
10 available130 enrolled140 capacity
- Days & times
- Mo · 5:00 – 6:50 PM
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Section notes
Source career: UGDL
Details checked 16 hours agoSeats checked 16 hours ago
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