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ECE 361 Probability and Data Analytics for Engineers 4.0 Credits

This course will cover topics related to probability and statistics. Probability topics include sample space and probability, discrete and continuous random variables (single and multiple), and their properties and applications to modeling, and the central limit theorem. Topics in statistics will include parametric and non-parametric hypothesis testing, data analytics and related topics, computational approaches and bootstrapping.

College/Department: College of Engineering/Electrical Computer Engr
Repeat Status: Not repeatable for credit
Prerequisites: ENGR 232 [Min Grade: D] or MATH 262 [Min Grade: D] or ECE 232 [Min Grade: D] or CAEE 232 [Min Grade: D] or MATH 210 [Min Grade: D]