Apr 04, 2026  
2025-2026 University Catalog 
    
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EGEC 440 - Implementation of Probabilistic Processes on Embedded Systems (3)

Continuous random variables, probability distributions and density functions, the law of large numbers, and the central limit theorem, sample mean and variance, estimating distributions, correlation, regression, and hypothesis testing implemented on Embedded Systems. (2 hrs lecture, 2 hrs laboratory)

Prerequisite: MATH 250B ; or graduate standing.

400-level Undergraduate Course available for Graduate Credit


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