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EE 3330. PROBABILITY AND STATISTICAL METHODS. 3 Hours.

Probability, random variables, functions of random variables, moments, random signals, noise, stochastic models and power spectral density. Data and statistics. Random sampling. Statistical analysis, hypothesis testing, goodness of fit test, and regression. Response of LTI systems to random signals. Rigorous mathematical concepts will be tied to engineering system issues such as characterizing uncertainty due to measurement error, component and system tolerances, and noise sources such as device noise, quantization noise, communication channel noise, and thermal noise. Prerequisite: Must be in the professional EE program and C or better in each of the following: EE 2347 and EE 3316 (or concurrent enrollment).

Bachelor of Science to Master of Science in Electrical Engineering Fast Track

https://catalog.uta.edu/engineering/electrical/undergraduate/electrical-engr-bs-to-ms-fast/
Bachelor of Science in Electrical Engineering to Master of Science in Electrical Engineering Fast Track enables outstanding UT Arlington senior undergraduate students in Electrical Engineering to receive dual undergraduate / graduate course credit for nine credit hours of coursework.  These designated graduate courses satisfy both bachelor’s and master’s degree requirements. This program presentation includes both undergraduate and graduate requirements. The undergraduate degree will be conferred immediately upon completion of the undergraduate degree requirements.