EE 480 Numerical Analysis and Optimization
Numerical Analysis and Optimization methods to solve practical problems in computer science, business, engineering, and science. Practical problem solving is based on analyzing empirical, experimental, or measured data where the precise mathematical model is approximated or not necessarily known. Limitations, trade-offs, and margins of error are evaluated for various practical examples such as network traffic, engineering, science, and business applications. MATLAB and/or C++ are used for computational problem-solving. Suitable for computer science, mathematics, engineering, and business majors.
Cross Listed Courses
CSC/DA/
EE 480/580