DA 480 Numerical Analysis and Optimization
Numerical Analysis and Optimization methods to solve practical problems in computer science, business, engineering and science. Practical problem solving 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 480, CSC 580, DA 480, DA 580
Prerequisite
Data Analytics and Computer Science undergraduate students