CSC 380 - Numerical Analysis and Optimization

Institution:

Catholic University of America

Subject:

Computer Science

Description:

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. Prerequisite: Math 122; Recommended: Background in computer programming such as Visual Basic, C++ and/or MATLAB.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.cua.edu

Phone Number:

(202) 319-5000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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