CEE 3200 Engineering Computation
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The CEE 3200 Engineering Computation course basically is an introduction to numerical methods, computational mathematics, probability, and statistics. Use MATLAB and spreadsheets to improve your programming and graphics skills. Topics include Taylor series approximation, numerical error, number of conditions, number of operations, convergence and stability, probability distribution, and hypothesis testing. The course includes numerical methods for solving engineering problems, including roots of functions, joint linear equations, statistics, regression, interpolation, numerical differentiation and integration, as well as ordinary differential equations. Applications come from many different areas of technology. A team project uses these methods to solve a real engineering problem.
The constant goal of engineering computing is to address the various disciplines involved in numerical decision support, to publish advances in computational algorithms and elemental methods, and to encourage innovation, especially in engineering applications.
The development of computer engineering continues to evolve rapidly, and the dissemination of information associated with these developments reflects the same relevance. The journal plays this role by providing an important medium for the cross-dissemination of ideas and knowledge for inclusion in research and development plans.
Outcome 1: Become familiar with standard numerical methods and statistical procedures for engineering calculations and learn how to synthesize various methods in specific engineering applications.
Outcome 2: Learn to calculate, evaluate, and track errors associated with numerical calculations.
Outcome 3: Working knowledge of high-level programming languages widely used in numerical methods and graphic engineering, especially MATLAB.
Outcome 4: Gain experience as a team.
Outcome 5: Know how to design health tests for computed results and how to communicate these results clearly and objectively.
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