Computational Problem Solving

Catalog description

While this course is designed for students with majors in the engineering and physical sciences and applied mathematics it is open to all majors. The course will focus on scientific computing and problem-solving using MATLAB and/or similar programing tools. Topics studied include: the design of algorithms, algorithmic problem solving, abstraction, pseudocode, and iteration, important algorithms of computer science, methods used by computer scientists to classify algorithms according to their efficiencies, making predictions of execution times for algorithms, converting algorithms to programming languages such as Visual Basic, C++ and MATLAB. The course will focus on scientific computing and problem-solving using MATLAB and/or similar programing tools).The goal of the course is to design and execute computer programs using practical applications of the following: matrix algebra, and numerical integration of ordinary differential equations (ODEs). The course will also include applying the methodology for solving systems of linear and nonlinear equations and analysis of numerical results. Lab Fee.