Discrete Mathematics MTH 2110.pdf
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Prerequisite: Mathematics 095; Mathematics 099; or Mathematics 102; or Mathematics 103; or Mathematics 108. Note: Students can get credit for only one of the following MATH 1070, MATH 1071, MATH 1091, MATH 1100 or MATH 1101. For more information, search for this course here.
Prerequisites: Mathematics 095; Mathematics 099; or, Mathematics 100; or, Mathematics 102 or 103; or, Mathematics 108. Note: Students can get credit for only one of the following MATH 1070, MATH 1071, MATH 1091, MATH 1100 or MATH 1101. For more information, search for this course here.
This course examines the applications of mathematical and statistical concepts to the fields of computer programming, information systems, and engineering. Topics include arrays, arrays, arrays, arrays, mathematical and statistical analysis, computer graphics, and data bases.
This course provides an introduction to a variety of applications of mathematics and the use of mathematics in science and engineering. Topics include calculus, probability theory, geometric calculus, differential equations, ordinary and partial differential equations, Fourier analysis, linear algebra, numerical analysis, and a related topics. The course examines the use of mathematics in science and engineering and the solution of real world problems. Topics include measurement, systems of equations, trigonometry, vectors and matrices, the Riemann integral, limits, vectors and matrices, analytic functions, a related topics, and linear and non-linear programming.
This course introduces the mathematics of professional and academic computing. The course will provide a foundation of basic computational methods and concepts. Topics include algorithmic computation and computer programming with a focus on data structures; data representation and analysis; geometric programming, optimization and regression.
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