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  • 4.00 Credits

    Second of two courses designed to introduce concepts of mathematics applicable to the field of computer science. Topics examine in detail the applied, real-world and theoretical mathematics implication of the mathematical functions including 1-1, inverse and composition, combinations, including counting rules and the multiplication principle; and graph theory, including paths, circuits, directed and undirected graphs, matrix representation of graphs, and trees. The symbolic, numerical and graphical representations of the mathematical concepts are expanded and explored. Emphasis on solving problems symbolically, numerically and graphically, and understanding connections among these methods in interpreting and analyzing results. Recommended prerequisite: MTH 231, equivalent course or competency, or instructor approval. Credits: 4 Lecture: 4
  • 4.00 Credits

    Introduces basic concepts of differential and integral calculus for students majoring in management and social science. Includes elementary differential and integral calculus of polynomial, logarithmic and exponential functions, and their applications to business, management and social sciences. Recommended prerequisite: MTH 111. A graphing calculator is required. TI-83 recommended. Credits: 4 Lecture: 4
  • 4.00 Credits

    Introduces linear programming, probability and descriptive statistics for students majoring in business and social sciences. Includes graphical and algebraic techniques of solving linear programming problems, descriptive statistics, graphs of data, basic probability theory, random variables, and binomial and normal probability distributions. Recommended prerequisite: MTH 111 or instructor approval. A graphing calculator is required. TI-83 recommended. Credits: 4 Lecture: 4
  • 4.00 Credits

    Introduces methods of inferential statistical analysis. Includes sampling techniques, introduction to binomial and normal distributions, sampling distributions, the central limit theorem, confidence intervals, hypothesis testing for one and twosample data, and tests of association: linear regression and categorical analysis. Real-world data sets and group activities are emphasized. Students will be introduced to and use a standard statistical software package. A graphing calculator is required. TI-83 recommended. Basic computer skills (especially spreadsheet knowledge) are desirable. Prerequisites: C or better in MTH 243 or MTH 243 equivalency met or instructor approval. Credits: 4 Lecture: 4
  • 4.00 Credits

    Introduces concepts of differential calculus for science, mathematics and engineering students. Includes limits and continuity; the derivative; rates of change; derivatives of polynomial, rational and trigonometric functions; applications including maximum-minimum problems; antiderivatives and definite integrals. Topic presentation includes group discovery activities. Real applications, technical writing, group activities and group projects are emphasized. A graphing calculator is required. TI-83 is recommended. Computer literacy recommended. Recommended prerequisites: MTH 112, MTH 113 or equivalent or instructor approval. Credits: 4 Lecture: 3 Lab: 3
  • 4.00 Credits

    Introduces concepts of integral calculus to science, mathematics and engineering students. Includes antidifferentiation, fundamental theorem, integration techniques, numerical methods, improper integrals and mathematical modeling with applications to geometry, physics, economics, population dynamics and stochastic models. Topic presentation includes group discovery activities. Real applications, technical writing, group activities and group projects are emphasized. A graphing calculator is required. TI-83 recommended. Computer literacy recommended. Recommended prerequisite: MTH 251. Credits: 4 Lecture: 3 Lab: 3
  • 4.00 Credits

    Introduces further calculus concepts to science, mathematics and engineering students. Includes infinite sequences, infinite series, Taylor series, parametric equations and functions in polar coordinates, and an introduction to linear algebra including systems of linear equations, vectors, matrices, linear independence/dependence, matrix inverses, determinants, eigenvalues, and eigenvectors. Real applications, technical writing, group activities, and group projects are emphasized. A graphing calculator is required. TI-83 is recommended. Computer literacy recommended. Recommended prerequisite: MTH 252. Credits: 4 Lecture: 3 Lab: 3
  • 4.00 Credits

    Introduces concepts of vector calculus to science and engineering students. Includes introduction to linear algebra, vectors and vector functions, parametric curves, functions of several variables, partial derivatives, gradients, directional derivatives and optimization problems. A graphing calculator is required. TI-83 is recommended. Computer skills required. Recommended prerequisite: MTH 253. Credits: 4 Lecture: 3 Lab: 2
  • 4.00 Credits

    Continuation of the study of vector analysis for science and engineering students. Includes double and triple integrals with applications to area, volume and center of mass; introduction to vector analysis including divergence, curl, line integrals and work, surface integrals; conservative fields and the theorems of Green and Stokes. A graphing calculator is required. TI-83 recommended. Basic computer skills required. Recommended prerequisite: MTH 254. Credits: 4 Lecture: 3 Lab: 2
  • 4.00 Credits

    Introduction to the application of differential equations for science and engineering students. Includes first- and second-order linear and nonlinear equations and applications appropriate for science and engineering; introduction to the Laplace transform and higher order equations; and series solutions. A graphing calculator is required. TI-83 is recommended. Computer skills required. Recommended prerequisite: MTH 253. Credits: 4 Lecture: 3 Lab: 2
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