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Course Criteria
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3.00 Credits
Assists students to develop the skills necessary to do computational research in the mathematical sciences. Students work individually and in groups on assigned projects and write up and share their results. The course work is broken up into various units that explore an area or application of mathematics using software tools such as MATLAB or Maple. Typical topics include: iterations and fixed points, Fibonnaci numbers, fractals, the Google PageRank, magic squares and mathematical recreations, predator prey models, and computer animation.
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4.00 Credits
Prerequisites: MTH 112 Continuation of MTH 112. Two and three dimensional vectors, partial differentiation, multiple integrals and applications.
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3.00 Credits
Prerequisites: MTH 112 Continuation of MTH 211. Ordinary differential equations of the first order, linear differential equations of the nth order, some nonlinear second order equations, series solutions and Laplace transforms.
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4.00 Credits
Prerequisites: MTH 114 Continuation of MTH 114. An introduction to multivariable and vector calculus. The course covers multivariable functions, partial differentiation, multiple integrals, parameterized curves and surfaces, vector fields, line integrals, flux and divergence. This course, a version of MTH 211 for the integrated freshman year curriculum in engineering, may be repeated as MTH 211.
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3.00 Credits
Prerequisites: MTH 111 Required of all second-year mathematics majors and recommended for students in the physical, natural, behavioral and management sciences. Course material includes systems of linear equations, matrix theory, vector spaces, linear transformations, Eigenvalues.
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3.00 Credits
Prerequisites: Prerequisite: MTH 111 A first course in linear algebra covering general theory of matrices and linear systems. Topics include: Matrices and linear systems, determinants, vector spaces, orthogonality and eigenvalues. Computer laboratory exercises included.
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3.00 Credits
Prerequisites: MTH 101, or 111, or 104. Introduction to exploratory data analysis using R, including graphical techniques, confirmatory statistics, interval estimates, hypothesis tests, bootstrap estimates.
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3.00 Credits
Prerequisites: MTH 101, or 111, or 104 Introduction to methods of time series analysis, including autocorrelation, stationary and non-stationary time series, linear models.
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3.00 Credits
Topics in descriptive and inferential statistics including summary measures, discrete probability, normal density functions, point and interval estimation, hypothesis testing procedures, t-tests, analysis of variance, chi-square tests, correlation and regression analysis.& A statistical computer software package will be extensively utilized.& Condensing the topics covered in MTH 231 and 232, this course satisfies the MTH 231/2 requirement of most business-related majors.
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3.00 Credits
Prerequisites: MTH 111, 112; Or consent of instructor Corequisites: Co-req: MTH 211; or MTH 212; or MTH 221 Calculus-based programming covering conditionals, loops, arrays, file I/O, libraries, data types, and operating system commands. This course provides a project driven introduction to programming using a selection of mathematics programming tools, scripting languages, and traditional languages. This course requires a strong background in mathematics and is intended for students planning to take upper-level courses in applied or computational mathematics.
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