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  • 3.00 Credits

    Session Cycle: Fall and Spring Yearly Cycle: Annual A continuation of MATH 201, this course provides students further concepts necessary for statistical analysis and inference. Topics include analysis of variance, multiple regression and correlation, model building, chi-square tests, and nonparametric statistics. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Applied Actuarial Math Minor, Applied Statistics Minor, Liberal Arts Elective
  • 3.00 Credits

    Session Cycle: Fall and Spring Yearly Cycle: Annual This course is a combination of personal software development using microsoft Visual Basic and the application of visual basic concepts in the development of Excel spreadsheets for business operations. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Applied Actuarial Math Conc., Applied Statistics Minor, Liberal Arts Elective
  • 3.00 Credits

    Session Cycle: Spring Yearly Cycle: Annual This course provides an introduction to SAS programming in the context of practical problems taken from applied statistics. It simultaneously reviews the basic statistical methods covered in an introductory and an intermediate methods course and gives students the tools to perform the analysis of the corresponding data using the SAS programming language. Thus, for a given data-set, the focus of the course is on correctly (1) identifying the design and the appropriate analysis (including verification of necessary assumptions), (2) writing the SAS syntax to obtain the corresponding results, and (3) clearly interpreting the output (with indications for follow-up studies). 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Applied Statistics Minor
  • 3.00 Credits

    Session Cycle: Fall Yearly Cycle: Annual This course will focus on the statistical models used in data mining. This course explores the different statistical tools and graphical techniques used throughout the data mining process. It will cover the most useful tools such as linear regression, generalized linear models, regressions/ classification trees, and neural networks. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Applied Statistics Minor
  • 3.00 Credits

    This course focuses on selected topics in mathematics and will vary from year to year according to student interest and faculty availability. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Liberal Arts Elective
  • 3.00 Credits

    Honors courses provide the opportunity for exceptional achievement. Instructors use methods and introduce concepts that will challenge the highly motivated student. Often interdisciplinary in approach and sometimes team taught, honors courses typically offer students occasions to extend their learning beyond the classroom. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Liberal Arts Elective
  • 3.00 Credits

    Session Cycle: Spring Yearly Cycle: Annual This course will cover topics such as divisibility, prime numbers, Fundamental Theorem of Arithmetic, Euclid's Algorithm, Pascal's Triangle, Fibonacci numbers, congruences and residue classes, Diophantine equations, Euler's Phi Function, Fermat's Last Theorem, and Pythagorean Triples. A major application in the course will be to Cryptography. Prerequisite: permission of instructor 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Applied Statistics Minor, Liberal Arts Elective, Mathematics Minor
  • 3.00 Credits

    Session Cycle: Fall Yearly Cycle: Annual This course provides an introduction to the concepts and methods of Decision Science, which involves the application of mathematical modeling and analysis of management problems. It also provides a foundation in modeling with spreadsheets. Topics include linear programming, goal programming, nonlinear programming, decision analysis, and simulation. Pending approval of the Curriculum Committee and the VPAA. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Applied Statistics Minor, Liberal Arts Elective
  • 3.00 Credits

    Session Cycle: Spring Yearly Cycle: Annual After a brief review of multiple regression and analysis of variance, students are introduced to multivariate statistical techniques including principal components analysis, factor analysis, cluster analysis, discriminant analysis, logistic regression and multivariate analysis of variance. This course will emphasize practical applications rather than theory. The computer package SPSS will be used for analysis. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Applied Actuarial Math Minor, Applied Statistics Minor, Liberal Arts Elective
  • 3.00 Credits

    This course focuses on selected topics in mathematics and will vary from year to year according to student interest and faculty availability. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences Undergraduate Division Mathematics Department Course Attributes: Applied Statistics Minor, Liberal Arts Elective
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