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Course Criteria
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3.00 Credits
3 credits The first course in a three-course sequence designed to give the actuarial science student a solid foundation in calculus and linear algebra. This course focuses on the theory of differential calculus of a function of one variable. Topics include a review of algebraic and geometric preliminaries, the limit of a function, differentiation, applications of the derivative and an introduction to the integral. Important classes of functions studied in this first course include the polynomial, rational, and trigonometric functions. Fall.
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3.00 Credits
3 credits This course focuses on single-variable integral calculus. Topics include techniques of integration, application of the integral, the logarithmic and exponential functions, infinite series, and polar coordinates. Prerequisite: MSD-110 or equivalent. Spring.
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3.00 Credits
3 credits This course focuses on multivariate calculus and linear algebra. Topics include differentiation and integration in higher dimensions and their applications, three dimensional geometry, matricies, vector spaces, and the eigenvalue problem. Prerequisite: MSD-111. Fall.
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3.00 Credits
3 credits Methods and applications of descriptive and inferential statistics are examined. Topics include graphical techniques, descriptive measures, random variables, sampling distributions, and estimation and hypothesis testing for the mean and proportion of one population. Prerequisite: MSD-105 or equivalent.
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3.00 Credits
3 credits A continuation of MSD-200. Topics include comparison of two means, proportions and variances, simple linear regression, chi square tests, and the analysis of variance. Prerequisite: MSD-200.
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3.00 Credits
3 credits A study of the various quantitative techniques applicable to the problems of forecasting that occur in business and industry. Topics may include the regression techniques of causal modeling, as well as the moving average, exponential smoothing, and Box- Jenkins approaches of time series analysis. All methods are illustrated with the use of realistic forecasts. Prerequisite: MSD-201 or MTH-341. Fall.
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3.00 Credits
3 credits This course examines the use of applied linear statistical models to adequately describe practical relationships in business and economics. The implementation of a popular statistical computing package to analyze realistic data sets is an important component of the course. Topics include simple and multiple linear regression, model diagnostics and remedial measures, and the analysis of variance. Prerequisite: MSD-201 or MTH-341. Spring.
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3.00 Credits
3 credits This course introduces the concepts and techniques of designing and managing manufacturing and service systems and their operations effectively and efficiently. Major topics include product and process design, facility location, forecasting, aggregate planning, inventory management, supply chain management, project management, just-in-time systems, quality assurance, linear programming, and the transportation problem. Current issues such as productivity, global competitiveness, and quality are also discussed. Prerequisites: MSD-105 or MSD-110, MSD-200 or MTH-340, MSD-201 or MTH-341.
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3.00 Credits
3 credits A thorough treatment of the theory and applications of compound interest. Topics include the measurement of interest, elementary and general annuities, amortization schedules and sinking funds, and bonds and other securities. Prerequisite: MSD-112 or equivalent. Spring.
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3.00 Credits
3 credits The first of a two-semester survey of the principles of life contingencies with application to life insurance practice. Topics include survival distributions, life insurance, life annuities, benefit premiums and benefit reserves. Prerequisite: MSD-112, MTH-340 and MSD-350. Fall.
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