MATH1203 Slope of a straight lines, slopes of a curve, rate of change of functions, derivatives of algebraic and trigonometric functions, maxima and minima, Mean Value Theorem, indefinite and definite integrals and their applications.
MATH2202 Differentiation and integration of transcendental functions, methods of integration, indeterminate forms, infinite series. Taylor series. Conic sections.
MATH3303 This course introduces students to the basic theory of probability. Both discrete and continuous probabilistic models are used to solve problems. Concepts and techniques from discrete math, such as Boolean Algebras are used in discrete cases. Differentiation and integration techniques are used in continuous cases. Students get familiar with common discrete distributions; binomial, geometric and Poisson. Continuous distributions covered include: normal, exponential, gamma and chi-squared. Students also learn how to calculate means, variances and moment generating functions.
MATH3305 This course exposes students familiar with the basic theory of probability to a few more advanced areas of probability and one special area of statistical analysis. The probabilistic areas include multivariate probability distributions and functions at random variables. The statistical component covers linear models, including both simple and multiple linear regression analysis.
MATH3307 Students will develop an understanding of the fundamental concepts of financial mathematics with emphasis on applications in calculating present and accumulated values for various streams of cash flows. Topics include: valuation of annuities, loan amortizations, bond valuation, the rate of return an investment, asset-liability matching and immunization.
MATH3371 Definition of systems. Input, output and state variables. Continuous and discrete dynamical systems. Differential equations and their use in modeling. The CSMP language and its use. Spring