The main emphasis of the course is on applications and computational methods, with a view to facilitate the use of linear algebra in computer science and the natural and social sciences. Calculus and Analytic Geometry III Solid analytic geometry, differential calculus of vector-valued functions, calculus of functions of several variables, including partial derivatives, double integrals, and line integrals. Mathematics Seminar A seminar designed to expose the mathematics student to the broad range of applications of mathematical concepts and methods from a current or historical perspective. A study of the basic techniques and modes of reasoning of combinatorial problem-solving. I A study of systems of numeration and properties of number systems from whole numbers through real numbers.
Special attention is given to mathematical reasoning and problem solving.
Mathematics II A continuation of MATH 3303. Additional topics include properties of real number systems, metric, non-metric, and coordinate geometry, probability, and statistics with a continued emphasis on problem solving. An introduction to numerical methods, both the mathematical methods for solving equations numerically and the programming of these methods on computers. Statistics A representative introduction to both the data-oriented nature of statistics and the mathematical concepts underlying statistics. Topics include data gathering and experimental design, organizing and describing data, classical probability theory, and statistical inference.