The fundamentals of programming and algorithm development are taught using an object-oriented language, such as Java. Topics include classes, control structures, arrays, inheritance, and graphical user interfaces. Lecture and laboratory.
3 credit hours
Students are introduced to file management, multi-dimensional arrays, subroutines, and VBScript. Students also compile programs to form executable programs and construct forms that can be processed through the Internet.
3 credit hours
A continuation of Computer Science 201, emphasis is on techniques needed to develop large object-oriented programs. Topics include exception handling, strings, recursion, files, collections, and generics. Lecture and laboratory.
3 credit hours
Selected mathematical concepts and techniques are studied. Topics include binary and hexadecimal arithmetic, computer-related logic, Boolean algebra, combinatorics, vectors, matrices, and an introduction to graphs.
4 credit hours
The functions, concepts, and techniques of algebra and trigonometry considered essential in the study and applications of calculus are introduced and/or reinforced.
4 credit hours
This is an in-depth study of trigonometry. Topics include a comprehensive analysis of trigonometric and inverse trigonometric functions and solutions of triangles, vectors, and polar coordinates.
3 credit hours
This course covers the fundamental concepts, techniques, and applications of the differential calculus of one variable and begins the study of integration.
4 credit hours
A continuation of Mathematics 212, topics include derivatives and integrals of logarithmic, exponential, and inverse trigonometric functions; techniques of integration; infinite series; and related applications.
4 credit hours
Elementary differential calculus and partial differentiation are studied, with applications to management. Students cannot receive credit for both Mathematics 238 and 247, nor for Mathematics 238 if credit was received for Mathematics 212.
3 credit hours
This is an introduction to measures of central tendency and variability, estimation and tests of significance, and regression and correlation. Lecture and laboratory. Students cannot receive credit for both Mathematics 240 and 248.
3 credit hours
Topics include differentiation and integration, including an introduction to partial differentiation. Students cannot receive credit for both Mathematics 238 and 247, nor for Mathematics 247 if credit was received for Mathematics 212.
3 credit hours
Topics include descriptive statistics, probability distributions, expected values, sampling distributions, estimation, and an introduction to hypothesis testing. Students cannot receive credit for both Mathematics 240 and 248.
3 credit hours