Mathematics and Computer Science Department Courses


Mathematics Courses
MATH 102 – Fundamental Concepts of Modern Mathematics, 4 credits. E. Numeration, number systems, geometry and other topics addressed in the elementary school curriculum. Required for students majoring in elementary education.
MATH 105 K – Exploring Mathematics, 4 credits. E. This course uses real-world problems and situations to improve students' problem-solving skills, to improve their ability to apply mathematics, and to enhance their appreciation of the importance of mathematics in our modern world. Topics will be chosen from voting theory, fair division, apportionment, scheduling, networking, probability, statistics, consumer mathematics, population growth, logic, game theory, and symmetry. This course can be used to fulfill the math exploration requirement.
MATH 110 K – Precalculus, 4 credits. E. A study of the function concept and properties of the polynomial, exponential, logarithmic and trigonometric functions. Prerequisites: high school geometry and higher algebra
MATH 121 K – Calculus I, 4 credits. E. An introduction to the concepts of limit and continuity, the derivative and its applications and an introduction to the definite integral. Some review of trigonometry and analytic geometry is included. Prerequisite: MATH 110 – Precalculus or equivalent
MATH 122 K – Calculus II, 4 credits. E. Applications of the definite integral, techniques of integration, parametric equations, introduction to differential equations, sequences, series and Taylor and Maclaurin Series. Prerequisite: MATH 121 – Calculus I
MATH 203 K – Finite Mathematics, 4 credits. E. The course examines combinatorics, probability, statistics, matrices, systems of linear equations, linear inequalities and mathematics of finance. Prerequisite: high school higher algebra
MATH 205 K – Introduction to Statistics, 4 credits. E. This is an introductory course in statistical methods for science and mathematics students. The object of this course is to provide students with a conceptual introduction to the field of statistics, including the determination of the appropriate procedures for data analysis and the proper interpretation of results. The theory will be illustrated by examples from biology, engineering, industry and medicine. In addition, a statistical software program will be used to facilitate the understanding of statistical concepts and analysis of data sets. Prerequisite: high school higher algebra
MATH 207 K – Discrete Mathematics, 4 credits. E. Logic, sets, functions, sequences and series, matrices, algorithms, methods of proof, combinatorics, recurrence relations, linear programming, graphs and trees. A previous mathematics class at or above MATH 110 – Precalculus (or the equivalent) is highly recommended.
MATH 210 – Linear Algebra, 4 credits. E. Vectors, matrix algebra, systems of linear equations, determinants, vector spaces, span and basis, eigenvalues and eigenvectors. Also includes an introduction to proof. Prerequisite: MATH 122 – Calculus II or consent of the instructor
MATH 215 – Introduction to Probability and Statistics, 2 credits. E2. Basic concepts of data analysis, randomness and uncertainty required for elementary mathematics concentration. Topics include: data collection, exploratory data analysis, measures of central tendency and spread, theoretical probabilities in simple and compound events, basics of experimental design, and evaluating predictions and arguments from data. Prerequisite: high school higher algebra or MATH 102 – Fundamental Concepts of Modern Mathematics or MATH 105 – Exploring Mathematics
MATH 220 – Introduction to Geometry Concepts, 2 credits. E2. Basic geometry content for students seeking elementary mathematics concentration. Topics will include: deriving and describing shapes, characteristics of geometric objects, spatial reasoning with geometric models, elementary geometric transformations, analysis and presentation of geometric arguments, and measurement and estimation. Prerequisite: MATH 102 – Fundamental Concepts of Modern Mathematics
MATH 223 K – Calculus III, 4 credits. E. Multivariable calculus and applications, line integrals, surface integrals. Green's Theorem, Stokes' Theorem and the Divergence Theorem. Prerequisite: MATH 122 – Calculus II
MATH 250 – Pre-May Seminar, 2 to 4 credits. A2 (2010-2011). An introduction to the art and science of mathematics, the axiomatic system that forms its foundation, the historical factors that have influenced its development, its close ties to astronomy, the sciences, art and religion; and its role in the development of Western culture.
MATH 300 – May Seminar, 4 credits. MS.
MATH 311 K – Differential Equations, 4 credits. E2. Differential equations and models, analytic and qualitative solutions, nth-order equations, linear systems, harmonic oscillators, Laplace transforms, initial and boundary value problems, bifurcation. Prerequisite: MATH 122 – Calculus II
MATH 312 – Applied Mathematics, 2 credits. D. An introduction to Fourier and other methods for solving partial differential equations, including the heat, wave and potential equations and related boundary value problems. Prerequisites: MATH 210 – Linear Algebra, MATH 223 – Calculus III and MATH 311 – Differential Equations
MATH 315 – Probability and Mathematical Statistics, 4 credits. E1. Introduction to the basic concepts in probability theory, including discrete and continuous probability functions, independence, random variables, order statistics, expected value, variance and moment generating functions. Specific attention given to normal, Poisson and geometric distributions, as well as estimation and estimators. Prerequisite: MATH 223 – Calculus III
MATH 316 – Applied Statistical Models, 4 credits. A2. (2010-2011). An introduction to the construction and analysis of least-squares models, including multiple regression, ANOVA, ANCOVA and mixed models. Generalized linear models will also be presented, with special attention paid to logistic regression and log-linear models. Examples and applications will be drawn from various disciplines, including biology, medicine, economics, engineering and the social sciences. Prerequisite: MATH 315 – Probability and Mathematical Statistics or consent of the instructor
MATH 320 K – Geometry, 4 credits. E2. Euclidean, non-Euclidean, projective and other geometries as time permits. Prerequisite: MATH 210 – Linear Algebra
MATH 325 – Modern Algebra I, 4 credits. E1. Introduction to basic algebraic systems: groups, rings, integral domains and fields. Special attention is given to the ring of integers. Prerequisite: MATH 210 – Linear Algebra
MATH 328 – Complex Analysis, 4 credits. A2 (2011-2012). The algebra and geometry of complex numbers, elementary analytic functions, complex functions defined by power series, differentiation and integration of complex functions with selected applications. Prerequisite: MATH 223 – Calculus III
MATH 330 – Real Analysis I, 4 credits. A2 (2010-2011). Sets, real numbers, sequences and convergence, limits of functions, continuity and differentiability, the Riemann integral, infinite series, and sequences and series of functions. Prerequisites: MATH 210 – Linear Algebra and MATH 223 – Calculus III
MATH 335, CSC 335, BUS 460 K – Operations Management/Research, 4 credits. E1. An introduction to the theory and practice of quantitative modeling and optimization, with applications to computer simulation and business resource management. Possible topics Include linear and nonlinear programming, network analysis, game theory, deterministic and probabilistic models. Prerequisite: consent of the instructor.
MATH 380 – Special Topics, 2 to 4 credits. D. Courses covering various topics of interest in this particular discipline are offered regularly. Contact department or program chair for more information.
MATH 390 – Cooperative Education, 1 to 8 credits. E.
MATH 402 – Senior Seminar, 2 credits. E2. Required of all senior mathematics majors. With the guidance of faculty members, each student researches a topic and delivers an oral presentation, and prepares a paper on that topic. Prerequisite: senior standing in mathematics or permission of instructor.
MATH 403 Z – Senior Seminar, 2 credits. E2. With the guidance of faculty members, each student researches a topic in mathematics, delivers an oral presentation and prepares a paper on the topic.
MATH 425 – Modern Algebra II, 2 credits. D. Further study of the basic algebraic systems introduced in MATH 325 – Modern Algebra I. Prerequisite: MATH 325 – Modern Algebra I
MATH 430 Z – Real Analysis II, 2 credits. D. Further study of topics listed under MATH 330 – Real Analysis I. Prerequisite: MATH 330 – Real Analysis I
MATH 480 – Independent Study, 1 to 2 credits. E. This course provides an opportunity for individual students to conduct in-depth research of a particular topic under the direct supervision of a faculty member. A seminar on non-routine problems sometimes is conducted. Prerequisite: Consent of faculty. Contact the department or program chair for more information.

Computer Science Courses
CSC 104 – Software Applications, 4 credits. E. An in-depth introduction to common applications of the microcomputer. The student will learn to use Windows, word processing, spreadsheets, presentation and database software. The class is taught in a lab setting. (Credit not given for a computer science major or minor.)
CSC 125 K – Introduction to Computer Science, 4 credits. E. The first course in the major/minor sequence. An introduction to the Java programming language, algorithm design, structured and object-oriented programming techniques. No prior programming experience is assumed. Prerequisite: higher algebra
CSC 225 – Fundamental Structures, 4 credits. E. Intermediate data structures and techniques of object-oriented and structured programming. Discrete data types and structures, including arrays, files, sets, lists, trees, hash tables, sorting and recursion. Small to medium-scale programs are developed. Prerequisite: CSC 125 – Introduction to Computer Science
CSC 240 – Introduction to C/C++, 2 credits. B4. This course provides an introduction to C++ programming for students who have already learned Java language. Programs in Java and C++ share a superficial resemblance to each other, but beneath the surface there lies a myriad of practical and philosophical differences. Prerequisite: CSC 225 – Fundamental Structures or consent of the instructor
CSC 245 – Introduction to UNIX/LINUX, 2 credits. B3. This course introduces the fundamentals of the UNIX operating system to the PC user. It provides a hands-on approach to take the student through the basics of UNIX system concepts, architecture and administration. Prerequisite: consent of the instructor
CSC 248 G – Local and Global Impact of Technology, 4 credits. D. This course will explore the basics of the relationship between computers and human societies, both at the local and global levels. Students will get an introductory exposure to the basics of computing, as well as their positive and negative impact on human societies. Special concentration will be placed on the impact of computers on globalization from the point of view of both developing and the developed worlds.
CSC 250 – Pre-May Seminar, 4 credits. MS.
CSC 300 – May Seminar, 4 credits. MS.
CSC 320 – Computer Systems and Organization, 4 credits. E1. A study of computer architecture and assembly language programming. Highlights include: machine language programming, assembly and linkage processes, interrupts, memory management, macros, graphics, and mouse programming. Prerequisite: CSC 225 – Fundamental Structures
CSC 330 – Introduction to Database Management, 4 credits. A1. (2010-2011). An introduction to database theory and practice. Topics include relational database design, ER modeling, normalization, SQL/embedded SQL, concurrency control, data warehousing and other emerging database technologies. Practical software engineering principles are emphasized through student projects. Prerequisite: CSC 225 – Fundamental Structures or consent of the instructor
CSC 335, MATH 335, BUS 460 K – Operations Management/Research, 4 credits. E1. An introduction to the theory and practice of quantitative modeling and optimization, with applications to computer simulation and business resource management. Possible topics Include linear and nonlinear programming, network analysis, game theory, deterministic and probabilistic models. Prerequisite: consent of the instructor
CSC 340 – System Analysis and Design, 4 credits. A1 (2011-2012). An overview of the systems development process. Includes: tools/techniques for describing processes, data flows, data structures, file designs, input/output designs, program specifications and prototyping for systems. Discovery, problem-solving and communications skills as employed by the systems analyst are also covered. Prerequisite: CSC 225 – Fundamental Structures
CSC 345 – Computer Networks, 4 credits. A2 (2011-2012). An introduction to the fundamental concepts in the design and implementation of computer communication networks. Topics include network topologies and applications, data link protocols, local area networks, routing and high-speed networks. Examples will be drawn primarily from ATM and TCP/IP protocols. Prerequisite: CSC 225 – Fundamental Structures or equivalent
CSC 374 – Digital Electronics and Robotics, 4 credits. A2 (2010-2011). An introduction to digital electronics and robotics. The course includes a three-hour lab in which students study existing electronic designs and develop new ones to solve various problems. A final project, which involves electronic hardware development, robotics equipment and software programming, is a course requirement. Prerequisite: CSC 225 – Fundamental Structures
CSC 380 – Special Topics, 4 credits. D. An opportunity to study in depth an advanced topic of current interest. Students work as teams to complete several extended research projects.
CSC 390 – Cooperative Education, 1 to 8 credits. E.
CSC 420 – Operating Systems, 4 credits. A2 (2011-2012). A study of how computers manage their resources. Highlights include concurrency, memory management, process and processor management and scheduling, device control, performance evaluation and system security. Several operating systems are compared, including a detailed analysis of the UNIX operating system. Prerequisite: CSC 225 – Fundamental Structures, CSC 245 – Introduction to UNIX/LINUX or consent of the instructor
CSC 430 – Principles of Programming Languages, 4 credits. A2 (2010-2011). An introduction to principles of programming language design. Topics include regular and context-free grammars, parsing, static and dynamic scoping and type checking. Students will explore the dimensions of computer languages drawn from several different programming paradigms. Prerequisite: CSC 320 – Computer Systems and Organization
CSC 480 – Independent Study, 1 to 4 credits. D. An opportunity for study beyond our current course offerings or for independent research under the guidance of a faculty member. Prerequisite: Consent of faculty. Contact the department or program chair for more information.