Forty-nine papers submitted for publication
Mathematics and Computer Science Course Offerings
Professors Bryce, KoetherL; Associate Professors Hemler, Pelland, Valente; Adjunct Associate Professor Webber; Assistant Professors Hulsizer, Lins, Pendergrass, Wages
Chair: Paul F. Hemler
A major in Mathematics requires at least 11 courses: Mathematics 141, 142, 231, 242, 431, 441, and five electives at or above the 200-level. Among the 37 hours must be one of the following sequences: Mathematics 421-422, 431-432, 441 and 444, 441 and 448, or 451-452. Two of the electives may be Computer Science courses. With the approval of the department, one of the five electives may be a course in another department that makes extensive use of mathematics.
A major in Computer Science requires at least 11 courses: Computer Science 261, 262, 361, 362, 461, and 480; Mathematics 141 and 262; and three additional courses, at least two of which must be Computer Science courses at the 200-level or above. A student may use either Computer Science 161 or Physics 103 for the third course
A major in Applied Mathematics requires at least 11 courses: Mathematics 121, 141, 142, 231, 242, 421, and Computer Science 261; one course with mathematical content outside the department, approved by the department; and at least three courses from among Mathematics 222, 243, 331, 342, 343, 345, 422, 441, 444, 452, and Computer Science 262. To prepare for a career in engineering, a student should elect at least Mathematics 243, 343, and Computer Science 262. To prepare for a career in statistics or actuarial work, or to prepare for business school, a student should elect at least Mathematics 222, 331, and 422.
The department recommends that students who intend to teach mathematics complete a major in Mathematics.
MATHEMATICS 100. (4)
INTRODUCTION TO THE MATHEMATICAL SCIENCES. Enough elementary functions, algebra, and arithmetic to prepare students for other courses in mathematics and computer science. A student cannot receive credit for Mathematics 100 if he has passed any other college course in Mathematics or Computer Science. Prerequisite: consent of the department. Offered: fall semester.
MATHEMATICS 111. (3)
MATHEMATICS AND SOCIETY. An exploration of the mathematical techniques used to solve problems in society. Specific topics are chosen from among the following: voting and power; division and apportionment; graph theory and scheduling; cryptography, game theory, symmetry, and form; and probability. Prerequisite: none. Offered: fall semester.
MATHEMATICS 121. (4)
STATISTICS. Introduction to probability and statistics. Exploratory data analysis. Discrete and continuous random variables, estimation, hypothesis testing. Prerequisite: none. Offered: each semester.
MATHEMATICS 130. (4)
FINITE MATHEMATICAL MODELS. A course emphasizing the use of finite mathematics in modeling real-world phenomena. Specific topics are chosen from among the following: matrix algebra, graph theory, cryptography, Leontief input-output models, linear programming, probability, counting methods, game theory, and Markov chains. Prerequisite: none. Offered: each semester.
MATHEMATICS 140. (4)
CALCULUS FOR ECONOMICS. A study of differential and integral calculus and its applications. Topics include differentiation of elementary functions in one and several dimensions, integration of polynomials, and constrained and unconstrained optimization in one and several variables. Prerequisite: Economics 101. Students who have any credit at Hampden-Sydney for the study of calculus may not take this course. Offered: each semester.
MATHEMATICS 141. (4)
CALCULUS I. Elementary functions, limits, derivatives, optimization, the definite integral, and the Fundamental Theorem of Calculus. Prerequisite: none. Offered: each semester.
MATHEMATICS 142. (4)
CALCULUS II. Functions defined by integrals, inverses, applications and techniques of integration, infinite series. Prerequisite: Mathematics 141 or the equivalent. Offered: each semester.
MATHEMATICS 212. (3)
INTRODUCTION TO THE HISTORY OF MATHEMATICS. A survey, from Babylonian mathematics through Greek mathematics, including some topics from modern mathematics, and illuminating G. Cantor's dictum that the essence of mathematics is its freedom to change. An extensive student project is required. Prerequisite: Mathematics 142, or consent of the instructor.
MATHEMATICS 222. (4)
STATISTICAL METHODS. A project-based study of sampling distributions, estimation, and hypothesis testing. Major topics are classical and nonparametric analysis of variance, and regression analysis. Students use a variety of statistical software to produce both individual and group projects. Prerequisite: Mathematics 121, or consent of the instructor. Offered: spring semester.
MATHEMATICS 231. (4)
LINEAR ALGEBRA. Matrix arithmetic, vectors, abstract vector spaces, linear transformations, inner products, and eigenvalues, with some emphasis on applications and computing. Prerequisite: Mathematics 142. Offered: spring semester.
MATHEMATICS 242. (4)
CALCULUS III. Plane curves, polar coordinates, vector analysis of curves, infinite series, approximation, partial derivatives, line integrals, and double integrals. Prerequisite: Mathematics 142. Offered: fall semester.
MATHEMATICS 243. (3)
DIFFERENTIAL EQUATIONS. Analytic and numerical solutions of ordinary differential equations. Existence and uniqueness of solutions. Solutions of linear systems. Prerequisite: Mathematics 242, or consent of the instructor. Offered: fall semester.
MATHEMATICS 262. (4)
DISCRETE MATHEMATICS. An introduction to the discrete mathematics most useful in computing and computer science. Topics include set theory, mathematical logic, graph theory, and combinatorics. Prerequisite: Mathematics 142 or Mathematics 141 and Computer Science 261. Offered: spring semester
MATHEMATICS 331. (4)
OPTIMIZATION. A mathematical introduction to optimization. Linear programming, integer programming, transportation and assignment problems, game theory, nonlinear programming, and decision analysis. Prerequisite: Mathematics 231. Offered: spring semester of odd-numbered years.
MATHEMATICS 334. (3)
ELEMENTARY NUMBER THEORY. An introduction to the theory of numbers. Prerequisite: Mathematics 231. Offered: fall semester of odd-numbered years.
MATHEMATICS 342. (3)
NUMERICAL ANALYSIS. Solutions to problems of analysis by numerical methods and the study of error in numerical processes. Prerequisites: Mathematics 231 and 242. Offered: spring semester of even-numbered years.
MATHEMATICS 343. (3)
VECTOR ANALYSIS. Line and surface integrals, classical theorems of vector analysis. Prerequisites: Mathematics 231 and 242. Offered: on demand.
MATHEMATICS 345. (3)
APPLIED MATHEMATICS. Mathematical models and topics in advanced mathematics with application to the natural and social sciences. Prerequisites: Mathematics 231 and 242, or consent of the instructor. Offered: fall semester of even-numbered years.
MATHEMATICS 421. (3)
PROBABILITY AND STATISTICS I. Discrete and continuous probability distributions, moment-generating functions, and limit theorems. Prerequisite: Mathematics 242. Offered: fall semester of odd-numbered years.
MATHEMATICS 422. (3)
PROBABILITY AND STATISTICS II. The theory underlying estimation and hypothesis testing, and its application in one- and two-sample problems. Prerequisite: Mathematics 421. Offered: spring semester of even-numbered years.
MATHEMATICS 431-432. (3-3)
ALGEBRAIC STRUCTURES. Groups, rings, fields, linear algebra, and selected topics. Prerequisite: Mathematics 231. Offered: 431 in the fall semester of even-numbered years; 432 on demand.
MATHEMATICS 441. (3)
INTERMEDIATE ANALYSIS. Further investigation of the calculus of one real variable. Continuity, uniform convergence, differentiation, and integration. Prerequisites: Mathematics 231 and 242. Offered: fall semester of odd-numbered years.
MATHEMATICS 444. (3)
COMPLEX ANALYSIS. An introduction to the theory of complex functions. Prerequisite: Mathematics 441. Offered: spring semester of odd-numbered years.
MATHEMATICS 448. (3)
TOPOLOGY. Elementary topological concepts. Prerequisite: Mathematics 441. Offered: spring semester of even-numbered years.
MATHEMATICS 451. (3)
GEOMETRY. An axiomatic approach to Euclidean geometry and an introduction to non-Euclidean geometries. Prerequisite: Mathematics 231.
MATHEMATICS 452. (3)
DIFFERENTIAL GEOMETRY. The geometry of curves and surfaces in Euclidean space. Topics include differential forms; curvature, torsion, and the Frenet formulas for curves; fundamental forms and curvatures for surfaces; and the Gauss-Bonnet Theorem. Prerequisites: Mathematics 231 and 242.
MATHEMATICS 461-462. (3-3)
HONORS IN MATHEMATICS. A scholarly project conducted in close consultation with a supervising professor. Prerequisites: permission of the instructor for 461; 461 and permission of the instructor for 462. Offered: on demand.
COMPUTER SCIENCE 161. (3)
INTRODUCTION TO COMPUTING. An overview of computing, with consideration given to its impact upon today's society. Topics may include history, applications, computer organization, programming languages, algorithms, and computability. A student cannot receive credit for Computer Science 161 if he has passed any other college course in Computer Science. Prerequisite: none. Offered: each semester.
COMPUTER SCIENCE 261. (4)
COMPUTER SCIENCE I. Discussion of algorithms, programs, and computers. Extensive work in the preparation, running, debugging, and documenting of programs. Problem-solving is emphasized. Prerequisite: none. Offered: each semester.
COMPUTER SCIENCE 262. (4)
COMPUTER SCIENCE II. A continuation of Computer Science 261 but with emphasis on language structures and applications of those structures not normally covered in a first course. Programming efficiency, documentation standards, and programming style are emphasized. Prerequisite: Computer Science 261. Offered: spring semester.
COMPUTER SCIENCE 308. (3)
PROGRAMMING LANGUAGES. A study of the design and implementation of programming languages. Concepts such as non-procedural languages, scope rules, data types and data sharing, control structures, block structure, recursion, storage management, formal specification of syntax and semantics, parsing, and interpreters. Prerequisite: Computer Science 262. Offered: fall semester of even-numbered years.
COMPUTER SCIENCE 321. (3)
CRYPTOGRAPHY. An introduction to both classical and modern methods of cryptography with emphasis on how classical number theory has been applied to problems of modern cryptography in recent years. Topics to include digital signatures, algorithms and protocols for public and private key cryptography, and systems for secure communications such as e-mail. Ethical and political issues having to do with secure communications are also discussed. Prerequisites: Computer Science 262 and Mathematics 262. Offered: spring semester of even-numbered years.
COMPUTER SCIENCE 331. (3)
COMPUTER GRAPHICS. This course covers the principles of two-dimensional and three-dimensional computer graphics, including the mathematical theory underlying those principles. Topics include the graphics pipeline, drawing basic shapes in two and three dimensions, linear transformations, meshes, clipping, shading, lighting, textures, and various graphics algorithms. Prerequisites: Computer Science 262 and Mathematics 141. Offered: fall semester of odd-numbered years.
COMPUTER SCIENCE 351. (3)
ARTIFICIAL INTELLIGENCE. A broad introduction to the field of Artificial Intelligence. Topics may be chosen from the Turing Test, expert systems, game playing, machine learning, neural networks, automated theorem proving, natural language understanding, and robotics. Programming languages for Artificial Intelligence, such as Lisp and Prolog, are also studied. Prerequisites: Computer Science 262 and Mathematics 262.
COMPUTER SCIENCE 361. (3)
COMPUTER ORGANIZATION. A machine-level view of computing. Topics may include computer arithmetic and data representation, assembly language programming and the assembly process, machine instruction sets, microprogramming and digital logic. Prerequisite: Computer Science 262. Offered: fall semester.
COMPUTER SCIENCE 362. (3)
DATA STRUCTURES AND ALGORITHMS. A continuation of the study of data structures begun in Computer Science 262, with emphasis on the analysis of algorithms associated with such structures. Topics to include data structures such as stacks, queues, trees, and graphs, algorithm design strategies and complexity analysis. Prerequisites: Mathematics 262 and Computer Science 361. Offered: spring semester.
COMPUTER SCIENCE 410. (3)
OPERATING SYSTEMS. An historical study of operating systems with an emphasis on how some classical problems of concurrency, such as mutual exclusion and deadlock, have been solved. Additional topics to be chosen from memory management, virtual storage organization, paging, segmentation, process management and scheduling, and interrupt handling. Prerequisite: Computer Science 361. Offered: spring semester of odd-numbered years.
COMPUTER SCIENCE 461. (3)
THEORY OF COMPUTING. An introduction to theoretical computer science. Abstract models of computers are used to help investigate the limitations of computing. Topics may include computability, complexity, automata, formal languages and grammars, and the Chomsky hierarchy. Prerequisite: Computer Science 362. Offered: fall semester.
COMPUTER SCIENCE 480. (3)
ADVANCED TOPICS IN COMPUTER SCIENCE. Topics may be chosen from among compiler design, symbolic computation, computational complexity, program verification and correctness, and database theory. Prerequisite: Computer Science 461, or consent of instructor. Offered: spring semester.