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Department of Mathematics and Computer Science

William P. Abrams, Chair
Carol Clark, Secretary 

The Department of Mathematics and Computer Science offers courses leading to a major in mathematics and computer science, and minors in mathematics and computer science. It also offers courses which fulfill general education and Bachelor of Science degree requirements. Students are required to obtain a satisfactory score on a mathematics placement test prior to enrolling in a mathematics course. 

ASSESSMENT: The Department of Mathematics and Computer Science requires all majors to participate in any required assessment activities, including, as seniors, taking a comprehensive mathematics test and the senior seminar course. The purpose of the test is to assess the progress of the majors and the effectiveness of the program. 

Teaching Endorsement 

Students who are preparing to teach and who are majoring in fields other than mathematics may be endorsed to teach mathematics courses through Algebra I in grades 6 12.  See the Algebra I Endorsement below for details.  Students who are preparing to teach and who are majoring in fields other than computer science may be endorsed to teach computer science by minoring in computer science.

 MATHEMATICS PROGRAM 

Faculty

William P. Abrams, Ph.D., Associate Professor of Mathematics
John E. Arehart, Ed.D., Associate Professor of Computer Science and Mathematics
Sharon Emerson-Stonnell, Ph.D., Associate Professor of Mathematics
Jacqueline A. Hall, Ph.D., Assistant Professor of Mathematics
Robert D. May, Ph.D., Assistant Professor of Mathematics
E. T. Noone, Jr., Ed.D., Professor of Mathematics
Stanley J. McCaslin, M.S., Lecturer of Computer Science
Gary T. Nelson, Ph.D., Associate Professor of Mathematics Education
Jeffery H. Peden, Ph.D., Associate Professor of Computer Science
Robert P. Webber, Ph.D., Professor of Computer Science and Mathematics
Robert S. Wu, Ph.D., Associate Professor of Mathematics 

All mathematics majors are required to take a core of mathematics courses (MATH 261, 262, 300, 343, 361, and 371). The remaining courses will be selected from one of two concentrations -- pure mathematics, or applied mathematics/computer science. Mathematics majors who have completed Mathematics 262 may not enroll in a 100-level mathematics course.
    
While every attempt is made to state the requirements and concentrations available in the department as succinctly as possible, it is recommended that every student majoring or minoring in the department continue in close communication with the academic advisor assigned by the department in order to plan the program best suited to individual needs and goals.
    
Students desiring a minor in mathematics or computer science must successfully complete the appropriate program described below, and must see the Chair of the Department of Mathematics and Computer Science to declare officially a minor in either field. 

             MATHEMATICS MAJOR, B.A., B.S. DEGREE 

A. General Education Core Requirements/33 credits.
See General Education Requirements  
B. B.S. Degree Additional Degree Requirements/10 credits.
B.A. Degree Additional Degree Requirements/9 credits.
See Additional Degree Requirements 
C.   Major Requirements/39 credits.
All Majors
MATH 261 The Differential and Integral Calculus/4 credits
MATH 262 The Differential and Integral Calculus/4 credits 
MATH 300 A Transition to Advanced Mathematics/3 credits 
MATH 343 Linear Algebra/3 credits 
MATH 361 Calculus III/4 credits
MATH 371 Introduction to Probability and Statistics/3 credits
CHOOSE ONE
Concentration I (Pure Mathematics)
MATH 342 Introduction to Modern Algebra/3 credits 
MATH 335 Advanced Euclidean Geometry/3 credits  
or  MATH 336 Survey of Modern Geometries/3 credits 
MATH 462 Advanced Calculus/3 credits 
*Elective 300-400 level mathematics/6 credits
*Elective 300-400 level mathematics or computer science/3 credits
TOTAL 18 credits 

 

Concentration II (Applied Mathematics)  
MATH 405 Numerical Analysis/3 credits 
MATH 460    Differential Equations/3 credits  
MATH 472 Introduction to Mathematical Statistics/3 credits
CMSC 206 Data Structures in Advanced Programming/3 credits  
*Elective 300-400 level Mathematics/3 credits  
*Elective 300-400 level Mathematics or Computer Science/3 credits 
TOTAL 18 credits 

 

*Electives may not include:  
MATH 267 Applications of Calculus/4 credits 
MATH 271 Applied Statistics/3 credits  
MATH 309 Numeration Systems/3 credits  
MATH 310  Functions, Probability, and Statistics/3 credits  
MATH 313 Geometry and Reasoning/3 credits  
MATH 330 Integration of Mathematics and Science Principles/1.5 credits  
MATH 451 The Teaching of High School Mathematics/3 credits  
MATH 482 Directed Teaching in the Secondary School/11credits  
CMSC 300 may be substituted for MATH 300. It is recommended that Concentration One Majors take MATH 300. Both may be taken for credit.
D. Secondary Teaching Endorsement, grades 6-12/40 credits.
See professional education requirements:
Secondary Education Program
Add-On Endorsements

Additional endorsement requirement: 
MATH 245 History of Mathematics/2 credits
MATH 451 The Teaching of High School Mathematics/3 credits. 
E. General Electives (non-teaching majors)   -  38/39     
F. Total Credits Required for B.A., B.S. in Mathematics   -  122
Total Credits Required for B.S. in Mathematics with Secondary Teaching Endorsement   -  122 

For additional Endorsement to teach Computer Science, Minor in Computer Science/18 hours. See below.
For additional Endorsement to teach Algebra I (grades 6-12) complete Algebra I endorsement/25-26 credits.  See below.

Students seeking the B.A. degree must take 3 semester hours of one modern language at the 202 level or higher and choose the humanities elective from Literature, Philosophy, or Religion. Students seeking the B.S. degree must take CMSC 204 as their Mathematics or Computer Science elective.

MINOR IN MATHEMATICS 

MATH 261 The Differential and Integral Calculus/4 credits  
MATH 262 The Differential and Integral Calculus/4 credits 
**Electives: 300-400 level mathematics/6 credits
200-400 level computer science or mathematics/6 credits
TOTAL 20 credits 

 

**Electives may not include :
MATH 267 Applications of Calculus/4 credits  
MATH 271 Applied Statistics/3 credits  
MATH 309 Numeration Systems/3 credits  
MATH 310  Functions, Probability, and Statistics/3 credits  
MATH 313 Geometry and Reasoning/3 credits  
MATH 451 The Teaching of High School Mathematics/3 credits   
MATH 482 Directed Teaching in the Secondary School/11 credits

ALGEBRA I ENDORSEMENT 

Students who are preparing to teach and who are majoring in fields other than mathematics may be endorsed to teach mathematics courses through Algebra I in grades 6 12 by taking the courses listed below. 

MATH 164  Precalculus/3 credits  
MATH 181 Finite Mathematics/3 credits
or MATH 343 Linear Algebra/3 credits
MATH 261 The Differential and Integral Calculus/4 credits  
or MATH 267 Applications of Calculus/4 credits  
MATH 309    Numeration Systems/3 credits  
MATH 310 Functions, Probability, and Statistics/3 credits  
MATH 313 Geometry and Reasoning/3 credits
or MATH 335 Advanced Euclidean Geometry/3 credits  
MATH 451 The Teaching of High School Mathematics/3 credits  
CMSC 121 Introduction to Computer Science/3 credits
or CMSC 204 Introduction to Programming/3 credits  
TOTAL 25 credits

  MATHEMATICS COURSE DESCRIPTIONS 

General Education Courses *
Writing Intensive Course **
 

Mathematics 114. Mathematics for the Consumer. An introductory course designed to acquaint the student with the application of mathematics in the life of the consumer. Special attention will be given to the algebraic derivation of formulas, the reduction of real life situations to mathematical models, and the mathematics employed in banking, budgeting, credit, taxes, insurance, installment buying, annuities, stocks, bonds, and mortgages. 3 credits. 

Mathematics 121. Functions and Graphs. A study of polynomial, rational, exponential, logarithmic and trigonometric functions with emphasis on graphing techniques, algebraic and numerical properties and applications. Prerequisite: Two years of high school algebra or by placement. 3 credits. * 

Mathematics 164. Precalculus. A study of functions with an emphasis on exponential, logarithmic, and trigonometric functions in order to prepare the student for calculus. 3 credits. 

Mathematics 171. Statistical Decision Making. An elementary statistics course designed to show the student how statistics is used in problem solving and decision making. Topics include measures of central tendency and variability; elementary probability concepts; the binomial, normal and Chi-square distributions, correlation and regression; and hypothesis testing. Special emphasis is placed upon the proper use of statistics in real life situations. 3 credits. * 

Mathematics 181. Finite Mathematics. A study of discrete mathematical structures with applications primarily to business and economics. Topics will be selected from a review of sets; linear and quadratic functions; solving systems of linear equations using Gauss-Jordan elimination; matrix algebra; solutions of inequalities; linear programming, including the graphical methods and introduction to the simplex method; introductory probability; introduction to calculus; and mathematics of finance. 3 credits. 

MATHEMATICS 245. History of Mathematics. An introduction to the history of mathematics concentrating on the period from the Greeks through the 19th century. THe student will learn the historical development of many mathematical topics taught in middle and high school today. 2 credits.

Mathematics 261, 262. The Differential and Integral Calculus. A unified course dealing with the basic ideas of calculus and analytic geometry. Prerequisite for MATH 262: successful completion of 261. Students who do not make a C or better in 261 should have the consent of the chair before enrolling in 262. 4 credits. 

Mathematics 267. Applications of Calculus. A course designed for students in Business, Economics, and the Social and Life Sciences. The techniques of calculus are presented in an informal approach. Emphasis is on applications of the mathematical concepts of calculus, e.g., break-even analysis, optimization, spread of epidemics, population growth models. Credit will not be given in this course toward the mathematics major. Prerequisite: MATH 164 or equivalent. 4 credits. * 

Mathematics 271. Applied Statistics. Topics include measures of central tendency, probability distributions, measures of dispersion, correlation and linear regression, multiple linear regression, analysis of variance and covariance. The emphasis will be on linear modeling techniques to conduct hypothesis tests. Computer applications will be an integral part of the course. Knowledge of calculus will not be required. Credit will not be given toward the mathematics majors. 3 credits. 

MATHEMATICS 292.  Internship in Mathematics.  A semester-long, on-the-job learning experience designed to apply the principles of mathematics.  1-18 credits. 

Mathematics 295. Special Topics. Selected topics in mathematics. The topics may vary from semester to semester. May be repeated for credit when topics change. 1-3 credits. 

Mathematics 300. A Transition to Advanced Mathematics. An introduction to rigorous mathematical proof with focus on the properties of the real number system. Topics include elementary symbolic logic, mathematical induction, algebra of sets, relations, countability, algebraic and completeness properties of the reals. 3 credits. ** 

Mathematics 309. Numeration Systems.  A study of  different numeration systems. The development and characteristics of ancient numeration systems, base numeration systems and the real number system will be studied. Problem solving is emphasized. 3 credits. 

Mathematics 310. Functions, Probability and Statistics. Examines functions, probability and statistics in the context of real life situations and will include student investigations and hands on activities. Prerequisite:  MATH 309 and proficiency in computer spreadsheets, or permission of instructor.  3 credits. 

MATHEMATICS 311-312.  Studies Abroad.  Primarily intended for transfer of credit earned abroad in courses in mathematics.  1-18 credits. 

Mathematics 313. Geometry and Reasoning. A basic study of  polygons, polyhedra, measurement, transformational geometry, coordinate geometry, descriptive statistics, graphical methods and empirical and theoretical probabilities and their uses. 3 credits. 

Mathematics 330 (SCIENCE 330). Integration of Mathematics and Science Principles.  An inquiry into basic principles involved in the study of mathematics and science. Emphasis on measurement, use of manipulatives, inference, prediction, data analysis, and hypothesizing. For Liberal Studies Majors only. Students are required to take SCED 330 concurrently with this course. 1.5 credits each. 

Mathematics 335. Advanced Euclidean Geometry. A study of Euclidean geometry from a more advanced viewpoint. The methods and techniques of synthetic axiomatic geometry will be stressed through a study of logic and formal proof, constructions, higher Euclidean geometry, finite geometries, and non-Euclidean geometries. Prerequisite/corequisite: MATH 261. 3 credits. 

Mathematics 336. Survey of Modern Geometries. A study designed to widen and enlarge the horizons of the students through an examination of some of the geometric developments since the time of Euclid. The characteristics and interrelatedness of various geometries--topological, projective, affine, similarity, Euclidean, non-Euclidean and inversion--will be briefly examined through transformations. Prerequisite: MATH 300. 3 credits.

Mathematics 342. Introduction to Modern Algebra. Sets and mappings, integers, general algebraic systems, groups, rings, and fields. Prerequisite: MATH 300. 3 credits. 

Mathematics 343. Linear Algebra. A basic study of vector spaces, linear transformations, and their relationships to matrix algebra. Also included are determinants, isomorphism theorems, linear functionals, and dual spaces. Prerequisite: MATH 262 or consent of department chair. 3 credits. 

Mathematics 345. Number Theory. An introductory course in additive and multiplicative number theory. Included are topics such as: divisibility, prime numbers, congruences, residue systems, linear and quadratic congruences, Diophantine equations, quadratic residues, and number theoretic functions. Prerequisite/corequisite: MATH 342 or consent of instructor. 3 credits. 

Mathematics 350 (COMPUTER SCIENCE 350). Ethical Issues in Mathematics and Computer Science. Consideration of ethical implications of mathematics and computer science in society. Overview of ethical theory; case studies of situations illustrating ethical dilemmas. A knowledge of calculus and algorithms will be assumed. 1 credit. * 

Mathematics 351. Introduction to Topology. Topological spaces, continuous mappings, homeomorphisms, compactness, connectedness, metric spaces, and other selected topics in point set topology. Prerequisite: MATH 361. 3 credits. 

Mathematics 361. Calculus III. Advanced topics in calculus not considered in MATH 261, 262. Prerequisite: MATH 262. Students who do not make C or better in 262 should have consent of the chair before enrolling. 4 credits. 

Mathematics 371. Introduction to Probability and Statistics. Theory of probability; expected values of random variables; discrete and continuous probability distributions. Prerequisite: MATH 361. 3 credits.

MATHEMATICS 482.  Directed Teaching in the Secondary School. This course is required of all students seeking Secondary Teaching Licensure in Mathematics. Each student is assigned to work with a qualified cooperating teacher in a selected school setting. The student teacher will follow the schedule of the cooperating teacher. Prerequisite: Completion of all methods courses and a minimum cumulative GPA of 2.5. 11 credits.

MATHEMATICS 390.  Directed Study in Mathematics.  Individualized study; recommended only when material cannot be studied through existing course offerings.  Must have permission of department chair.  1-3 credits.  May be repeated as 391, etc.; no more than 6 credits. 

MATHEMATICS 392. Internship in Mathematics.  A semester-long, on-the-job learning experience designed to apply the principles of mathematics.  1-18 credits.

Mathematics 405. Numerical Analysis. An investigation of numerical techniques of approximation, matrix computations, integration, and differentiation with emphasis on the solution of non-linear equations, linear systems and differential equations. The course will require use of the computer. Attention will be given to the problems of rounding error, conditioning, and stability. Prerequisite: MATH 343, 361 and CMSC 204 or equivalent. 3 credits. 

Mathematics 435 (COMPUTER SCIENCE 435). Queuing Theory and Simulation. A course covering the basic mathematics of queuing systems and the principles of the computer simulation of queuing systems. Topics include M/M1, M/G/1, and G/M/1 queues, La-place and z-transforms, priority queuing, and basic computer simulation techniques. Prerequisite: CMSC 204 or equivalent, MATH 371.  3 credits. 

Mathematics 451. The Teaching of High School Mathematics. A study of current practices in high school mathematics teaching with emphasis on principles, techniques, and materials. Required for those planning to teach high school mathematics. 3 credits. 

Mathematics 460. Differential Equations. Primarily a study of ordinary differential equations of the first and second order with application to elementary work in mechanics and physics. Prerequisite: MATH 361. 3 credits. 

Mathematics 461. Senior Seminar. A capstone course for the mathematics major focusing on a historical perspective.  Emphasis will be on problem solving, connections between various branches of mathematics, and the historical development of mathematical structures.  In addition, students will be expected to research and present mathematical topics not covered in other courses.  Prerequisite: Mathematics Major and Senior Status. 3 credits. ** 

Mathematics 462. Advanced Calculus. A theoretical approach to the study of limits, continuity, differentials, derivatives, and integrals. Development of the real number system, elementary point set theory, functions of several variables, infinite series, and power series. Prerequisite: MATH 300, 361. 3 credits. 

Mathematics 472. Introduction to Mathematical Statistics. Distribution of functions of random variables; moments and moment generating functions; T, F and Chi-square distributions; limiting distributions; interval estimation; tests of hypotheses; the Central Limit Theorem; regression analysis; ANOVA. Prerequisite: MATH 361 and 371. 3 credits. 

Mathematics 481. Complex Analysis. An introduction to the fundamental concepts of complex analysis, including the complex plane, holomorphic functions, the exponential function, Cauchy integral formula, Taylor series, Laurent series, conformal maps, the notion of residues and some applications in physics. Prerequisite: MATH 361. 3 credits. 

Mathematics 490. Directed Study in Mathematics. Individualized study; recommended only when material cannot be studied through existing course offerings. Must have permission of department chair. 1-3 credits. May be repeated for no more than 6 credits. 

mathematics 492. Internship in Mathematics.  A semester-long, on-the-job learning experience designed to apply the principles of mathematics.  1-18 credits. 

Mathematics 495. Special Topics in Mathematics. Selected topics in mathematics. The topics may vary from semester to semester. May be repeated for credit when topics change. 1-3 credits. 

MATHEMATICS 498.  Honors Research in Mathematics.  Students conduct research in mathematics under the direction of a faculty member and the Senior Honors Research Committee.  May be repeated as 499.  3 credits. 

For Graduates and Advanced Undergraduates 

Mathematics 513. The Teaching of Probability and Statistics. This course is designed especially for teachers and will use an experiential, informal, activity-based approach. There will be hands-on activities and experiments relating empirical and theoretical probabilities. Quick descriptive statistics and new graphical methods will be presented. These techniques are useful in describing, comparing, exploring and interpreting sets of data. There will also be intuitive ideas from inferential statistics. 3 credits. 

Mathematics 595. Special Topics in Mathematics. 1-3 credits. Selected topics in mathematics. The topics may vary from semester to semester. May be repeated for credit when topics change. 1-3 credits. 

COMPUTER SCIENCE PROGRAM

Faculty

John E. Arehart, Ed.D., Associate Professor of Computer Science and Mathematics
Stanley J. McCaslin, M.S., Lecturer in Computer Science
Jeffery H. Peden, Ph.D., Associate Professor of Computer Science
Robert P. Webber, Ph.D., Professor of Mathematics and Computer Science 

While every attempt is made to state the requirements and concentrations available in the department as succinctly as possible, it is recommended that every student majoring or minoring in the department continue in close communication with the academic advisor assigned by the department in order to plan the program best suited to individual  needs and goals.
    
Students desiring a minor in computer science must successfully complete the appropriate program described below, and must see the Chair of the Department of Mathematics and Computer Science to officially declare a minor in this field. 

COMPUTER SCIENCE MAJOR, B.A., B.S. DEGREE 

A. General Education Core Requirements/33 credits.
See General Education Requirements  
B. B.A. Degree Additional Degree Requirements/9 credits.
B.S. Degree Additional Degree Requirements/10 credits.
See Additional Degree Requirements   
C. Major Requirements/59-82 credits.
CMSC 204  Introduction to Programming/3 credits  
CMSC 206 Data Structures in Advanced Programming/3 credits  
CMSC 300 Discrete Mathematics for Computer Science/3 credits
CMSC 301 Computer Organization and Assembler Language Programming/3 credits  
CMSC 306  Computer Organization/3 credits  
CMSC 308 Organization of Programming Languages/3 credits  
CMSC 310 Introduction to Operating Systems and Computer Architecture/3 credits  
CMSC 316 Object-Oriented Programming/3 credits  
CMSC 360 Computer Network Theory/3 credits  
CMSC 362 Theory of Databases/3 credits
CMSC 461  Seminar in Computer Science/3 credits  
ENGL 214 Technical Writing/3 credits  
MATH 261 The Differential and Integral Calculus/4 credits  
MATH 262 The Differential and Integral Calculus/4 credits  
MATH 271 Applied Statistics/3 credits    

 

Options. (Choose one)
Option One 12 credits  

Four courses, one of which must be any mathematics or computer science course at the 200 level or above, and the remaining three of which must be any computer science courses at the 300 level or above.  
Option Two 35 credits  
Secondary Teaching Endorsement, grades 6-12
See professional education requirements:
 Secondary Education Program
 Add-On Endorsements
 
Additional endorsement requirement:  
MATH 451  , The Teaching of High School Mathematics, 3 credits.  
MATH 300 may be substituted for CMSC 300. Both may be taken for credit.  
D.  General Electives Non-Teaching Majors:  B.A./B.S. degree with Option One   -  18/19       
E. Total Credits Required for B.A. or B.S. degree   -  120
Total Credits Required for B.A. or B.S. degree with Secondary Teaching Endorsement   - 124/125 

MINOR IN COMPUTER SCIENCE 

A minor in computer science shall consist of 18 credit hours of computer science courses, at least 12 hours of which must be at the 300 or 400 level. 

COMPUTER SCIENCE COURSE DESCRIPTIONS 

General Education *
Writing Intensive Course **
 

Computer Science 121. Introduction to Computer Science. An introduction to computer science for non-specialists. Basic computer architecture and design, storage formats, principles of computer operation, and algorithms. Application software that emphasizes the computer as a tool. 3 credits. * 

Computer Science 201. Beginning COBOL. An introduction to programming in a business-oriented language (COBOL) with emphasis on commercial applications and elementary concepts of file processing.  3 credits.

Computer Science 204. Introduction to Programming. An introductory course in computer science emphasizing programming and algorithm development. Topics will include basic language structures, assignment, iteration, control flow, language and programmer defined variable types, and basic data manipulation models. 3 credits. 

Computer Science 206. Data Structures in Advanced Programming. A one-semester course in advanced programming utilizing data structures and models. The course emphasizes advanced programming techniques in the manipulation of data structures. Prerequisite: CMSC 204. 3 credits. 

Computer Science 215. Introduction to Fortran. An overview of the FORTRAN programming language, with emphasis on applications to mathematics and science. Prerequisites: knowledge of another computer language. 3 credits. 

Computer Science 290. Self Study in Programming. Independent study of a specific programming language, its syntax and applications, based on prior study of programming languages in general. May not duplicate other language courses. Must be arranged with an instructor and approved by department chair before registering. May be repeated for credit with different languages. Prerequisite: CMSC 206. 1 credit. 

COMPUTER SCIENCE 292.  Internship in Computer Science.  A semester-long, on-the-job learning experience designed to apply the principles of computer science.  1-18 credits. 

Computer Science 295. Special Topics. Selected topics in computer science. The topics may vary from semester to semester. May be repeated for credit when topics change. 1-3 credits.

Computer Science 300. Discrete Mathematics for Computer Science. Topics in discrete mathematics used in computer science, including methods of proof, graphs, computability, and formal grammars. Prerequisites: CMSC 204 or 206. 3 credits.

Computer Science 301. Computer Organization and Assembler Language Programming. Assembler language programming; addressing techniques; internal storage structure; machine-level representation of instructions and data; sub-routines. Prerequisites: Computer Science 206 or consent of instructor. Fall only; 3 credits.

Computer Science 302. Data Abstraction Programming. A one-semester course in advanced programming utilizing the data abstraction programming paradigm. The course emphasizes advanced programming techniques used in the design, definition, and manipulation of abstract data types. Prerequisites: CMSC 206 (or equivalent) using a language of instruction other than C++ and CMSC 315 (or equivalent). Note: This course may not be taken for credit if credit has been received for CMSC 206 (or equivalent) using C++ as the language of instruction. 3 credits.

Computer Science 306. Computer Organization. The organization and structuring of the major hardware components of computers; the mechanics of information transfer and control within a computer system; standard computer architectures; the fundamentals of logic design. Prerequisite: CMSC 301. 3 credits.

Computer Science 308. Organization of Programming Languages. Topics include language and definition structure, data types and structures, control structures and data flow, run-time characteristics and lexical analysis and parsing. Programming assignments will involve the use of several different languages. Prerequisite: CMSC 206 or permission of instructor. 3 credits. **

Computer Science 310. Introduction to Operating Systems and Computer Architecture. Emphasis will be placed on concepts rather than case studies and on the interdependence of operating systems and architecture. Topics include instruction sets, I/O and interrupt structure, addressing schemes, microprogramming, memory management and recovery procedures. Prerequisite: CMSC 301. 3 credits.

COMPUTER SCIENCE 311,312.  Studies Abroad.  Primarily intended for transfer of credit earned abroad in courses in computer science.  1-18 credits.

Computer Science 316. Object-Oriented Programming. A course in the techniques of object-oriented programming in an object-oriented programming language. Topics covered include inheritance, function and operator overloading, object construction, visibility, information hiding, and multiple inheritance. Prerequisite: CMSC 206. 3 credits.

Computer Science 350. (MATHEMATICS 350). Ethical Issues in Mathematics and Computer Science. Consideration of ethical implications of mathematics and computer science in society. Overview of ethical theory; case studies of situations illustrating ethical dilemmas. A knowledge of calculus and algorithms will be assumed. 1 credit. * 

Computer Science 360. Computer Network Theory. A course covering the theory and design of modern computer networks. Topics include local and wide area networks, the OSI network model, basic network performance analysis, and real time networks. Prerequisite: CMSC 206. 3 credits.

 Computer Science 362. Theory of Databases. A course covering the theory and practice of modern databases design and implementation. Topics include relational and hierarchical database design, database query languages, update consistency, and distributed databases. Prerequisite: CMSC 206. 3 credits. ** 

Computer Science 389. Artificial Intelligence. An advanced theory and programming course covering the theory and techniques of artificial intelligence. Topics covered include computer vision, game playing, min-max algorithms, and an introduction to the LISP programming language. Prerequisite: CMSC 206. 3 credits.

COMPUTER SCIENCE 390.  Directed Study in Computer Science.  Individualized study; recommended only when material cannot be studied through existing course offerings.  Must have permission of department chair.  1-3 credits.  May be repeated as CMSC 391, etc.; no more than 6 credits.

COMPUTER SCIENCE 392.  Internship in Computer Science.  A semester-long, on-the-job learning experience designed to apply the principles of computer science.  1-18 credits.

Computer Science 408. Ada and Software Engineering. Syntax and semantics of the Ada programming language. Principles of Software Engineering. Prerequisites: CMSC 204 or 206. 3 credits.

Computer Science 415. Theory of Computation. The basic theories underlying computer science, such as language and automata theory, and the computability of functions. Emphasis is placed on the development of theoretical machine and language descriptions. Prerequisite: CMSC 300. 3 credits.

Computer Science 435 (MathEMATICS 435) Queuing Theory and Simulation. A course covering the basic mathematics of queuing systems and the principles of the computer simulation of queuing systems. Topics include M/M1, M/G/1, and G/M/1 queues, Laplace and z-transforms, priority queuing, and basic computer simulation techniques. Prerequisite: CMSC 204 or equivalent, MATH 371. 3 credits.

Computer Science 445. Compiler Design.  A course covering the basic theory and techniques of compiler and code translation systems. Topics include lexical analysis, parsing, and code generation, and the various techniques used when handling differing source language classes. A programming intensive course. Also covered are the techniques of top-down and bottom-up parsing. Prerequisite: CMSC 300. 3 credits.

Computer Science 452. Computers in Education. A survey of programming languages, software, and hardware commonly found in an educational setting. Prerequisite: CMSC 121 or consent of instructor. 3 credits.

Computer Science 461. Seminar in Computer Science. Students will work individually and in teams on the development, implementation, and maintenance of a large software project. This course is the capstone experience in the computer science major. A segment on assessment will be included. Corequisite: Satisfaction of all other requirements for the computer science major or consent of instructor. 3 credits. 

Computer Science 490. Directed Study in Computer Science. Individualized study; recommended only when material cannot be studied through existing course offerings. Must have permission of department chair. 1-3 credits. May be repeated for no more than 6 credits. 

COMPUTER SCIENCE 492.  Internship in Computer Science.  A semester-long on-the-job learning experience designed to apply the principles of computer science.  1-18 credits. 

Computer Science 495. Special Topics. Selected topics in computer science. The topics may vary from semester to semester. May be repeated for credit when topics change. 1-3 credits. 

COMPUTER SCIENCE 498.  Honors Research in Computer Science.  Students conduct research in computer science under the direction of a faculty member and the Senior Honors Research Committee.  May be repeated as 499.  3 credits. 

For Graduates and Advanced Undergraduates 

Computer Science 505. Computers in Mathematics Education.  Techniques and existing programs in computer-assisted instruction, computer-managed instruction, simulation and modeling. Offered on demand.  3 credits.

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