INDUSTRIAL AND SYSTEMS ENGINEERING / 195


 INDUSTRIAL AND SYSTEMS
 ENGINEERING
 (College of Engineering)
 GRADUATE FACULTY 1971-72
BRASWELL, R. N., Chairman; ARIET, M.; BURNS, J. F.; CAPEHART, B. L.;
DOMINIAK, K. E.; FRANCIS, R. L.; HEARN, D. W.; HICKS, P. E.; HODGSON,
T. J.; IRELAND, R. J.; KALMAN, R. E.; KHALIL, T. M.; KILPATRICK, K. E.;
LEAVENWORTH, R. S.; MAHONEY, J. F.; MARTINSON, E. P. (emeritus);
MILLER, D. R.; MUTH, E. J.; NATTRESS, J. A.; PROCTOR, C. L.; RATLIFF,
H. D.; ROBERTS, S. D.; SIVAZLIAN, B. D.; THOMAS, M. E.; TURVAVILLE, L. J.;
VALISALO, P. E.; WILCOX, D. B.
Graduate Coordinator: D. R. MILLER
 Prerequisite: A degree in one of the engineering disciplines, mathematics,
statistics, or physics. Where the student's background is deficient, an articula-
tion program of foundation courses will be required.
 In addition to offering master's degree programs, the Department of Indus-
trial and Systems Engineering offers the degrees of Engineer and Ph.D. with
tracks in industrial engineering, systems engineering, and operations research.
In order to guide himself toward a realistic self-assessment of his research in-
terests and capabilities, each Ph.D. student will initially prepare himself in
a common core area consisting of specified courses in statistics, mathematics,
optimization principles and methods, systems analysis, stochastic processes,
and digital computer technology.
 Special courses are offered for advanced graduate students under the ISE
696 and ISE 797 numbers. Courses such as Advanced Topics in Integer
Programming, Applied Stochastic Processes, Markovian Decision Processes,
Decomposition Techniques in Nonlinear Programming are typical of those
available to the student.
COURSES FOR ADVANCED UNDERGRADUATES AND GRADUATES
ISE 551-DIGITAL COMPUTING TECHNIQUES 1. 3 credits
ISE 552-DIGITAL COMPUTING TECHNIQUES 2. 3 credits
ISE 557-ANALOG SIMULATION TECHNIQUES. 3 credits
ISE 558-HYBRID COMPUTER TECHNIQUES. 3 credits
ISE 562-RELIABILITY ENGINEERING. 3 credits
 GRADUATE COURSES
 ISE 601-INTRODUCTION TO OPTIMIZATION THEORY. 3 credits
 Prerequisites: Linear algebra, advanced calculus. Conditions for maxima and
 minima of differentiable functions; unconstrained, equality constrained, and in-
 equality constrained functions.
 ISE 602-DYNAMIC PROGRAMMING. 3 credits
 Prerequisite: ISE 601. Characterization of multistage decision problems as a