96 / FIELDS OF INSTRUCTION


BMS 6330-Virology (3) Nature of viruses and mechanisms of
viral infection: animal, bacterial, and plant viruses.
BMS 6352-Molecular Genetics (3-5) Molecular genetics,
including mutation, selection, transformation, transduction, con-
jugation, and episomal factors; molecular structure and func-
tion of genes.
BMS 6360-Experimental Microbiology (2-5; max: 8) Applica-
tion of physical, chemical, and biological techniques to experi-
mental problems in microbiology. Individual laboratory study
under supervision.
BMS 6930-Seminar (1; max: 12) S/U.
BMS 7931-Research Conference (1; max: 12) Critical discus-
sion and appraisal of research programs of faculty and students
of the department. S/U.
BMS 7932-Journal Colloquy (1; max: 12) Critical presenta-
tion and discussion of recent original articles in the
microbiological literature.


INDUSTRIAL AND SYSTEMS
ENGINEERING
College of Engineering
 GRADUATE FACULTY 1982-83
Chairman: D. J. Elzinga. Graduate Coordinator: D. W.
Hearn. Graduate Research Professor: R. E. Kalman. Pro-
fessors: J. F. Burns; B. L. Capehart; D. J. Elzinga; R. L;
Francis; D. W. Hearn; T. J. Hodgson; K. E. Kilpatrick;
R. S. Leavenworth; E. J. Muth; J. A. Nattress; B. D.
Sivazlian; R. W. Swain; D. B. Wilcox (Emeritus).
Associate Professors: M. Ariet; J. P. Krischer; J. F.
Mahoney; P. E. Valisalo (Emeritus). Assistant Professor:
S. Tufekci.
 The Department of Industrial and Systems Engineer-
ing offers the Master of Engineering and the Master of
Science, each with a thesis or nonthesis option, with
specialization in computer science, health systems, indus-
trial engineering, operations research, and systems
engineering. In addition, the department offers the
Engineer degree and the Doctor of Philosophy degree
with specialization in industrial engineering, operations
research, and systems engineering.
 A degree in one of the engineering disciplines or in
mathematics, statistics, or physics is prerequisite. Where
the student's background is deficient, an articulation pro-
gram of foundation courses will be required.
ECM 6260-Numerical Techniques for Linear Systems (3)
Prereq: linear algebra and calculus. Error and stability analysis,
Gaussian elimination, LU decomposition, iterative improvement,
eigenvalues and eigenvectors, operations count, nonlinear equa-
tions, integration, ordinary differential equations, approxima-
tion of functions. Other computationally oriented topics.
EIN 5244-Measurements in Bioengineering (2) Modern tech-
niques for measurements and quantification of physical, physio-
logical, and psychological responses of man to stimulus. Utiliza-
tion of these measurements in industrial, medical, and sports
fields.
EIN 6115-Information Systems (2) Introduction to informa-
tion theory and coding, document and reference retrieval, fact
and information retrieval, measures of effectiveness, mathe-
matical modes of retrieval systems, and schemes foe the storage
of information.
EIN 6246L-Human Factors Engineering (2) Prereq: course in
human engineering or perceptual psychology. Effects of human
factors on the performance of systems containing extensive man-
machine interactions.
EIN 6247-Man-Machine Systems Design (2) Prereq: EIN 6246L
or instructor's approval. Engineering design concepts of inter-
faces between man and machine.
EIN 6249-Behavior Systems Engineering (2) Prereq: EIN 6246L.
Behavioral and engineering principles underlying prediction and
management of human behavior, design of organization


systems, and development of synthetic behavior systems.
EIN 6318-Work Measurement Theory (3) Prereq: EIN 3314L,
ESI 6417, STA 4321. Systems of work measurement and work
methods. Comparison of systems.
EIN 6338-Advanced Production and Inventory Control (3)
Prereq: ESI 6417, 6429. Production planning and control; prob-
lem identification and formulation. Mathematical theory of
single- and multicommodity inventory systems; problem solv-
ing using dynamic programming and Markov chains.
EIN 6348-Mathematical Theory of Inventory (2) Prereq: ESI
6417, STA 6826. Mathematical theory of inventory systems.
Single- and multicommodity inventory problems analyzed as
problems in dynamic programming and as Markov decision
processes.
EIN 6357-Advanced Engineering Economy (3) Prereq: STA
4321. Economic analysis of capital expenditure decisions. Finan-
cial mathematics and microeconomics. Decision under risk and
uncertainty. Game theory and utility theory.
EIN 6358-Decision Theory (2) Prereq: ElIN6357, ESI 6417. For-
mulation of decision criteria and decision strategies in a proba-
bilistic environment. Industrial applications of input-output
analysis and von Neumann-Morgenstern utility theory. Statistical
decision functions.
EIN 6367-Facilities Layout and Location (3) Prereq: ESI 6417.
Planar and discrete layout problems and locations problems;
network location problems. Single- and multiobjectives. Indus-
trial and public sector applications.
EIN 6388-Statistical Forecasting Models (3) Prereq: ESI 4567,
STA 4322. Classification of models for forecasting; polynomial
and autoregressive models; the problem of smoothing; cross-
correlation and its use; the Box-Jenkins method; estimation of
model parameters; forecast error; analysis of industrial data.
EIN 6508-Health Systems Analysis I (3) Prereq: consent of
instructor. Introduction to quantitative analysis, total value
analysis, resource allocation techniques, stochastic service
systems, simulation, quality of care audits, and hospital con-
trol and management systems.
EIN 6509-Health Systems Analysis II (3) Prereq: EIN 6508.
Stochastic aspects of hospital and health systems and the influ-
ence of variability and uncertainty in health management
decisions.
EIN 6905-Special Problems (1-6; max: 9) Laboratory, lecture,
field work, or conferences.
EIN 6910-Supervised Research (1-5) S/U.
EIN 6918-Graduate Seminar (1) May be repeated for addi-
tional credit. S/U.
EIN 6939-Seminar in Applied Stochastic Processes (2) Prereq:
ESI 6546 or 6547 and consent of instructor. Lectures on ad-
vanced topics. Student presentation and discussion of research
papers. Development of research topics.
EIN 6940-Supervised Teaching (1-5) S/U.
EIN 6971-Research for Master's Thesis (1-15) S/U.
EIN 7933-Special Problems (1-6; max: 12) Laboratory, lec-
ture, field work, or conferences.
EIN 7980-Research for Doctoral Dissertation (1-15) S/U.
ESI 5125-Analog Simulation Techniques (3) Prereq: ES13123.
Amplitude and time scaling; generation of time functions; simula-
tion of closed loop systems; parameter identification; polar plots;
solution of differential equations; simulation of industrial systems;
testing model accuracy.
ESI 5135-Hybrid Computer Techniques (3) Prereq: ESI 3123.
Basic language principles; hardware usage; exponential
smoothing; mean value problems of stochastic data; generation
of time functions; Fourier analysis.
ESI 5236-Reliability Engineering (3) Prereq: ESI 4568, STA
4322. Mathematical models and methods of reliability engineer-
ing. Typical component failure distributions; system reliability
as a function of component reliability. Reliability block diagrams
and fault trees.
ESI 5309-Operations Research: A Survey of Techniques and
Applications (3)
ESI 5570-Digital Computer Techniques I (2) Prereq: CNM
3100, ESI4567. Numerical methods for dealing with linear and
nonlinear algebraic systems, eigenvalue and eigenvector prob-
lems, optimum seeking problems, and ordinary differential equa-
tions, including error, stability, and efficiency analysis.
ESI 5571-Digital Computer Techniques II (2) Prereq: ESI 5570.
Advanced techniques for solving integrodifferential equations,