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Course Criteria
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3.00 Credits
Analysis, design, and implementation of solutions to problems in manufacturing and service sectors using information technology. Emphasis on problem identification and the evaluation of proposed solutions and implementations. Term Project. Prerequisites: IE 220, 275.
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3.00 Credits
Exploration and critical analysis of theories, principles, and processes of effective leadership. Managing diverse teams, communication, and ethics associated with leadership. Application of knowledge to personal and professional life through projects and team assignments. (Junior or Senior)
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1.00 Credits
Application of problem solving to real enterprise systems projects. Emphasis on leadership, teamwork, design, and communication skills. Requires a written honors project report. Department permission required. Senior standing. May be repeated for credit. Several programs leading to master's and doctoral degrees are offered by the Department of Industrial and Systems Engineering. Each program has core requirements. Core requirements can be satisfied by previous coursework upon petition of the ISE graduate committee. All core course prerequisites must also be satisfied. Prerequisites may be satisfied by (1) previous course work, (2) completing the prerequisite course without graduate credit, or (3) passing the final examination of the prerequisite course with a grade of B or better. A Ph.D. student is required to complete core requirements with grades of B or better before being formally admitted to Ph.D. candidacy. Further information about graduate programs is contained in an ISE graduate brochure available from the department. In addition, documents are available from the department that describe the requirements of each graduate program. The minimum program for the master of science degree in IE consists of 24 credit hours of approved coursework and completion of a satisfactory thesis. Courses in other departments for which the student has the prerequisites may be integrated into the MSIE program. Subject to advisor approval, up to nine credit hours of 300 and 400-level courses from other departments may be included in the IE masters program. The other department courses usually include other engineering disciplines, mathematics, computer science, and business and economics. This program of study is for those students whose interests are toward engineering design rather than research. The program provides opportunity to gain greater breadth of field through 27 credit hours of coursework and a 3-credit hour project. See separate catalog listing under Information and Systems Engineering. See separate catalog listing under Information and Systems Engineering. See separate catalog listing under Management Science. This is an interdisciplinary graduate program leading to the master of science degree in manufacturing systems engineering. See separate catalog listing under Manufacturing Systems Engineering. See separate catalog listing under Quality Engineering. The graduate program leading to the doctor of philosophy (Ph.D.) degree is organized to meet the individual goals and interests of graduate students whose professional plans include teaching, consulting, or research in an educational, governmental, or industrial environment. Each doctoral candidate is required to demonstrate: (1) a high level of proficiency in one or more fields of industrial and systems engineering, and (2) a capacity for independent research through the preparation of a dissertation related to his/her field of specialization. This is to be facilitated as follows. A student must declare a primary and secondary field of study within ISE. The fields of study are: 1. Financial Engineering 2. Information Systems 3. Manufacturing, Production and Logistics 4. Optimization 5. Stochastic Processes and Applied Statistics Each field is defined by a set of core courses maintained by the department. A student must take at least four courses in his/her declared primary field, and at least two in his/her declared secondary field. Additionally, a student must declare a minor field of study outside the ISE department. Minor fields of study are subject to approval and may include Computer Science, Electrical Engineering, Economics, Finance, Marketing, Materials Science, Mathematics, and Mechanical Engineering. At least two 400-level courses in the minor department are required to satisfy the minor requirement (these may be included in primary/ secondary fields of study declared above). All Ph.D. students must complete the following core courses, taken in the first year of
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3.00 Credits
Applications of discrete and continuous simulation techniques in modeling industrial systems. Simulation using a high-level simulation language. Design of simulation experiments. This course is a version of IE 305 for graduate students, with research projects and advanced assignments. Prerequisites: IE 121 or IE 328 and IE 220 or equivalent.
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3.00 Credits
An intensive study of some field of industrial engineering.
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3.00 Credits
Techniques for the solution and analysis of deterministic linear models used in operations research. Linear programming, network flow, and integer linear programming. Emphasis on modeling techniques, algebraic modeling languages and commercial solvers.
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3.00 Credits
Philosophies and methods for systematic planning, development, and implementation of management information systems. Concepts of information resource management, and strategic and long-range planning of information systems and services. Prerequisite: IE 224 or ACCT 311 or equivalent.
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3.00 Credits
Theory and applications of an approach to process modeling, analysis, prediction, and control based on an ordered sequence of observed data. Single or multiple time series are used to obtain scalar or vector difference/ differential equations describing a variety of physical and economic systems. Prerequisite: IE 121 or equivalent.
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3.00 Credits
Experimental procedures for sorting out important causal variables, finding optimum conditions, continuously improving processes, and trouble shooting. Applications to laboratory, pilot plant and factory. Prerequisite: Some statistical background and experimentation in prospect, IE 121 or equivalent.
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3.00 Credits
This course examines the theory and applications of networks and graphs. Content of the course stresses on the modeling, analysis and computational issues of network and graph algorithms. Complexity theory, trees and arborescences, path algorithms, network flows, matching and assignment, primal-dual algorithms, Eulerian and Hamiltonian walks and various applications of network models. Prerequisite: IE 406 or equivalent.
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