ENGINEERING MANAGEMENT, INFORMATION, AND SYSTEMS
Associate Professor Barr, Interim Chair
Professor: Kennington; Associate Professor: Helgason; Assistant Professor: Olinick; Senior Lecturer: Stracener; Lecturer: Lillard; Adjunct Faculty: Arunski, Dean, Gorman, Hinderer, Lacy, Pickels, Siems, Zaki.
The department offers an academic program in management science with an emphasis on computer models for decision-making. Faculty specializations include network optimization, mathematical programming, information engineering, systems engineering, logistics, quality control, reliability engineering, and engineering management.
Bachelor of Science — Major in Management Science (122 Term Credit Hours)
Students in the Department of Engineering Management, Information, and Systems (EMIS) have access to a wide range of facilities and equipment. The department’s computing environment has evolved into an Ethernet-based network of microcomputers and workstations. It now includes workstations from Sun Microsystems and Digital Equipment Corporation, and Compaq Computers.
curriculum in management science
Management Science deals with the development of mathematically based models for planning, operating, and decision-making. In our curriculum, these methods are also applied to the design and management of efficient production systems.
Using American Airlines as an example, a management scientist would be concerned with building models to decide the best scheduling of flights, routing of planes, assignment of pilots and crews to specific flights, and flight gate assignments, as well as deciding the best number of planes to own and operate, which cities to fly to, which cities to use as major hubs, how to lay out an airport terminal, which overbooking policy should be used, and other issues. The optimal decisions for such issues can be uncovered through analysis using computer-based mathematical models. Hence, the management scientist uses the data collected and managed by the MIS department in building his or her models.
Because of its generality, Management Science has a broad set of applications in all engineering disciplines and in the fields of computer science, economics, finance, marketing, medicine, transportation, production, and statistics, for example. The methods are used extensively in both the public and private sector.
Bachelor of science with a major in management Science
Area Required Courses TCH
Liberal Studies: ENGL 1301, 1302 6
Cultural Formations 6
(One Perspectives course or one Cultural Formations
course must satisfy the Human Diversity requirement.)
Mathematics: MATH 1337, 1338, 2339 (or CSE 3353), and 3353 12
EMIS 4340, 5377 6
Science: 3 TCH Natural Science from BIOL 1401, 1402,
CHEM 1113/1303, 1114/1304, 1113/1307,
1114/1308, GEOL 1301, 1305, 1308,
PHYS 1105/1303, 1106/1304 3
3 TCH Natural Science or Technology from
ANTH 2315, 2363; BIOL 1303, 1304, 1305,
1401, 1402; CHEM 1113/1303, 1114/1304,
1113/1307, 1114/1308; GEOL 1301, 1305, 1307,
1308, 1315; PHYS 1403, 1404, 1407, 1408;
EE 1301, 1381; ME 1301, 1302, 1303, 1304 3
9 TCH Natural Science, Technology, and/or Social
Science including ANTH, ECO, PSYC, or SOCI 9
Major Concentration: CSE 1341, 2341; EMIS 2360, 3360, 3365, 4395, 5362 21
3 TCH from EMIS courses at the 2000 level or above 3
Business: ACCT 2311, MKTG 3340, OBBP 3370 9
Broadening: EMIS 3150, 5304 4
Electives: Adviser must approve electives 17
Free Electives: Adviser must approve electives 6
MINOR IN MANAGEMENT SCIENCE
For information on a minor in management science, the student should consult the department. A total of 18 TCH in management science courses is necessary to meet the following requirements:
1. CSE 1341 Principles of Computer Science I
2. CSE 2341 Principles of Computer Science II
3. EMIS 2360 Engineering Economy
4. EMIS 3360 Operations Research Models
II. Elective Courses (two of the following; students must include one of EMIS 4395 or EMIS 5362):
1. EMIS 4340 Statistics for Engineers and Applied Scientists
2. EMIS 4395 Senior Design
3. EMIS 5362 Production Management
4. EMIS 5377 Statistical Design and Analysis of Experiments
the courses (EMIS)
1305. Computers and Information Technology. A survey course in computers and information technology that introduces the college student to the architecture of the personal computer, software, hardware, telecommunications, and artificial intelligence, as well as the social and ethical implications of information technology. The two-hour laboratory sessions reinforce the concepts learned in lecture, including a survey of word processing, spreadsheet, database management, presentation, and network software. Credit is not allowed for a CS, CpE, or MS major or minor.
2360. Engineering Economy. Evaluation of engineering alternatives by equivalent uniform annual cost, present worth, and rate-of-return analysis. Use of a computerized financial planning system. 0.5 TCH Design. Prerequisite: C- or better in MATH 1338 and a knowledge of finite probability. (Must enroll in lab.)
3150. Ethics in Computing. Computer professionals have a special responsibility to ensure ethical behavior in the design, development, and use of computers and computer networks. This course focuses on the education of the undergraduate through the study of ethical concepts and the social, legal, and ethical implications involved in computing. Issues to be studied include computer crimes, software theft, hacking and viruses, intellectual property, unreliable computers, technology issues in the workplace, and professional codes of ethics. Prerequisite: Junior standing.
3360. Operations Research. A survey of models and methods of operations research. Deterministic and stochastic models in a variety of areas will be covered. Credit is not allowed for both EMIS 3360 and EMIS 8360. Prerequisites: A knowledge of matrices. An introduction to probability and statistics. (Must enroll in lab.)
3365 (MATH 3315). Introduction to Scientific Computing. An elementary survey course that includes techniques for root-finding, interpolation, functional approximation, linear equations, and numerical integration. Special attention is given to C or FORTRAN programming, algorithm implementations, and library codes. Prerequisites: CSE 1341 and a grade of C- or higher in MATH 1338. Students registering for this course must register for an associated computer laboratory.
4340 (STAT 4340). Statistical Methods for Engineers and Applied Scientists. Basic concepts of probability and statistics useful in the solution of engineering and applied science problems. Topics: probability, probability distributions, data analysis, sampling distributions, estimations, and simple tests of hypothesis. Prerequisite: C- or better in MATH 1338.
4(1-4)9(0-4). Undergraduate Project. An opportunity for the advanced undergraduate student to undertake independent investigation, design, or development. Variable credit from one to four term hours. Written permission of the supervising faculty member is required before registration. At least 0.5 of (1-4) TCH Design.
4395. Senior Design. This course consists of a large project involving the design of a management system. The project will involve model building, data collection and analysis, and evaluation of alternatives. 3 TCH Design. Prerequisites: C- or better in EMIS 5362 and senior standing.
5300. Systems Analysis Methods. Introduction to modeling & analysis concepts, methods and techniques used in systems engineering, design of products and associated production & logistics systems and analysis of operational system performance. Specific Topics include: probabilistic & statistical methods, Monte Carlo Simulation, optimization techniques, applications of utility & game theory and decision analysis.
5301. Systems Engineering Process. The discipline, theory, economics, and methodology of systems engineering is examined. The historical evolution of the practice of systems engineering is reviewed, as are the principles that underpin modern systems methods. The economic benefits of investment in systems engineering and the risks of failure to adhere to sound principles are emphasized. An overview perspective distinct from the traditional design- and analytical-specific disciplines is developed.
5303. Integrated Risk Management. An introduction to risk management based upon integrated trade studies of program performance, cost, and schedule requirements. Topics include risk planning, risk identification and assessment, risk handling and abatement techniques, risk impact analysis, management of risk handling and abatement, and subcontractor risk management. Integrated risk management methods, procedures, and tools will be examined.
5304. Technical Communications. Both oral and written communications skills for engineers: engineering documents and writing standards, audience analysis, graphics, collaborative skills, and ethical issues. Prerequisite: Junior standing in engineering.
5305. Systems Optimization and Analysis. Emphasis is placed on the systems analysis process as the rational basis for developing optimum products consistent with customer requirements. Specific topics include requirements analysis, effectiveness analysis, operational analysis, environmental analysis, and life cycle analysis. Modeling and optimization techniques are introduced as necessary.
5306. Technical Entrepreneurship. Development of principles and practical strategies for the management and evolution of rapidly growing technical endeavors. Prerequisite: Junior standing.
5307. Systems Integration and Test. The process of successively synthesizing and validating larger and larger segments of a partitioned system within a controlled and instrumented framework is examined. System integration and test is the structured process of building a complete system from its individual elements and is the final step in the development of a fully functional system. The significance of structuring and controlling integration and test activities is stressed. Formal methodologies for describing and measuring test coverage, as well as sufficiency and logical closure for test completeness, are presented. Interactions with system modeling techniques and risk management techniques are discussed. The subject material is based upon principles of specific engineering disciplines and best practices, which form a comprehensive basis for organizing, analyzing, and conducting integration and test activities.
5308. Engineering Management. This course examines planning, financial analysis, organizational structures, management of the corporation (including its products, services, and people), transfer of ideas to the marketplace, and leadership skills. Prerequisite: Junior standing.
5309. Global Perspectives and Information Engineering. This course examines global and information aspects of technology- and information-based companies. Prerequisite: Junior standing.
5310. Systems Engineering Design. This course is an introduction to system design of complex hardware and software systems. Specific topics include design concept, design characterization, design elements, reviews, verification and validation, threads and incremental design, unknowns, performance, management of design, design metrics, and teams. The class will center on the development of real-world examples.
5320. Systems Engineering Management. Concepts, Processes, Best Practices, methods and Techniques for management of the systems engineering process from need, through concepts exploration, demonstration & validation, engineering and design and test & evaluation to ensure cost, schedule and technical performance. Specific Topics include: Systems Engineering Management Plan (SEMP) and Integrated Master Program Schedule (IMPS), Technical Performance Measures, Organizing for Systems Engineering, Integrated Product & Process Development (IPPD) and Supplier Evaluation, Selection & Control.
5330. Systems Reliability Engineering. An in-depth coverage of tasks, processes, methods and techniques for achieving & maintaining the required level of system reliability considering operational performance, Customer satisfaction and affordability. Specific topics include: Establishing System Reliability requirements, reliability program planning, system reliability modeling & analysis, system reliability design guidelines & analysis, system reliability test and evaluation, and maintaining inherent system reliability during production & operation.
5340. Logistics Systems Engineering. An introduction to concepts, methods and techniques for engineering and development of logistics systems associated with product production/manufacturing, product order and service fulfillment, and product/service/customer support, utilizing system engineering principles and analyses. Specific topics include: logistics systems requirements, logistics systems design & engineering concurrently with product and service development, transportation & distribution, supply/material support, supply web design & management and product/service/customer support.
5360. Management of Information Technologies. Defines the management activities of the overall computer resources within an organization or government entity. Consists of current topics in strategic planning of computer resources, budgeting and fiscal controls, design and development of information systems, personnel management, project management, rapid prototyping, and system life cycles.
5361. Computer Simulation Techniques. Introduction to the design and analysis of discrete probabilistic systems using simulation. Emphasizes model construction and a simulation language. 1.5 TCH Design. Prerequisites: Programming ability, introduction to probability or statistics.
5362. Production and Operations Management. A survey of models and methods for designing and implementing quality-based, integrated, production/distribution systems. Topics include demand forecasting, product mix decisions, distribution systems, facilities location and layout, scheduling, inventory and materials management, just-in-time, and quality control for manufacturing and service operations. Prerequisite: C- or better in EMIS 3360.
5364 (STAT 5344). Statistical Quality Control. A comprehensive introduction to the statistical quality‑control methods that underlie the modern quality revolution. Statistics and simple probability are used to develop control charts to monitor and improve the quality of an ongoing process, and for acceptance‑sampling plans (including MIL‑STD). Control charts for attributes, variables, and Cusum procedures are defined and applied to everyday problems in manufacturing and service businesses. Prerequisite: EMIS 4340 or 5370.
5369. Engineering Reliability. Topics include reliability, replacement and maintenance models, failure distributions and reliability functions, and process and product control problems. 1 TCH Design. Prerequisite: C- or better in EMIS 4340 or 5370.
5370 (STAT 5340). Statistical Probability and Statistics for Scientists and Engineers. Introduction to fundamentals of probability and distribution theory, statistical techniques used by engineers and physical scientists. Examples of tests of significance, operating characteristic curves, tests of hypothesis about one and two parameters, estimation, analysis of variance, and the choice of a particular experimental procedure and sample size. Prerequisite: C- or better in MATH 2339 or equivalent.
5377 (STAT 5377). Statistical Design and Analysis of Experiments. Introduction to statistical principles in the design and analysis of industrial experiments. Completely randomized, randomized complete and incomplete block, Latin square, and Plackett-Burman screening designs. Complete and fractional factorial experiments. Descriptive and inferential statistics. Analysis of variance models. Mean comparisons. Prerequisites and corequisites: C- or better in EMIS 4340 and senior standing with a Science or Engineering major, or permission of instructor.
5(1-3)9(0-4). Special Topics. Individual or group study of selected topics in management science. Prerequisite: Permission of instructor.