Associate Professor Richard S. Barr, Chair
Professors: Jeffrey L. Kennington, Stephen Szygenda, Margaret H. Duhnam (Computer Science); U. Narayan Bhat (Statistics), Marion Sobol (Business); Associate Professors: Richard V. Helgason, Jeff Tian (Computer Science); Assistant Professors: Eli V. Olinick; Senior Lecturers: Thomas Siems, Jerrell R. Stracener; Lecturer: Mary Alys Lillard; Adjunct Faculty: Karl Arunski, Leslie-Ann Asmus, William David Bell, Joseph H. Dean, Dennis Frailey, Ganesh L. Harpavat, James Hinderer, Gerard Ibarra, James A. Lacy, Eric O. Lentz, Gretchen Miller, Riad A. K. Mohammad, Augustyn Ortynski, David Peters, Oscar K. Pickels, Gheorghe Spiride, Wendy Spring, William Swanson, Hossam Zaki.
The Department of Engineering Management, Information and Systems (EMIS) brings together the school's technical management and operations areas to offer a Bachelor of Science with a Major in Management Science. This academic program in management science focuses on computer models for decision-making and the application of engineering principles and techniques to enhance organizational performance.
The same systems-oriented, mathematical-model-based approach -- that has been the cornerstone of engineering for decades -- has powerful applications within organizations and their operations. Faculty specializations include optimization, telecommunications network design and management, supply-chain systems, systems engineering, logistics, quality control, reliability engineering, information engineering, benchmarking, operations planning and management, network optimization, and mathematical programming. In other words, management science is where engineering meets business.
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. Usable or 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, logistics, production, information engineering, and statistics, for example. The methods are used extensively in both the public sector and industry. Hence the Management Science program prepares the technically oriented student to excel in today's competitive business environments.
|Liberal Studies:||ENGL 1301, 1302||
|(One Perspectives course or one Cultural Formations course must satisfy the Human Diversity requirement.)|
|Mathematics:||MATH 1337, 1338, and 3353||
|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 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
9 TCH Natural Science, Technology, and/or Social Science including ANTH, ECO, PSYC, or SOCI
|Major Concentration:||EMIS 1360, 2360, 3308, 3309, 3360, 4340, 4395, 5362; CSE 1341, 2341, 3365, 4360; ENCE 3302||
|3 TCH from EMIS courses at the 3000 level or above||
|Business:||ACCT 2311, MKTG 3340, MNO 3370||
|Electives:||Adviser must approve electives||
|TOTAL CREDIT HOURS||
Note: All Management Science majors must receive a grade of at least C- in all EMIS courses taken in fulfillment of the requirements for the major.
For information on a minor in management science, the student should consult the department. A total of 18 TCH in management and computer science courses is necessary to meet the following requirements:
EMIS 1360 Introduction to Management Science
EMIS 2360 Engineering Economy
EMIS 3360 Operations Research Models
EMIS 5362 Production and Operations Management
CSE 1341 Principles of Computer Science I
Plus one (1) of the following:
EMIS 4340 Statistics for Engineers and Applied Scientists
EMIS 4395 Senior Design
Because of the flexibility of the curriculum, a majority of Management Science majors receive a second major or one or more minors from a wide range of other disciplines. Examples include a Bachelor of Science, Major in Management Science, plus a second Bachelor's degree in: Economics, Mathematics, Business, Computer Science, History, Psychology, Spanish, and French.
Other Management Science majors continue their studies to obtain a Masters of Science in Engineering Management, Systems Engineering, Information Engineering, or Operations Research. The 4+1 Program permits students to obtain both undergraduate and graduate degrees in a shorter time and with fewer courses than if taken separately or from different universities.
More information on these and other options available to Management Science majors can be found on the EMIS Department web site. This is located at engr.smu.edu/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.
1307. Information Technology in Business. Today, computer literacy is essential to a career in any field, but nowhere is it more crucial than in the business field. This course focuses on the use of Information Technology in business. This course will explain the computer system, and the relationship of its parts to each other. It will define the terms used by technologists, and install an appreciation for the effect of information technology on our lives and livelihood. The lab component of the course introduces the student to major productivity software packages, provides the fundamental knowledge that is a requirement for a business major, and allows the student to explore the benefits that technology can bring. No credit for EMIS major or minor. Credit is not allowed for both EMIS 1305 and 1307.
1360. Introduction to Management Science. Management science is the application of mathematical modeling and scientific principles to solve problems and improve life in society. This introductory class shows how to develop plans, manage operations, and solve problems en-countered in business and government today. Prerequisite: knowledge of college-level algebra.
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. (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.
3308. 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, ethics, and leadership skills. Prerequisite: Junior standing.
3309. Information Engineering and Global Perspectives. This course examines global and information aspects of technology-and information-based companies. 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.)
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.
5050. Undergraduate Intership Program.
5300. Systems Analysis Methods. Introduction to modeling and analysis concepts, methods and techniques used in systems engineering, design of products and associated production and logistics systems and analysis of operational system performance. Specific topics include, probabilistic and statistical methods, Monte Carlo Simulation, optimization techniques, applications of utility and 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.
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.
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.
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 and validation, engineering and design and test and 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 and process development (IPPD) and supplier evaluation, selection and control.
5330. Systems Reliability Engineering. An in-depth coverage of tasks, processes, methods and techniques for achieving and 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 and analysis, system reliability design guidelines and analysis, system reliability test and evaluation, and maintaining inherent system reliability during production and 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 and engineering concurrently with product and service development, transportation and distribution, supply/material support, supply web design, and management and product/service/customer support.
5351. Enterprise Fundamentals. An overview of business fundamentals, spanning the range of all functional areas: management, marketing, operations, accounting, information systems, finance, and legal studies.
5352. Information System Architecture. The architecture of an information system (IS) defines that system in terms of components and interactions among those components. This course addresses IS hardware and communications elements for information engineers, including computer networking and distributed computing. It addresses the principles, foundation technologies, standards, trends, and current practices in developing an appropriate architecture for Web-based and non-Internet information systems.
5353. Information System Design Strategies. This course surveys the fundamentals of software engineering and database management systems (DBMS) for information engineers. It covers the principles, foundation technologies, standards, trends, and current practices in data-centric software engineering and systems design, including object-oriented approaches and relational DBMS. The focus is on system design, development, and implementation aspects, and not the implementation in code.
5355. Engineering Operations. The management of a technical organization's operations can contribute to the strategic goals and objectives of the enterprise. By analyzing and managing operations as systems, strategic choices are shown to drive design and operating decisions. The course covers the tools and techniques for solving problems to achieve the overall goals and strategies of manufacturing and services organizations.
5357. Decision-Support Systems. This course covers the development and implementation of a data-centric, decision-support system (DSS), the underlying technologies, and current applications and trends. Topics include: decision-making, DSS components, optimization models, expert systems, data mining and visualization, knowledge discovery and management, and executive information systems.
5359. Information Engineering Seminar. Topics in management of information in specific industries or application areas. May be repeated for credit when the topics vary. Prerequisite: EMIS 5360.
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 use of 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. An introduction to statistical quality-control methods that can be applied to meet the demand for ever-increasing levels of product and service quality. Basic methods and tools for analyzing, controlling, and improving product and service quality are covered. Probabilistic and statistical techniques are applied to modeling and analysis of variability associated with product production and service processes. Topics include analysis of product design tolerances, six-sigma techniques, statistical analysis of process capability, statistical process control using control charts, quality improvement, and acceptance sampling. Prerequisite: EMIS 4340 or 5370.
5369. Reliability Engineering. Introduction to reliability engineering concepts, principles, techniques, and methods required for design and development of affordable products and services that meet customer expectations. Topics include reliability concepts and definitions, figures-of-merit, mathematical models, design analysis and trade studies, reliability testing including types of tests, test planning and analysis of test results, and statistical analysis of reliability data. 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 for one or 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 co-requisites: 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.