Lyle School of Engineering
(2010 Undergraduate Catalog)
Engineering Management, Information and Systems
Richard S. Barr, Chair
Margaret H. Dunham (Computer Science), Jeffery L. Kennington, Stephen Szygenda, Jeff Tian (Computer Science). Associate Professors:
Richard V. Helgason, Eli V. Olinick, Jerrell Stracener. Assistant Professor:
Junfang Yu. Senior Lecturer:
Thomas Siems. Lecturers:
Leslie-Ann Asmus, Gretchen Coleman, Mary Alys Lillard. Adjunct Faculty:
Karl Arunski, Christopher Askew, John Baschab, Charles Beall, Robert Bell, William David Bell, Ann Broihier, Jean Chastain, George Chollar, Eric Cluff, Kevin Cluff, David Cochran, Howard Cowin, Gunter Daley, Christopher Davis, Peter DeLisle, Dennis Delzer, Matthew Durchholz, Dennis Frailey, Ganesh Harpavat, James Hinderer, Michael Hopper, Gerard Ibarra, Robert Jones, Jan Lyons, Dario Nappa, Robert Oshana, David Peters, Oscar K. Pickels, Jon Piot, James Rodenkirch, Christopher Rynas, Mark Sampson, Steven P. Sanazaro, Nandlal Singh, Stephen Skinner, Gheorghe Spiride, William Swanson, John Via, Daniel Wiebelhaus, John Yarrow, Hossam Zaki. Emeritus Professor:
U. Narayan Bhat (Statistics).
The Department of Engineering Management, Information and Systems 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. 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.
The same systems-oriented, mathematical-model-based approach that is the cornerstone of engineering also has powerful application within organizations and their operations. This is the field of management science – also termed "the science of better” – the discipline of applying advanced analytical methods to help make better decisions.
Management science deals with the development of mathematically based models for planning, managing, operating and decision-making. In the EMIS curriculum, these methods are also applied to the design and management of efficient systems for producing goods and delivering services.
A management scientist at a major airline would be concerned with building mathematical models to decide the best flight schedules, plane routes, and assignments of pilots and crews to specific flights and of flights to specific gates, as well as the best number of planes to own and operate, cities to fly to, cities to use as major hubs, layout for an airport terminal, overbooking policy, and location to refuel aircraft. Optimal and good usable solutions for such issues can be uncovered through analysis with computer-based mathematical models. The management scientist develops an understanding of a practical decision problem, then designs and constructs a model that incorporates data from the MIS department and produces a high-quality solution.
Because of its generality, management science has broad applications in all engineering disciplines and in the fields of computer science, economics, finance, marketing, medicine, logistics, production, information engineering and statistics. Management science methods are used extensively in industry and government, and SMU's EMIS program prepares the technically oriented student to excel in today's competitive business environment.
ABET, 111 Market Place, Suite 1050, Baltimore, MD 21202-4012 – telephone: (410) 347-7700, does not provide accreditation for the discipline of management science.
Note: All management science majors must receive a grade of at least C-
in all mathematics and major concentration courses taken in fulfillment of the requirements for the major.
The following is a typical schedule of classes for a management science major and takes into account course prerequisites and standard terms that individual classes are offered. Alternative schedules are possible and can be designed in consultation with the EMIS undergraduate adviser.
For information on a minor in management science, the student should consult the department. A total of 18 term credit hours 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
EMIS 5362 Production Systems Engineering
CSE 1341 Introduction to Computing Concepts
Plus one (1) of the following:
EMIS 3340 Statistical Methods for Engineers and Applied Scientists
EMIS 5370 Probability and Statistics for Scientists and Engineers
EMIS 4395 Senior Design
Because of the flexibility of the curriculum, a majority of management science majors choose to receive a second major or one or more minors from a wide range of other disciplines. Examples include a Bachelor of Science; a major in management science; or a second Bachelor's degree in economics, mathematics, business, computer science, history, psychology, Spanish or French.
Other management science majors continue their studies to obtain a Master’s of Science in Engineering Management, systems engineering, information engineering or operations research. The 4+1 Program permits management science majors 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's website: www.engr.smu.edu/emis.
EMIS faculty and advisers are also available to answer questions about the program.
Students in the EMIS Department have access to a wide range of computing facilities and networking equipment. The department manages three PC-based computing labs, including the Enterprise Systems Design Laboratory created for students in the senior design course. General-use UNIX and Linux machines (including eight-processor 64-bit Xeon workstations) provide advanced computing, analytical software and Web hosting to all engineering students. Windows- and Linux-based PCs and workstations are the primary desktop equipment. All computing facilities are networked via high-speed Ethernet, with Gigabit Ethernet connections to Internet 1, Internet 2 and the National Lambda Rail research network. Open computing labs and wireless services provide additional facilities access points for students.
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 computer science, computer engineering, or management science major or minor. Credit is not allowed for both EMIS 1305 and EMIS 1307.
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 instill 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 an 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 encountered in business and government today. Prerequisite:
Knowledge of college-level algebra. (Must enroll in lab.)
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. Credit is not allowed for both EMIS 2360 and EMIS 8361. Prerequisite: C-
or better in MATH 1337. (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:
3308. Engineering Management.
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. Credit is not allowed for both EMIS 3308 and EMIS 5351. Prerequisite:
3309. Information Engineering and Global Perspectives.
Examines global and information aspects of technology- and information-based companies. Prerequisite:
Junior standing. (Must enroll in lab.)
3340 (CSE 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.
3360. Operations Research.
A survey of deterministic models and methods of operations research in a variety of areas will be covered. Credit is not allowed for both EMIS 3360 and EMIS 8360. Prerequisite:
EMIS 1360. (Must enroll in lab.)
3361. Stochastic Models in Operations Research.
EMIS 3361 is the second course in a two-course sequence in Operations Research. It covers formulation and application of probabilistic and statistical models for solving problems in the design and management of efficient systems for producing goods and delivering services. Where appropriate, deterministic formulations for such problems addressed in EMIS 3360 are extended by modeling of uncertainty to provide additional information and insights useful to a planner or decision-maker beyond what they are able to attain when assuming only deterministic conditions. Prerequisites:
EMIS 3340 and 3360. (Must enroll in lab.)
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. A large project involving the design of a management system. Will include 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 Internship 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 are 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 Reliability, Supportability and Availability Analysis.
This course is an introduction to systems reliability, maintainability, supportability and availability (RMS/A) modeling and analysis with an application to systems requirements definition and systems design and development. Both deterministic and stochastic models are covered. Emphasis is placed on RMS/A analyses to establish a baseline for systems performance and to provide a quantitative basis for systems trade-offs. Prerequisite:
EMIS 5300 or equivalent.
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.
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.
5315. Systems Architecture Development.
A design-based methodological approach to system architecture development using emerging and current enterprise architecture frameworks. Topics include structured analysis and object-oriented analysis and design approaches; enterprise architecture frameworks, including the Zachman framework, FEAF, DoDAF and ANSI/IEEE-1471; executable architecture model approaches as tools for system-level performance evaluation and trade-off analyses; case studies in enterprise architecture development; and the integration of architecture design processes into the larger engineering-of-systems environment. Prerequisite:
5318. Systems Engineering Planning and Management.
This course provides a practical coverage of tasks, processes, methods and techniques to establish the process of systems engineering and its role in the planning and management of programs. The tasks and roles of program manager and systems engineer are unveiled for establishing program operations and a communications framework. Techniques are presented for developing an integrated program/project plan by defining the role of the systems integrator and identifying useful tools for planning and managing systems integration of various-sized projects. The student learns to prepare for and successfully complete key program milestone reviews by identifying essential material content and proving the design basis. The course leads the student through the systems development process by showing how to plan for and manage change by implementing methods for configuration, change and risk management. The program life cycle is concluded by planning the transition of systems engineering processes from development to production and field support. Prerequisite:
5320. Systems Engineering Leadership.
This course augments the management principles embedded in the systems engineering process with process design and leadership principles and practices. Emphasis is placed on leadership principles by introducing the underlying behavioral science components, theories and models. The course demonstrates how the elements of systems engineering, project management, process design and leadership integrate into an effective leadership system. Prerequisite:
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 testing and evaluation, and maintaining inherent system reliability during production and operation.
5335. Human-Systems Integration (HSI).
This course advances the understanding and application of cognitive-science principles, analysis-of-alternatives methods and engineering best practices for addressing the role of humans within the design of high-technology systems. In addition, HSI-specific processes (e.g., task-centered design; human-factors engineering; manpower, personnel and training; process analysis; and usability testing and assessment) are presented and discussed. Prerequisite:
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.
5347. Critical Infrastructure Protection/Security Systems Engineering.
This course presents systems engineering (SE) concepts as applied to the protection of the United States' critical infrastructure (CI). A top-level systems viewpoint provides a greater understanding of this system-of-systems (SOS). Topics include the definitions and advantages of SE practices and fundamentals; system objectives that include the viewpoint of the customer, user and other stakeholders; the elements of the CI and their interdependencies; the impact transportation system disruptions; and systems risk analysis. Prerequisites:
EMIS 5301 and EMIS 5303.
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. Credit is not allowed for both EMIS 3308 and EMIS 5351.
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.
Surveys the fundamentals of software engineering and database management systems (DBMS) for information engineers. 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.
5357. Decision-Support Systems.
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. Prerequisites:
EMIS 5360 and EMIS 3360 recommended but not required.
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:
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.
An 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, and introduction to probability or statistics.
5362. Production Systems Engineering.
This course applies the principles of engineering, or "design under constraint," to modern production systems. Topics include production systems analysis and design considerations, systems design and optimization models and methods, pull- and push-based production systems, quality engineering, process improvement, plus techniques for engineering and managing systems with specific architectures: batch-oriented, continuous-flow, project and just-in-time. 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 3340 or 5370.
5365. Program and Project Management.
Development of principles and practical strategies for managing projects and programs of related projects for achieving broad goals. Topics include planning, organizing, scheduling, resource allocation, strategies, risk management, quality, communications, tools, and leadership for projects and programs.
5366. Marketing Engineering.
Marketing engineering moves beyond traditional conceptual approaches to embrace the use of analytics, data, information technology and decision models to help organizations effectively reach customers and make marketing decisions. Designed for technical individuals, the course applies engineering problem-solving approaches and computer tools to solve marketing problems from today’s competitive work environment. Prerequisites:
EMIS 3340 or 5370, and EMIS 3360 or 8360 (or equivalent).
5369. Reliability Engineering.
An 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 3340 or 5370.
5377 (STAT 5377). Statistical Design and Analysis of Experiments.
An 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 3340 or 5370, and senior standing with a science or engineering major, or permission of instructor.
5380. Managing Information Technology Controls.
This course surveys current practices in information technology (IT) governance and controls, with approaches for balancing business needs with technology controls for high-risk processes. Major topic areas include introduction to technology controls, the process of IT governance, systems and infrastructure life-cycle management, IT delivery and support, and records management.
5382. Information Technology Security and Risk Management.
This course is for nontechnical managers and executives with decision-making responsibility in information security governance and risk management. Topics include information security organizations and policies, governance, program development and management, information risk management, legal and regulatory compliance, and business continuity planning.
5(1–3)9(0–4). Special Topics.
Individual or group study of selected topics in management science. Prerequisite:
Permission of instructor.