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Associate Professor Richard S. Barr,
Chair
Professors: Jeffery L. Kennington, Stephen Szygenda, Margaret
H. Dunham (CSE), U. Narayan Bhat (statistics), Marion
Sobol (business). Associate Professors: Richard
S. Barr, Richard V. Helgason, Eli V. Olinick, Jeff Tian. Assistant
Professor: Junfang Yu. Scholar in Residence in EMIS:
Jerrell R. Stracener, Senior Lecturer: Thomas Siems. Lecturers: Mary
Alys Lillard, Gretchen Miller. Adjunct Faculty: Karl Arunski,
John D. Baschab, Robert L. Bell, William David Bell, Ann Broihier, Wassim
Chaar, Jean Chastain, George W. Chollar, Kevin D. Cluff, Howard Cowin, Gunter
Daley, Matthew L. Durchholz, Dennis Frailey, Ganesh L. Harpavat, James Hinderer,
Gerard Ibarra, Danielle Jarvie, Glen H. Lemon, John I. Lipp, Jan Lyons, Robert
S. Oshana, David Peters, Oscar K. Pickels, Jon C. Piot, Christopher Rynas,
Mark E. Sampson, Steven P. Sanazaro, Nand M. Singh, Gheorghe Spiride, William
Swanson, John W. Via III, John Yarrow.
Leaders need more than technical knowledge in today’s complex working world. EMIS programs develop leadership, engineering and management skills for success in technology-based organizations. The same systems-oriented, mathematical-model-based approach to design–which has been the cornerstone of engineering for decades–has powerful application within technology-based organizations.
The EMIS department offers four programs and six degrees to prepare graduates for leadership in their chosen career:
Engineering Management develops expertise in applying engineering principles to managing technology-based projects and people in technical roles.
Operations Research applies advanced analytical methods to help make better decisions. By using techniques such as mathematical modeling to analyze complex situations, operations research gives managers the power to make more effective decisions and build more productive systems.
Systems Engineering develops expertise for the creation and management of a complex system by viewing it as a whole, over its life cycle, using systems-engineering principles, methods and practices.
Information Engineering and Management provides the graduate with the tools to effectively engineer and manage the information flow of an organization by developing software, networking, hardware and technology-management skills.
The unifying theme of these efforts is 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 engineering, quality control, reliability engineering, information engineering, benchmarking, operations planning and management, network optimization and mathematical programming. Whether the graduate will be in a technology firm, the military or a not-for-profit organization, he or she will develop the essential technical and leadership skills in the engineering management, information and systems department.
Master of Science (major in operations research)
Master of Science (major in systems engineering)
Master of Science in engineering management
Master of Science in information engineering and management
Doctor of Philosophy (major in operations research)
Doctor of Engineering (major in engineering management)
Courses for these programs are offered both on-campus and off-campus via several remote-delivery systems. Master’s degrees may be completed through distance education via on-line video, as may most of the coursework for doctoral degrees. See the Off-Campus Education section for more information on distance education delivery systems.
The department of engineering management, information and systems (EMIS) also offers:
These offerings are described below. For the most up-to-date information on EMIS programs and activities, see the departmental Web site at engr.smu.edu/emis.
Director: Richard S. Barr
Faculty: Narayan Bhat, Richard Helgason, Jeffery Kennington, Eli Olinick, Thomas Siems, Jerrell Stracener, Junfang Yu. Adjunct Faculty: Gheorghe Spiride, Wassim Chaar.
Operations research is the study of technical and analytical tools for management decision making. The growth of the field is closely linked to developments in computing capabilities. The analyst must have a solid working knowledge of computers to manage and process enormous amounts of information vital to the daily activities of a modern complex organization. The program is designed to prepare graduates for industrial and governmental opportunities in management consulting, transportation, telecommunications, aerospace, defense, manufacturing, logistics and the service industries.
In addition to meeting the School of Engineering admission requirements for a Master of Science degree, applicants are required to satisfy the following additional requirements:
In addition to meeting the School of Engineering degree requirements for a Master of Science degree, candidates are required to satisfy the following additional requirements:
1. Satisfactory completion of one of the following probability and statistics courses:
EMIS 7370 (STAT 5430) Probability and Statistics for Scientists and Engineers
EMIS 7377 (STAT 5377) Statistical Design and Analysis of Experiments
and the following three core courses:
EMIS 7362 Production Systems Engineering
EMIS 8360 Operations Research Models
EMIS 8371 Linear Programming
2. Satisfactory completion of three of the following depth courses:
EMIS 7361 Computer Simulation Techniques
EMIS 8361 Engineering Economics and Decision Analysis
EMIS 8372 (STAT 6372) Queueing Theory
EMIS 8373 Integer Programming
EMIS 8374 Network Flows
EMIS 8378 Optimization Models for Decision Support
EMIS 8380 Mathematics for Optimization
EMIS 8381 Nonlinear Programming
3. Satisfactory completion of nine term credit hours from a second area. These concentration courses must be from the same area and must be approved by the adviser. Acceptable areas are optimization, systems engineering, engineering management, information engineering, computer science, mathematics, statistics, telecommunications and other engineering disciplines. Sample concentration areas (with example courses for selection of three) are as follows:
Optimization
EMIS 8373 Integer Programming
EMIS 8374 Network Flows
EMIS 8378 Optimization Models for Decision Support
EMIS 8380 Mathematics for Optimization
EMIS 8381 Nonlinear ProgrammingSystems Engineering
EMIS 7300 Systems Analysis Methods
EMIS 7301 Systems Engineering Process
EMIS 7303 Integrated Risk Management
EMIS 7305 Systems Reliability, Supportability and Availability Analysis
EMIS 7307 Systems Integration and TestEngineering Management
EMIS 7360 Management of Information Technologies
EMIS 8361 Engineering Economics and Decision Analysis
EMIS 8362 Engineering Accounting
EMIS 8363 Engineering Finance
EMIS 8364 Engineering ManagementInformation Engineering
EMIS 7351 Enterprise Fundamentals
EMIS 7352 Information System Architecture
EMIS 7353 Information System Design Strategies
EMIS 7357 Decision Support Systems
EMIS 7360 Management of Information Technologies
Director: Jerrell Stracener
Faculty: Richard Barr, Narayan Bhat, Richard Helgason, Jeffery Kennington, Eli Olinick, Jeff Tian, Junfang Yu. Adjunct Faculty: Karl Arunski, Robert L. Bell, William Bell, Ann Broihier, George William Chollar, Kevin D. Cluff, Howard Cowin, Gunter Daley, James Hinderer, Gerard Ibarra, Jan Lyons, Robert Oshana, Mark E. Sampson,.
The goal of systems engineering is the development and management of systems (products and services) that satisfy customer requirements considering engineering, technology, environmental, management, risk and economic factors by viewing the system as a whole over its life cycle. Systems engineering is also the practice of “good engineering.”
Through systems engineering and related courses, the student gains a foundation in systems engineering plus exposure to a variety of topics such as reliability, quality, logistics/supply webs, operations research, engineering management, software engineering, telecommunications and environmental engineering. “Systems thinking” skills are developed, and these skills foster more effective practice for the engineer or engineering manager within the business enterprise. The systems engineering program’s objective is to make the student a better engineer and manager by imparting an enhanced understanding of the impact of engineering decisions.
The program has been developed in response to the growing need by industry and government for engineers who are not only specialists in a particular area, but who have a systems perspective in order to more effectively practice engineering and manage within the business enterprise. The program offers flexibility for: (1) systems engineers who are entering the field, updating skills or acquiring new skills, (2) engineers who need to acquire a broadening of their technical and management education from a systems perspective, (3) engineers with upper-level management aspirations and (4) engineering students seeking to increase their market value by acquiring knowledge and skills necessary for engineering of products and services from a systems perspective.
The systems engineering program is designed to build on engineering/technical education and experience while developing problem definition and problem solving skills.
In addition to meeting the School of Engineering admission requirements for a Master of Science degree, applicants are required to satisfy the following additional requirements:
In addition to meeting the School of Engineering degree requirements for a Master of Science degree, candidates are required to satisfy the following additional requirements:
1. Satisfactory completion of the core curriculum encompassing five courses:
EMIS 7300 Systems Analysis Methods
EMIS 7301 Systems Engineering Process
EMIS 7303 Integrated Risk Management
EMIS 7305 Systems Reliability, Supportability and Availability Analysis
EMIS 7307 Systems Integration and Test
2. Satisfactory completion of one of the following tracks:
Systems Engineering Technology Track
Satisfactory completion of the following five courses:EMIS 7310 Systems Engineering Design
EMIS 7312 Software Systems Engineering
EMIS 7320 Systems Engineering Leadership
EMIS 7330 Systems Reliability Engineering
EMIS 7340 Logistics Systems EngineeringSystems Engineering and Design Track
Satisfactory completion of any five of the following courses:CSE 7365 (MATH 5315) Introduction to Numerical Analysis
CSE 7376 Introduction to Telecommunications
EE 7360 Analog and Digital Control Systems
EE 7362 (ME 7302) Systems Analysis
EE 7370 Communication and Information Systems
EE 7374 Digital Image Processing
ME 7331 Advanced Thermodynamics
ME 7357 Optimized Mechanical Design
ME 7358 Design of Electronic Packaging
ME 8361 (EE 8361) Multivariable Control System DesignLogistics and Supply-Chain-Management Track
Satisfactory completion of the following three courses:EMIS 7330 Systems Reliability Engineering
EMIS 7340 Logistics Systems Engineering
EMIS 7362 Production Systems Engineering Plus any two of the following courses: EMIS 7364 (STAT 5344) Statistical Quality Control
EMIS 7369 Reliability Engineering
EMIS 8360 Operations Research Models
EMIS 8361 Engineering Economics and Decision Analysis
EMIS 8378 Optimization Models for Decision SupportSystems Engineering Application Track
Satisfactory completion of five electives, with the approval of the student’s academic adviser, in one of the following concentrations (The concentration must be in a different field from the undergraduate major.):Computer Engineering
Computer Science
Electrical Engineering
Engineering Management
Environmental Engineering
Information Engineering and Management
Mechanical Engineering
Manufacturing Engineering
Operations Research
Software Engineering
Systems Engineering
Telecommunications
Director: Eli Olinick
Faculty: Richard Barr, Richard Helgason, Jeffery Kennington, Mary Alys Lillard, Thomas Siems, Jerrell Stracener, Stephen Szygenda, Junfang Yu. Adjunct Faculty: John Baschab, Kevin D. Cluff, Ganesh Harpavat, Jan Lyons, David Peters, Oscar K. Pickels, Jon C. Piot, Steven P. Sanazaro, Gheorghe Spiride, John W. Via III.
The Master of Science in engineering management (MSEM) was developed for individuals who have an undergraduate technical degree and are or will be rising through management or starting their own company. The engineering management degree is designed to impart essential knowledge for today and tomorrow’s technology-driven business.
The MSEM program develops expertise in the traditional graduate business areas–finance and accounting–along with pace-setting, innovative electives in information engineering, global perspectives, leadership and entrepreneurship. This well-rounded approach prepares individuals for success in the new world of techno-business with its challenges and opportunities.
A special feature of the engineering management program is its interaction with allied areas such as operations research, mathematics, science, engineering, computer science and statistics. Excellent faculty members from these areas participate in the department’s activities, and students take courses from several areas depending upon their interests.
In addition to meeting the School of Engineering admission requirements for a Master of Science degree, applicants are required to satisfy the following additional requirement:
In addition to meeting the School of Engineering degree requirements for a Master of Science degree, candidates are required to satisfy the following additional requirements:
1. Satisfactory completion of the following eight core courses:
EMIS 8360 Operations Research Models
EMIS 8361 Engineering Economics and Decision Analysis
EMIS 8362 Engineering Accounting
EMIS 8363 Engineering Finance
EMIS 8364 Engineering Management
EMIS 7301 Systems Engineering Process
EMIS 7362 Production Systems Engineering
EMIS 7370 (STAT 5430) Probability and Statistics for Scientists and Engineers
2. Satisfactory completion of two elective courses, approved by the adviser, in EMIS, computer science, engineering, mathematics or statistics.
Director: Richard S. Barr
Faculty: Margaret H. Dunham, Richard Helgason, Jeffery Kennington, Mary Alys Lillard, Eli Olinick, Thomas Siems, Jerrell Stracener, Stephen Szygenda, Jeff Tian, Junfang Yu. Adjunct Faculty: John Baschab, William David Bell, Dennis Frailey, Robert Oshana, Jon C. Piot, Steven P. Sanazaro, Gheorghe Spiride, John Yarrow.
Information Engineering is the blending of engineering principles and best business practices to create and manage high-quality, effective and possibly strategic information infrastructures for an organization. The Master of Science in information engineering and management (MSIEM) curriculum, designed in consultation with industry, covers topics in computer and telecommunications hardware and software, systems engineering, operations research, entrepreneurship and engineering management. It develops students’ technical and managerial expertise in information technology and its design and application.
In addition to meeting the School of Engineering admission requirements for a Master of Science degree, applicants are required to satisfy the following additional requirement:
In addition to meeting the School of Engineering degree requirements for a Master of Science degree, candidates are required to satisfy the following additional requirements:
The M.S. IEM course requirements are structured in four pedagogical groups, and students are encouraged to schedule their degree, by group, in the following order.
1. Foundational courses on enterprise and information systems fundamentals (nine term credit hours)
EMIS 7351 Enterprise Fundamentals
EMIS 7352 Information System Architecture
EMIS 7353 Information System Design Strategies
2. Foundational courses on concepts to the construction of information systems and the management of operations (six term credit hours)
EMIS 7360 Management of Information Technologies
EMIS 7362 Production Systems Engineering
3. Depth courses, advanced information engineering for strategic systems and managerial decision support (six term credit hours)
EMIS 8356 Information Engineering and Global Perspectives
EMIS 7357 Decision-Support Systems
4. Focus courses, for broadening or specialization to specific interests, applications or industries. A nine term credit hour elective set, approved by the adviser, which can include:
EMIS 8358 Technical Entrepreneurship
EMIS 7359 Information Engineering Seminar
Other EMIS, computer science or engineering courses
In addition to the seven courses required for the MSIEM (EMIS 7351, 7352, 7353, 7357, 7360, 7362 and 8356), the following electives form an IT governance and controls track within the M.S.I.E.M:
EMIS 7312 Software Systems Engineering
EMIS 7380 Managing Information Technology Controls
EMIS 7382 Information Technology Security and Risk Management
This degree track aligns the M.S.I.E.M: with the industry-standard ISACA International Model Curriculum and is only the fourth such degree offered in the United States. It prepares students for a career as an information system auditor or manager. The worldwide shortage of Certified Information System Auditors and Certified Information Security Managers is critical. In North Texas alone, more than 1,500 openings for information technology risk managers or information technology auditors wait to be filled. Prospective IT auditors and IT risk management analysts who obtain the necessary training and certifications can reasonably expect to find immediate, stable, high-income employment opportunities.
SMU’s School of Engineering permits its graduate students to take advantage of degree-requirement overlaps to acquire a second Master’s degree by taking as few as six courses (18 term credit hours). This is available for prospective and current graduate students, as well as alumni who have already received a M.S. from SMU.
The following guidelines must be followed by students wishing to receive two M.S. degrees:
With careful planning, a student can develop an advanced education strategy leading to multiple degrees, including M.S. EM, M.S. (SE), M.S. (OR) and M.S. IEM. combinations. Students apply and file degree plans for both degrees, and then complete the coursework. For example programs of study for obtaining two EMIS Master’s degrees, see the EMIS department Web site at engr.smu.edu/emis.
Students pursuing dual degrees must be admitted into each degree program separately. A separate application form and statement of purpose must be submitted for each, as follows:
To apply for both degrees simultaneously, the student must include a note indicating that he or she is “applying for a second Master’s,” and a single application fee and set of transcripts will be required.
If the student is already enrolled in one program, he or she must submit an application form and statement of purpose for the second degree, along with a note indicating that he or she is applying for (not a requesting a transfer to) a “second Master’s program.”
The SMU School of Engineering’s executive Master’s degrees are two-year programs developed for rising and prospective technical managers who have technical undergraduate degrees and are moving up through management or starting their own company. It is a cohort weekend program that is restricted to a highly motivated group of area professionals and designed to impart essential knowledge for today and tomorrow’s technology-driven organizations.
The fast-track engineering management program develops expertise in applying engineering principles to managing technology-based projects and people in technical roles. This well-rounded approach prepares individuals for success in the new world of the technology-driven enterprise with its challenges and opportunities.
The systems engineering program develops expertise for the creation and management of complex systems (products and services) that satisfy customer requirements in considering engineering, technology, environmental, management, risk and economic factors by viewing the system as a whole over its life cycle, using systems-engineering principles, methods and practices.
The information engineering and management program provides the graduate with the tools to effectively engineer and manage the information flow within an organization. The curriculum is comprised of 10 courses, ranging from software, networking and hardware courses to courses in information-handling, management and system-level considerations.
As a tool for recruitment and retention, each of these degrees can be an ideal reward or incentive device to help companies attract and keep top talent. And, best of all, the program is extremely cost-efficient, priced below other comparable programs. For more information on all of the EMIS executive Master’s programs, see the department Web site at engr.smu.edu/emis.
1. Master’s degree in engineering, mathematics, computer science, economics or a related technical field from a U.S. college or university accredited by a regional accrediting association or completion of an international degree that is equivalent to a U.S. Master’s degree from a college or university of recognized standing
2. Excellent academic performance in all completed coursework, with a minimum G.P.A. of 3.00 on a 4.00 scale
3. Previous coursework that includes satisfactory completion of at least nine credit hours of calculus, three hours of linear algebra and three hours of computer programming in a high-level language (Typically, a Bachelor of Business Administration does not provide sufficient background.)
4. Submission of a complete application, including a statement of purpose, official transcripts for all previous undergraduate and graduate studies and payment of appropriate application fee
5. Official Graduate Record Examination (GRE) test results with a minimum 80th-percentile quantitative score
6. Three letters of recommendation from individuals who can judge the applicant’s potential success as a doctoral student
7. Graduates from foreign countries are required to submit a notarized financial certification form. All international students whose native language is not English and who have not graduated from an American university must submit a minimum TOEFL score before being considered for admission as follows:
In addition to meeting the School of Engineering requirements for the Doctor of Philosophy degree, candidates are required to satisfy the following:
1. A minimum of 54 term credit hours beyond the baccalaureate degree, plus 24 term credit hours of dissertation credit. Required courses are:
MATH 5316 Numerical Linear Algebra
EMIS 7361 Computer Simulation Techniques
EMIS 7362 Production Systems Engineering
EMIS 7370 (STAT 5340) Probability and Statistics for Scientists and Engineers
EMIS 7377 (STAT 5377) Design and Analysis of Experiments
EMIS 8360 Operations Research Models
EMIS 8361 Engineering Economics and Decision Analysis
EMIS 8372 (STAT 6372) Queueing Theory
EMIS 8371 Linear Programming
EMIS 8373 Integer Programming
EMIS 8374 Network Flows
EMIS 8378 Optimization Models for Decision Support
EMIS 8380 Mathematics for Optimization
2. The 54 term credit hours also must include a 12 term credit hour minor. Acceptable minors include systems engineering, engineering management, information engineering, computer science, mathematics, statistics, economics, telecommunications or another engineering area. The courses for the minor must be different from the required courses, except for MATH 5316, which can be part of a minor in mathematics.
3. Satisfactory completion of the preliminary counseling examination, an oral exam covering operations research fundamentals. Skills tested include those developed in these courses: EMIS 7362, 7370, 8360 and 8361. This exam should be taken after the student has completed 18 term credit hours.
4. Satisfactory completion of the doctoral qualifying examination. This exam should be taken after the majority of the coursework has been completed.
5. Satisfactory completion and defense of the doctoral dissertation
Systems Engineering
EMIS 7301 Systems Engineering Process
EMIS 7303 Integrated Risk Management
EMIS 7305 Systems Reliability, Supportability and Availability Analysis
EMIS 7307 System Integration and TestEngineering Management
EMIS 7360 Management of Information Technologies
EMIS 8362 Engineering Accounting
EMIS 8363 Engineering Finance
EMIS 8364 Engineering ManagementInformation Engineering
EMIS 7351 Enterprise Fundamentals
EMIS 7352 Information System Architecture
EMIS 7353 Information System Design Strategies
EMIS 7360 Management of Information Technologies
In addition to the five steps below, process details and other requirements for the Doctor of Philosophy degree may be found elsewhere in the SMU School of Engineering Graduate Catalog.
1. Basic Coursework: Upon entry into the Ph.D. program, a student is assigned an academic adviser. The adviser will examine the student’s prior background and current state of knowledge and then recommend courses to be taken in preparation for Step 2.
2. Preliminary Counseling Exam and Program of Study: To be eligible for advanced study, a student must demonstrate competence in operations research fundamentals by passing the preliminary counseling examination (PCE). This exam is oral and is administered by three faculty members. Particular emphasis will be given to the material covered in the following courses: EMIS 7362, 7370, 8360 and 8361.
3. Appointment of Supervisory Committee and Advanced Coursework: Upon completion of the PCE, the student develops a proposed program of study that meets the degree requirements in Section II and includes the planned advanced coursework. Based upon the proposed program of study, a supervisory committee is formed. The supervisory committee makes any needed adjustments to the program of study. Changes in the program of study are subject to approval by the supervisory committee. Step 3 requires completion of the forms Recommendation and Certification of Appointment of Supervisory Committee and Doctoral Degree Plan. (All forms are available for downloading at engr.smu.edu/emis.)
4. Qualifying Examination: At or near the completion of the coursework, the supervisory committee conducts the qualifying examination. This exam ordinarily involves a series of take-home exams, but the format is left to the discretion of the supervisory committee. The qualifying examination is concluded by an oral exam at which time the student is expected to present a proposal for the dissertation. A written proposal must be given to the supervisory committee prior to the oral exam. Upon passing this exam, the student is admitted to doctoral candidacy. Step 4 requires completion of the form Admission to Candidacy.
5. Dissertation Defense: The most distinguishing characteristic of a program leading to the Ph.D. degree is the requirement that the candidate write a dissertation embodying the results of a significant and original investigation. The dissertation must make a real contribution to the operations research discipline, and it is expected to be a mature and competent piece of writing. The defense, which is conducted orally, must enable the supervisory committee to satisfy itself that the dissertation is an original piece of research work, that it has been carried out in keeping with the highest standards of investigation and reporting and that it makes a contribution to knowledge that is of value to the scientific community. Satisfactory performance on this defense constitutes the last academic requirement to be met for the Ph.D. degree. Step 5 requires completion of the form Report on Thesis or Dissertation and/or Final Examination.
This degree is designed to provide students with preparation to meet doctoral standards in an applied science or engineering practice. Applied science as a focus for the doctoral degree refers to the study of advanced theory and its application to a practical problem in order to test and verify performance limitations.
The degree requires a high level of expertise in the theoretical aspects of relevant scientific principles and experience with details of the implementation of theory on realistic problems. Engineering practice as a focus for the degree is the study of different aspects that play a role in the transfer of technology, from its inception in research to the intended engineering environment, as well as relevant economic issues. (For information on general degree requirements, see the separate “Doctor of Engineering Degree” section of this catalog.)
1. Master’s degree in a technical area from a U.S. college or university accredited by a regional accrediting association or completion of an international degree that is equivalent to a U.S. Master’s degree from a college or university of recognized standing
2. Excellent academic performance in all completed coursework, with a minimum G.P.A. of 3.00 on a 4.00 scale
3. Submission of a complete application, including a statement of purpose, official transcripts for all previous undergraduate and graduate studies and payment of appropriate application fee
4. Official Graduate Record Examination (GRE) test results with a minimum 80th-percentile quantitative score
5. Three letters of recommendation from individuals who can judge the applicant’s potential success as a doctoral student
6. Graduates from foreign countries are required to submit a notarized financial certification form. All international students whose native language is not English and who have not graduated from an American university must submit a minimum TOEFL score before being considered for admission as follows:
7. Approval of the director of the engineering management graduate program
In addition to meeting the School of Engineering requirements for the doctor of engineering degree, candidates are required to satisfy the following:
1. Twenty-four term hours of engineering management. These hours must come from graduate-level courses in quantitative and qualitative aspects of managing in a modern technical environment. Courses in the areas of engineering management, management science, operations research, operations management, production management and other related fields may qualify.
2. Eighteen term hours in a technical specialty. These hours must be taken in an engineering or other technical area consistent with anticipated doctoral work demands.
3. Nine term hours of business/economics. These hours must come from courses in a graduate program. They should expand the student’s understanding of the economic issues and problems relating to the transfer and management of technology.
4. Fifteen term hours of electives. All elective hours must come from graduate-level courses and must be approved by the advisory committee. These courses should, in some way, complement and strengthen the student’s degree plan.
5. Twelve term hours of praxis. These hours must
be taken in residence. The student enrolls for these hours in the course of
preparing the praxis project.
The following courses, or their equivalents, are included in the degree plan:
Engineering Management
EMIS 7362 Production Systems Engineering
EMIS 8361 Engineering Economics and Decision Analysis
EMIS 8362 Engineering Accounting
EMIS 8363 Engineering Finance
EMIS 8364 Engineering ManagementOperations Research
EMIS 8360 Operations Research Models
EMIS 8378 Optimization Models for Decision Supportand one of the following:
EMIS 8371 Linear Programming
EMIS 8373 Integer Programming
EMIS 8374 Network FlowsStatistics
EMIS 7370 (STAT 5340) Probability and Statistics for Scientists and Engineers
EMIS 7377 (STAT 5377) Statistical Design and Analysis of Experiments
A course may not be counted toward more than one category. The minor requirements may be satisfied by transfer credit.
6. Satisfactory completion of the preliminary counseling examination. An oral exam covering degree fundamentals. The exam should be scheduled after the student has taken courses in production systems engineering, engineering management, engineering economics and decision analysis and operations research models, but before 24 term hours have been completed. Questions are drawn predominantly from the graduate courses EMIS 7362, 8360 and 8361. If the student fails the exam, he or she may retake it once. Since the goal of the exam is to detect weaknesses in the student’s background, the examiners may grant a conditional or partial pass. Such a pass indicates that the student’s weaknesses can be overcome by taking specific courses. In this situation, the student need not retake the exam but will be required to take one or more courses and achieve a grade of B or better.
7. Satisfactory completion of the doctoral qualifying examination.
8. Satisfactory completion and defense of the doctoral praxis.
The systems engineering certificate series is a subset of the systems engineering M.S. degree program, designed for the engineering professional seeking education to support focused career objectives. It presents a series of steps for acquiring basic systems-engineering knowledge and skills, followed by education in one or more focus areas. Each certificate is comprised of selected graduate-level courses from the systems-engineering curriculum, which can form the foundation of a subsequent Master’s degree.
1. A Bachelor of Science in engineering, mathematics or one of the quantitative sciences. A minimum G.P.A. of 3.00 on a scale of 4.00 in previous undergraduate and graduate study.
2. A minimum of two years of college-level mathematics, including at least one year of calculus
3. Students not meeting these requirements may be admitted on a conditional basis and required to take articulation (bridging) courses (for undergraduate credit).
Completion of the courses specified for the individual certificate with a minimum G.P.A. of 3.00 on a scale of 4.00 for those courses
The three tiers are as follows:
1. Core curriculum. A student may earn two certificates by successfully completing prescribed courses that comprise the core courses of Master of Science degree with a major in systems engineering. The certificates are:
Certificate in Systems Engineering Fundamentals. Designed to provide the student a thorough understanding of the fundamentals of systems engineering, it consists of three courses: EMIS 7301, EMIS 7303 and EMIS 7307.
Certificate in Systems Analysis. Designed to provide the student a variety of systems analysis methods with selected application to system analyses and optimization, it consists of two courses: EMIS 7300 and EMIS 7305.
2. Specialty curricula. After completing the core curriculum, the student may take additional courses to earn specialty certificates. The certificates are: certificate in systems design and development (EMIS 7310 and EMIS 7312) and certificate in reliability and logistics systems engineering (EMIS 7369 or EMIS 7330 and EMIS 7340). Each of these certificate programs comprises two courses beyond the core and gives the student a thorough understanding in a focus area. Additional certificates may be defined as new courses are added.
3. Master’s degree. The student may apply for admission to the Master’s degree at any point in the certificate series. After admission, graduate courses successfully completed in the certificate series may be applied toward the Master’s degree as applicable.
Certificate in Systems Engineering Fundamentals (nine term credit hours)
EMIS 7301 Systems Engineering Process
EMIS 7303 Integrated Risk Management
EMIS 7307 Systems Integration and TestCertificate in Systems Analysis (six term credit hours)
EMIS 7300 Systems Analysis Methods
EMIS 7305 Systems Reliability, Supportability and Availability AnalysisCertificate in Systems Design and Development (six term credit hours)
EMIS 7310 Systems Engineering Design
EMIS 7312 Software Systems EngineeringCertificate in Reliability and Logistics Systems Engineering (six term credit hours)
EMIS 7369 Reliability Engineering or EMIS 7330 Systems Reliability Engineering
EMIS 7340 Logistics Systems Engineering
SMU’s EMIS department offers a series of certificates in information engineering and management. Each certificate consists of selected graduate-level courses from the Masters of Science in information engineering and management degree program (M.S. IEM) and can form the foundation of a subsequent Master’s degree.
The certificates are:
Certificate in Information Engineering Fundamentals is designed to provide the student a thorough understanding of the fundamentals of information engineering and management and consists of three courses: EMIS 7351, EMIS 7352 and EMIS 7353.
Certificate in Information Engineering and Management is designed to provide the student training in strategies and decision-support methodologies and consists of three courses: EMIS 7360, EMIS 8356 and EMIS 7357.
Certificate in Information Technology Governance and Controls provides an extensive background in IT governance and IT controls topics and consists of three courses: EMIS 7360, EMIS 7380 and EMIS 7382.
Master’s degree. The student may apply for admission to the Master’s degree program at any point in the certificate series. After admission, graduate courses successfully completed in the certificate series may be applied toward the Master’s degree as applicable.
Admission to a certificate program requires the applicant to have:
Individual certificates require completion of the specified courses with a minimum grade-point average of 3.00 on a scale of 4.0:
Certificate in Information Engineering Fundamentals (nine term credit hours):
EMIS 7351 Enterprise Fundamentals*
EMIS 7352 Information System Architecture*
EMIS 7353 Information System Design StrategiesCertificate in Information Engineering Strategy (nine term credit hours):
EMIS 7360 Management of Information Technology*
EMIS 8356 Information Engineering and Global Perspectives*
EMIS 7357 Decision-Support Systems*Certificate in Information Technology Governance and Controls (nine term credit hours):
EMIS 7360 Management of Information Technology*
EMIS 7380 Managing Information Technology Controls
EMIS 7382 Information Technology Security and Risk Management*Required for the Master of Science in information engineering and management degree
Certificates are issued following completion of the certificate requirements and submission of the required administrative forms.
7300. 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. Includes probabilistic and statistical methods, Monte Carlo simulation, optimization techniques, applications of utility and game theory and decision analysis.
7301. Systems Engineering Process. The discipline, theory, economics and methodology of systems engineering. A review of the historical evolution of the practice of systems engineering and the principles that underpin modern systems methods. Emphasis on the economic benefits of investment in systems engineering and the risks of failure to adhere to sound principles. Develops an overview perspective distinct from the traditional design- and analytical-specific disciplines.
7303. Integrated Risk Management. An introduction to risk management based upon integrated trade studies of program performance, cost and schedule requirements. Includes risk planning, risk identification and assessment, risk handling and abatement techniques, risk impact analysis, management of risk handling and abatement and subcontractor risk management. Examines integrated risk management methods, procedures and tools.
7305. Systems Reliability, Supportability and Availability Analysis. 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. Covers both deterministic and stochastic models. Emphasis on RMS/A analyses to establish a baseline for systems performance and to provide a quantitative basis for systems tradeoffs. Prerequisites: EMIS 7300 or equivalent.
7307. System Integration and Test. The process of successively synthesizing and validating larger and larger segments of a partitioned system within a controlled and instrumented framework. 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. Stresses the significance of structuring and controlling integration and test activities. Presents formal methodologies for describing and measuring test coverage, as well as sufficiency and logical closure for test completeness. Discusses interactions with system modeling techniques and risk management techniques. 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.
7310. Systems Engineering Design. An introduction to system design of complex hardware and software systems. Includes design concept, design characterization, design elements, reviews, verification and validation, threads and incremental design, unknowns, performance, management of design, design metrics and teams. Centers on the development of real-world examples.
7312 (CSE 7312). Software Systems Engineering. Focuses on the engineering of complex systems that have a strong software component. For such systems, software often assumes functions previously allocated to mechanical and electrical subsystems, changing the way systems engineers must think about classical systems issues. Provides a framework for addressing systems engineering issues by focusing on the Software Engineering Institute’s Systems Engineering Capability Maturity Model (SE-CMM). Includes deriving and allocating requirements, system and software architectures, integration, interface management, configuration management, quality, verification and validation, reliability and risk.
7315. Systems Architecture Development. A design-based methodological approach to system architecture development using emerging and current enterprise architecture frameworks. Includes 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 tradeoff analyses; case studies in enterprise architecture development and the integration of architecture design processes into the larger engineering-of-systems environment. Prerequisite: EMIS 7301.
7318. Systems Engineering Planning and Management. 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 for establishing program operations and communications framework. Techniques 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 covered by planning the transition of systems engineering processes from development to production and field support. Prerequisite: EMIS 7301.
7320. Systems Engineering Leadership. Augments the management principles embedded in the systems engineering process with process design and leadership principles and practices. Emphasis on leadership principles by introducing the underlying behavioral science components, theories and models. Demonstrates how the elements of systems engineering, project management, process design and leadership integrate into an effective leadership system. Prerequisite: EMIS 7301.
7330. 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. Includes 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.
7331 (CSE 7330). File Organization and Database Management. A survey of current database approaches and systems and of principles of design and use of these systems. Query language design and implementation constraints. Applications of large databases. A survey of file structures and access techniques. Use of a relational database management systems (DBMS) to implement a database design project. Prerequisite: CSE 3358.
7335. Human-Systems Integration (HSI). 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; usability testing and assessment). Prerequisite: EMIS 7301.
7340. 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, using system engineering principles and analyses. Includes 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.
7347. Critical Infrastructure Protection/Security Systems Engineering. 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). Includes the definition 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 of transportation system disruptions and systems risk analysis. Prerequisites: EMIS 7301 and EMIS 7303.
7350 (CSE 7350). Algorithm Engineering. Algorithm design techniques. Methods for evaluating algorithm efficiency. Data structure specification and implementation. Applications to fundamental computational problems in sorting and selection, graphs and networks, scheduling and combinatorial optimization, computational geometry and arithmetic and matrix computation. Introduction to parallel algorithms. Introduction to computational complexity and a survey of NP-complete problems. Prerequisite: CSE 3358.
7351. 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 7351 and EMIS 8364.
7352. Information System Architecture. The architecture of an information system (IS) defines that system in terms of components and interactions among those components. Addresses IS hardware and communications elements for information engineers, including computer networking and distributed computing. Also, the principles, foundation technologies, standards, trends and current practices in developing an appropriate architecture for Web-based and non-Internet information systems.
7353. Information System Design Strategies. The fundamentals of software engineering and DBMS for information engineers. The principles, foundation technologies, standards, trends and current practices in data-centric software engineering and systems design, including object-oriented approaches and relational DBMS. Focuses on system design, development and implementation aspects, not on the implementation in code.
7357. Decision-Support Systems. The development and implementation of a data-centric, decision-support system (DSS), the underlying technologies and current applications and trends. Includes decision making, DSS components, optimization models, expert systems, data mining and visualization, knowledge discovery and management and executive information systems. Prerequisite: EMIS 7360. EMIS 8360 is recommended but not required.
7359. 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 7360.
7360. 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.
7361. Computer Simulation Techniques. Introduction to the design and analysis of discrete probabilistic systems using simulation. Emphasizes model construction and a simulation language. Prerequisites: Programming ability and introduction to probability or statistics.
7362. Production Systems Engineering. Applies principles of engineering, or “design under constraint,” to modern production systems. Includes production systems analysis and design considerations, systems design and optimization models and methods, pull- and push-based production systems, quality engineering and process improvement, plus techniques for engineering and managing systems with specific architectures: batch-oriented, continuous-flow, projects and just-in-time. Prerequisite: EMIS 8360 recommended.
7363. Applied Parallel Programming. Surveys the theory and emphasizes the practice of developing efficient applications software for parallel computers. Includes a survey of parallel processing architectures and machines, elements of parallel programming (process creation, synchronization, communication, and scheduling), alternative parallel programming schemes (languages and language enhancements) and implementation of scientific and industrial applications. Prerequisite: FORTRAN or C programming.
7364 (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. Probabilistic and statistical techniques as applied to modeling and analysis of variability associated with product production and service processes. 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 (STAT 4340) or EMIS 5370 (STAT 5340).
7365. Program and Project Management. Development of principles and practical strategies for managing projects and programs of related projects for achieving broad goals. Includes planning, organizing, scheduling, resource allocation, strategies, risk management, quality, communications, tools and leadership for projects and programs.
7369. 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. Includes 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. Prerequisite: EMIS 4340 (STAT 4340) or EMIS 5370 (STAT 5340).
7370 (STAT 5340). Probability and Statistics for Scientists and Engineers. An introduction to fundamentals of probability, probability distributions and statistical techniques used by engineers and physical scientists. Includes basic concepts and rules of probability, random variables, probability distributions, expectation and variance, sampling and sampling distributions, statistical analysis techniques, statistical inference–estimation and tests of hypothesis, correlation and regression and analysis of variance. Prerequisite: MATH 2339.
7377 (STAT 5377). 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 experiments. Descriptive and inferential statistics. Analysis of variance models. Mean comparisons. Prerequisites: EMIS 4340 (STAT 4340) and senior-standing with a science or engineering major or permission of the instructor.
7380. Managing Information Technology Controls. Current practices in information technology (IT) governance and controls, with approaches for balancing business needs with technology controls for high-risk processes. Includes introduction to technology controls, the process of IT governance, systems and infrastructure life cycle management, IT delivery and support and records management. Prerequisite: EMIS 7360.
7382. Information Technology Security and Risk Management. Designed for IT managers and executives with decision-making responsibility in information security governance and risk management. Includes information security organizations and policies, governance, program development and management, information risk management, legal and regulatory compliance and business continuity planning. Prerequisite: EMIS 7360.
8098. Seminar. Seminars and colloquia given by the resident faculty and invited guests in various specialized, as well as general, topics in operations research, engineering management, systems engineering and information engineering.
8305. Systems Life Cycle Cost and Affordability Analysis. Provides an understanding of systems affordability concepts and the life cycle cost process. Examines the importance of using these concepts in optimizing engineering/business decisions with emphasis being placed on the evaluation of alternatives weighing costs, risks, reliability, maintainability, supportability, weight, performance and other benefit/risk parameters. Includes total ownership cost, estimating methods and techniques, cost analysis process, system trade studies, sensitivity analysis, risk analysis and simulation and system cost effectiveness. Prerequisites: EMIS 7301, 7303 and 7305.
8307. Systems Test and Evaluation. An in-depth coverage of the test and evaluation (T&E) techniques that have evolved in response to the increasing complexity and interdependency of systems. Examines types of testing (developmental, operational, etc.) as well as the tailoring of testing based on the end user (commercial, military). Covers the T&E process, from requirements analysis through test conduct and reporting, as well as the various types of associated documentation. Also, test techniques associated with different disciplines (such as software, reliability, human factors). The course concludes with a review of the best practices in systems T&E. Prerequisites: EMIS 7301 and EMIS 7307.
8310. Collective System Design. The design of sustainable and robust systems within organizations. Collective system design (CSD) enhances Lean and Six Sigma based implementations to ensure long-term sustainability and robustness. Some people call the collective system design methodology and principles “next generation Lean” as it applies systems engineering principles to the design of organizational processes and systems. Applies the design to a wide range of commercial and governmental systems in the areas of manufacturing, product engineering, contract and program management, service industries and business systems. A class project with a local business or agency enables students to practice the application of CSD. Prerequisites: EMIS 7301, EMIS 7310 and EMIS 8342.
8315. Innovation in Systems Design. A foundation of modern theory and practice of product innovation in three parts. First, a review of the typical barriers to disruptive innovation: technological, organizational and market-driven. Second, cases of fast innovation with a focus on systems and technology. Third, the system engineer’s role in innovation with such methods as quality function deployment (QFD), axiomatic design, the theory of inventive problem solving (TRIZ) and basic intellectual property protection. The students will practice methods and explore and develop disruptive innovation in a class project. Prerequisites: EMIS 7301 and EMIS 7310.
8330 (CSE 8330). Advanced Database Management Systems. An extensive investigation of distributed databases and implementation issues. Included are design, data replication, concurrency control and recovery. Includes implementation project. Prerequisite: EMIS 7331.
8331 (CSE 8331). Data Mining. Various data mining concepts and algorithms from a database perspective. A historical background and related topics. An overview of data mining core topics (classification, clustering, association rules) and more advanced topics (temporal and spatial data, scalability and parallelization and outliers). Includes linear regression, distance measure, decision trees and neural nets. Case studies and projects. Prerequisite: EMIS 7331.
8337 (CSE 8337). Information Retrieval. Examination of techniques used to store and retrieve unformatted/textual data. Examination of current research topics of data mining, data warehousing, digital libraries, hypertext and multimedia data. Prerequisite: EMIS 7331.
8340. Systems Engineering Tools. Computerized tools perform the vital function of capturing and delivering systems engineering information throughout the product development life cycle. A survey of the many tools, methods and techniques that are applied to engineering systems from inception to disposal: scope/needs evaluation, requirements analysis, functional and physical allocation, optimization, test validation/verification and product management. Hands-on use of systems engineering software will enable students to identify and apply appropriate tools through the life cycle of a product they develop. Prerequisite: EMIS 7301.
8342. Six Sigma for Systems Engineering. Methods and tools for the application of Six Sigma concepts as a part of the systems engineering design process for developing quality products. Includes assessing the “predicted quality” of a product through requirements analysis, development a quantitative process based on engineering best practices and its application to trade studies, model development and operations analysis. Prerequisites: EMIS 7301 and EMIS 7303.
8348. Supply-Chain Systems Engineering. An introduction to supply-chain design, development and management concepts and principles from a systems perspective. Includes the system life cycle; influences of reliability, maintainability and supportability (RMS) and risk analysis associated with supply-chain design, development and management; supply-chain management strategies; high-level supply-chain and transportation concepts and theories and deterministic system modeling based on customers’ needs, requirements and functional analysis. Prerequisites: EMIS 7301, EMIS 7303 and EMIS 7340.
8350 (CSE 8350). Algorithms II. Analysis of dynamic data structures, lower bound theory, problem equivalence and reducibility, complexity theory, probabilistic algorithms, machine models of sequential and parallel computation and parallel algorithms. Prerequisite: EMIS 7350.
8355 (CSE 8355). Graph Theory: Algorithms and Applications. Development of algorithmic and computational aspects of graph theory, with application of concepts and techniques to solving problems of connectivity, set covering, scheduling, shortest paths, traveling salesmen, network flow, matching and assignment. Prerequisite: EMIS 7350 (CSE 7350) or permission of the instructor.
8356. Information Engineering and Global Perspectives. An examination of global and information aspects of technology-based and information-based companies. Includes modern business processes, the strategic use of information technology and integration of global information resources for competitive advantage. Prerequisite: EMIS 7360.
8358. Technical Entrepreneurship. Development of principles and practical strategies for the management and evolution of rapidly growing technical endeavors. Includes entrepreneurship, intrapreneurship, strategic planning, finance, marketing, sales, operations, research and development, manufacturing and management of technology-based companies. Management teams are formed, and ventures are selected and simulated over an extended period of time. Extensive student presentations and reports. Prerequisite: Permission of the instructor.
8360. Operations Research Models. A survey of models and methods of operations research. Deterministic and stochastic models in a variety of areas. Credit is not allowed for both EMIS 3360 and EMIS 8360. Prerequisites: A knowledge of linear algebra and an introduction to probability and statistics.
8361. Engineering Economics and Decision Analysis. Introduction to economic analysis methodology. Includes engineering economy and cost concepts, interest formulas and equivalence, economic analysis of alternatives, technical rate of return analysis and economic analysis under risk and uncertainty. Credit is not allowed for both EMIS 2360 and EMIS 8361. Prerequisite: Introductory probability.
8362. Engineering Accounting. An introduction to and overview of financial and managerial accounting for engineering management. Includes basic accounting concepts and terminology, preparation and interpretation of financial statements and uses of accounting information for planning, budgeting, decision-making, control and quality improvement. Focuses on concepts and applications in industry today.
8363. Engineering Finance. Develops an understanding of corporate financial decisions for engineers. Includes cost of capital, capital budgeting, capital structure theory and policy, working capital management, financial analysis and planning and multinational finance. Prerequisite: EMIS 8361 or a knowledge of time value of money.
8364. Engineering Management. How to manage technology and technical functions from a pragmatic point of view. How to keep from becoming technically obsolete as an individual contributor and how to keep the corporation technically astute. A look at the management of technology from three distinct viewpoints: (1) the management of technology from both an individual and a corporate perspective, (2) the management of technical functions and projects and (3) the management of technical professionals within the organization. Prerequisite: Graduate standing in engineering.
8368. Enterprise Leadership. The study of how companies link strategy and action at the enterprise level: shaping and leveraging the work performed by the multi-firm enterprises that jointly produce added value for customers, while building and retaining competencies critical for competitive advantage.
8370 (STAT 6370). Stochastic Models. Model building with stochastic processes in applied sciences. Phenomena with uncertain outcomes are formulated as stochastic models and their properties are analyzed. Specific problems from areas such as population growth, queueing, reliability, time series and social and behavioral processes. Emphasizes statistical properties of the models. Prerequisites: STAT 5373 and graduate standing.
8371. Linear Programming. A complete development of theoretical and computational aspects of linear programming. Prerequisite: MATH 3353.
8372 (STAT 6372). Queueing Theory. Queueing theory provides the theoretical basis for the analysis of a wide variety of stochastic service systems. The underlying stochastic processes are Markov and renewal processes. The course has two objectives: to cover the fundamentals of stochastic processes necessary to analyze such systems and to provide the basics of formulation and analysis of queueing models with emphasis on their performance characteristics. Prerequisite: EMIS 7370 (STAT 5340) or permission of the instructor.
8373. Integer Programming. A presentation of algorithms for linear integer programming problems. Includes complexity analysis, cutting plane techniques and branch-and-bound. Prerequisite: EMIS 8360 or EMIS 8371.
8374. Network Flows. A presentation of optimization algorithms and applications modeling techniques for network flow problems. Includes pure, generalized, integer and constrained network problems, plus special cases of each, including transportation, assignment, shortest-path, transshipment, multi-commodity and nonlinear networks. Uses case studies to illustrate the uses of network models in industry and government settings. Prerequisite or co-requisite: EMIS 8360 or EMIS 8371.
8378. Optimization Models for Decision Support. Study of the design and implementation of decision support systems based on optimization models. Course objectives: development of modeling skills, practice in the application of operations research techniques, experience with state-of-the-art software and the study of decision support systems design and management. Includes linear, integer, network, nonlinear, multi-objective and stochastic optimization models for manufacturing, logistics, telecommunications, service operation and public sector applications. Prerequisite: EMIS 8360 or equivalent.
8380. Mathematics for Optimization. Presents at a high level of mathematical rigor the background topics that are necessary for a good understanding of the theoretical underpinnings of optimization. Many of these topics are traditionally higher-level linear algebra topics that are not present in undergraduate and most basic graduate linear algebra courses. A thorough review of traditional supporting material covering real-valued functions in multidimensional space. Includes theoretical material supporting linear programming and nonlinear programming. Uses MATLAB for examples and projects. Homework will consist primarily of the construction of proofs. Prerequisite: Knowledge of linear algebra and analysis at the advanced calculus level.
8381. Nonlinear Programming. Includes convexity analysis, nonlinear duality theory, Kuhn-Tucker conditions, algorithms for quadratic programming and separable programming: gradient and penalty methods. Prerequisite: EMIS 8371.
8382. Theory of Optimization. Lagrange multiplier theory and fixed-point representations. Duality/convex analysis/subgradient relationship. Prerequisite: EMIS 8371.
8(0-4)90, 8(0-4)93. Graduate Seminar. Special and intensive study of selective topics in operations research, engineering management, systems engineering or information engineering, aimed at encouraging students to follow recent developments through regular critical reading of the literature.
8(1-4)94, 8(1-4)95. Selected Problems. Independent investigation of topics in operations research, engineering management, systems engineering and information engineering. Must be approved by the department chair and the major professor. Prerequisite: 12 term hours of graduate credit.
7(0,1,2,3,6)96. Master’s Thesis. Variable credit, but not more than six term hours in a single term and not more than four in each summer term. Registration in several sections may be needed to obtain the desired number of thesis hours. For example, four term hours of thesis would require registration in EMIS 7396 and 7196.
8(0,1,2,3,6)96. Dissertation. Variable credit, but not more than 15 term credit hours in a single term and not more than 10 term credit hours in the summer terms. Registration in several sections may be needed to obtain the desired number of dissertation hours. For example, 12 term credit hours of dissertation would require registration in EMIS 8396 and EMIS 8996.
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