The School of Systems and Enterprises

DINESH VERMA, DEAN
JOHN V. FARR, ASSOCIATE DEAN FOR ACADEMICS
MICHAEL C. PENNOTTI, ASSOCIATE DEAN FOR PROFESSIONAL PROGRAMS

Professor
    John V. Farr, Ph.D., P.E. (1986), University of Michigan
    Donald N. Merino, Ph.D., P.E., Alexander Crombie Humphreys
        Professor (1975), Stevens Institute of Technology
    Dinesh Verma, Ph.D. (1994), Virginia Tech

Associate Professor
Rashmi Jain, Ph.D. (2003), Stevens Institute of Technology

Assistant Professor
    Wei Jiang, Ph.D., (2000), The Hong Kong University of Science and
        Technology
    Roshanak Nilchiani, Ph.D. (2005), Massachusetts Institute of
        Technology
    Jose Emmanuel Ramirez-Marquez, Ph.D. (2004), Rutgers University
    Brian J. Sauser, Ph.D. (2004), Stevens Institute of Technology

Distinguished Service Professor
    Anthony Barrese, Ph.D. (1978), Stevens Institute of Technology
    Wiley Larson, Ph.D. (1988), Texas A&M Univesrity
    Spiros Pallas, Ph.D. (1972), University of Texas
    Carl Pavarini, Ph.D. (1973), Rensselaer Polytechnic Institute
    Michael C. Pennotti, Ph.D. (1974), Polytechnic Institute of New York

Distinguished Research Professor
John T. Boardman, Ph.D. (1970), University of Liverpool
Arthur Pyster, Ph.D. (1975), Ohio State University

Industry Professor
    Bruce Barker, M.S. (2004), Stevens Institute of Technology
    Leon A. Bazil, Ph.D., D.Sc. (1984), St. Petersburg Technical University
    Howard Berline, Ed.M. (1968), University of Illinois, Urbana
    Rick Dove, B.S., (1969) Carnegie Mellon University
    Ralph G. Giffin, III, B.S. (1988), George Mason University
    George Hudak, M.S., P.E. (1995), Stevens Institute of Technology
    Khaldoun Khashanah, Ph.D. (1994), University of Delaware
    David Nowicki, M.S. (1990), Virginia Polytechnic Institute and State University

Lecturer
    Kathryn D. Abel, Ph.D. (2001), Stevens Institute of Technology
    Eirik Hole, Diplom Ingenieur (1995), University of Stuttgart
    Alice Squires, M.B.A. (1996), George Mason University

Research Associate Professor
Robert Cloutier, Ph.D. (2006), Stevens Institute of Technology

School Advisory Board
    Mr. Mark Schaeffer, Director of Systems and Software Engineering,
        Office of Secretary of Defense (Chair)
    Mr. Orlando Carvalho, Vice President and General Manager, Lockheed Martin MS2
    Mr. George Dasher, President, ASSETT, Inc.
    Dr. Wolter J. Fabrycky, Lawrence Professor Emeritus, Virginia Polytechnic Institute and         State University
    Mr. Chris Ferreri, Managing Director, ICAP Electronic Broking
    Dr. Val Gavito, Senior Vice President Technology and Strategic Development,
        L3 Communications
    Mr. Jack Irving, Vice President, Lockheed Martin (Retired)
    Dr. James Kays, Dean, Graduate School of Engineering and Applied Sciences,
        Naval Postgraduate School
    Mr. Robert Klein, Vice President of Engineering, Technology, and Logistics,
        Northrop Grumman – AES and EWS
    Dr. George Korfiatis, Provost and University Vice President,
        Stevens Institute of Technology
    Dr. Wiley Larson, Director of SpaceTech’s Master's Program in Space Systems
        Engineering, Delft Technical University in The Netherlands
    Mr. Ralph Nelson, Vice President, IBM Global Services
    Dr. Spiros Pallas, Deputy Director, Defense Systems,
        Office of Secretary of Defense (Retired)
    Mr. Tom Parry, Vice President, Systems Engineering, Decisive Analytics Corporation
    Dr. Richard Roca, Director, Applied Physics Laboratory, Johns Hopkins University

Undergraduate Programs Advisory Board
    Mr. Kevin Dice, Iron Mountain
    Dr. Sujoy Dey, Johnson and Johnson
    Ms. Allison Donnelly, Accenture Consulting
    Dr. Timothy Koeller, Associate Dean, Howe School of Technology Management,
        Stevens Institute of Technology
    LTC Donna Korycinski, Director of the Engineering Management Program, U.S.
        Military Academy
    Dr. Willie McFadden, Senior Associate, Booz Allen Hamilton, Inc.
    Mr. Bob Thoelen, Hamilton Sundstrand
    Ms. Melissa Traylor, JP Morgan
    Mr. Mark Troller, Time Warner Corp.
    Dr. Henry Wiebe, Vice Provost for University of Missouri-Rolla Global

    Today’s engineered systems are more complex than their predecessors, not only in the sophistication of elements from which they are constructed, but in the number and nature of the interconnections between the elements. System failures today, whether an automobile malfunction on a busy highway or loss of a spacecraft on a distant planet, are likely to result from an unanticipated interaction between elements than from the failure of a single part. Softwar- intensive systems represent a special challenge because of the myriad of possible logic paths that can be woven through their code. As Moore’s law continues to drive down the size of computers and drive up their speed and power, software that was once deeply embedded within physical components has begun to emerge, enabling collaboration between components that would have been unimaginable only a few years ago.

    While the complexity of technical systems continues to grow, equally as exciting is the emergence of a new class of systems, one for which there is no central control. Perhaps most readily exemplified by the Internet, such systems are characterized by the autonomy enjoyed by their elements, each one acting locally to achieve its individual purpose without benefit of centralized control. Yet, because the elements are richly interconnected, such systems are capable of self-organizing to produce emergent behavior for which they have not been specifically designed. We are only beginning to scratch the surface in exploring the possibilities represented by these decentralized systems, or perhaps more properly, systems of systems. Understanding their behavior, and perhaps even more ambitious, how to create conditions that result in their producing favorable outcomes, will keep researchers and designers occupied for many years to come.

    Enterprises represent a special case of systems, one with enormous economic importance. While not traditionally considered within the same domain as technical systems, enterprises are increasingly being seen as representatives of a broader class of human-designed systems, of which technical systems are only one part. The simplest definition of an enterprise, three or more people engaged in purposeful activity, would certainly be recognized as a system by a traditional systems engineer. Even this simple enterprise comprises elements (people) working together to achieve a common purpose, but today’s global enterprises are far more complex than this simple definition implies. Enabled by a revolution in communications and information technologies, they may be among the most complex systems ever conceived of by humans. In a sense, treating them in the same class as technical systems represents a natural evolution, from enterprise systems as enabling technology, to enterprises as systems of cross-functional processes, to enterprises as systems in their own right. Certainly, as we look at extended enterprises, the elements of which may be independent firms widely dispersed across the globe, each with their own motivations, expertise, cultures, and organizations, yet collectively working together to produce a product or service valued by customers, the challenge of designing, managing, evaluating, and optimizing these systems is the equal of any we can find.

    It is in this context that Stevens created the School of Systems and Enterprises (SSE) with the mission to create knowledge and understanding at the confluence between Systems and Enterprises. We as a school are also committed to an educational and research philosophy that we refer to as the "Open Academic Model," where:

We believe that this concept of alliances is essential to developing relevant and connected programs for the Systems Engineering (SE), Engineering Management (EM), Enterprise Systems (ES), and Financial Engineering (FE) disciplines within academia.

The SSE faculty is engaged in a variety of research efforts in the new school to support our academic endeavors, that include:

To support our research mission, the SSE houses the Systems and Enterprise Architecting Laboratory (SEAL). The SEAL provides a research environment and tooling for collaboration to let a team work on the design, analysis, and system architectures. The SEAL also serves as a central repository for the generated information, and can offer opportunities for gathering of metrics and experiments with data mining to extract system level patterns.

Engineering Management
    Engineering Management is a rapidly-expanding field that integrates engineering, technology, management, systems, and business. High-technology companies in the telecommunications, financial services, manufacturing, pharmaceutical, consulting, information technology, and other industries utilize the concepts and tools of EM, such as project management, quality management, engineering economics, modeling and simulation, systems engineering and integration, and statistical tools. These technology-based companies recruit EM graduates for their expertise in these tools and techniques and to fill a critical need of integrating engineering and business operations.

    The EM program combines a strong engineering core with training in accounting, cost analysis, managerial economics, quality management, project management, production and technology management, systems engineering, and engineering design. The course selection offered by this major exemplifies the Stevens interdisciplinary approach to developing strong problem-solving skills. The program prepares students for careers that involve the complex interplay of technology, people, economics, information, and organizations. The program also provides the skills and knowledge needed to enable students to work effectively at the interface between engineering and management and to assume professional positions of increasing responsibility in management or as key systems integrators.

    The mission of the Bachelor of Engineering in Engineering Management (BEEM) Program is to provide an education based on a strong engineering core, complemented by studies in business, technology, systems, and management; to prepare the graduate to work at the interface between technology/engineering and management; and to be able to assume positions of increasing technical and managerial responsibility. The objectives of the EM program can be summarized as follows:

The EM Program is accredited by the Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology (ABET). A typical course sequence for EM follows:

EM Minors typically take the following courses as part of the Engineering Curriculum:

Students wishing to pursue an EM minor should use any three of the EM 275, 270, 301, or 360 courses to satisfy the requirements for two of the three general electives. Thus, an EM minor requires a two-course overload.

The SSE and Department of Electrical and Computer Engineering (ECE) of the Charles V. Schaefer, Jr. School of Engineering and Science jointly offer an Information Systems Engineering (ISE) concentration under the Engineering Program in the undergraduate curriculum.

The goal of the ISE concentration is to produce graduates with a broad engineering foundation who can be effective in the analysis, design, construction, implementation, and management of information systems. A student can choose either a focus area in information systems management or networked information systems (NIS). Students taking the NIS focus will, in general, take their senior design sequence with students in the Bachelor of Engineering in Computer Engineering (CPE) program. Whereas, those students taking the ISM focus will take their senior design sequence with students in the Bachelor of Engineering in Engineering Management (BEEM) program. The following lists typical electives within each focus. Other appropriate electives can be chosen with the approval of a faculty advisor.

Network Information Systems (NIS): Electives for the NIS focus can be selected from any ECE undergraduate or 500-level courses consistent with the themes of networks, information, and networked information systems. When appropriate, courses from other academic programs can also be used, with a maximum of 2 courses from other academic programs. The Director of the ECE Department serves as advisor to students in this focus area and electives must be approved by the ECE Director.

Information Systems Management (ISM): Rapid advancements in technology and dynamic markets and the changing business environment have created increased demand for professionals who can manage and deliver information systems. This demand has been accelerated by new competition, shorter product life cycles, and more complex and specialized markets.

The mission of the Bachelor of Engineering in ISE (BEISE) Program is to provide an education based on a strong engineering core, complemented by studies in business, computer engineering, systems, and management, to provide systems professionals who can develop, lead, and evolve information resources partnering with corporate management. ISE graduates are prepared to work at the interface between engineering and management to design and build innovative new products and services which balance the rival requirements of competitive performance/cost and practical constraints imposed by available technologies.

Engineering – Concentration in Information Systems Engineering, Information Systems Management (ISM) Focus

The SSE offers a unique four plus one style program designed for Stevens undergraduate engineering and science students who wish to jointly pursue a Masters of Engineering in Engineering Management (MEEM) or in Systems Engineering (MESE) degree concurrently with their undergraduate degree. Admissions criteria to the program are junior standing, a formal interview, and a Grade Point Average (GPA) of at least 3.2 in engineering or science. All undergraduates in these programs are encouraged to take MGT 243 and MGT 244, Microeconomics and Macroeconomics, respectively.

Certificates in Systems Engineering and Architecting, Engineering Management, Financial Engineering, Logistics and Supply Chain Analysis, Pharmaceutical Manufacturing Practices, Project Management, Systems Engineering Management, and Systems Supportability and Engineering are approved for this program. Other certificate options must be approved by the Associate Dean for Academics within the SSE.

    The SSE offers the Master of Engineering degrees in SE and EM and a Master of Science degree in Financial Engineering (FE) and Enterprise Systems (ES) through a wide variety of delivery modes to include traditional 15-week face-to-face semester format, web-based distance format, and the Systems Design and Operational Effectiveness (SDOE) program’s modular format. The degree of Doctor of Philosophy is offered in Systems Engineering, Engineering Management, and Enterprise Systems.

    The SDOE program is an international leader in engineering education and offers a flexible delivery format tailored to the working professional. All courses in the SDOE program are offered in a unique week-long modular format. The week-long modular format minimizes time away from “home base,” while the live and intensive weeklong courses, and associated group exercises, ensure development of team building skills, leadership development, and the real-time negotiation and tradeoffs that characterize reality. Students are given reading assignments prior to the instructional week. Further, participants pursing a degree or graduate certificate have ten weeks subsequent to the instructional week to complete their homework assignments and projects. Homework assignments and projects are not required for those students taking SDOE classes for continuing education units (CEUs) credit (2).

    The school's programs in SE, EM, and ES take a multidisciplinary approach to engineering education by providing a blend of engineering, systems, and management subjects. The traditional engineer and scientist often lacks preparation in the human, financial, and systems integration skills necessary to make project teams more productive, improve system and service quality, and promote the advancement of high technology for complex systems. Our Masters' programs are unique in that we strive to produce a graduate who is well prepared for a future in the management of engineering and technology and can address systems integration, life-cycle issues, and systems thinking at the system, systems of systems, and enterprise levels.

    The M.S. in FE services the financial services industries. This industry has an increasing need for graduates who are trained in the mathematical methods that are now used to solve problems in finance. In our financial engineering program, you learn how to use relevant techniques from applied mathematics, statistics, and economics to develop, analyze, and implement financial products involving securities valuation, risk management, portfolio structuring, and regulatory concerns. Training in quantitative analysis, modeling, optimization, simulation techniques, and technology interface is emphasized. Financial Engineering serves the financial services industries that are home to some of the most complex systems and enterprises in our society.

These programs require a minimum of 30 credit-hours of course work. A thesis and/or project is required for the SE and ES degrees. For the EM and FE degrees, a thesis is optional and may be substituted for up to six credit-hours of course work. The thesis option is strongly recommended for full-time students receiving financial support in the form of research assistantships or those students planning to pursue doctoral studies.

An undergraduate degree in engineering or related disciplines with a "B" average or better from an accredited college or university is generally required for graduate study in our M.E. and M.S. programs. Outstanding applicants in other areas may be conditionally admitted subject to the satisfactory completion of several ramp courses or introductory courses within the specific program. Student applying to the M.S. in ES program should have an undergraduate education or significant industry experience that has a significant quantitative component. The MS in FE requires a strong mathematics background to include some elements of calculus. The specific requirements will be determined on an individual basis depending upon the student’s background. It is required that any applicants requesting research assistantship appointments and applicants to the Ph.D. program provide evidence of the ability to carry out independent research. Examples of such evidence include the master's degree thesis work and/or completed work-related projects. Graduate Record Exam (GRE) scores are not required, but may be submitted in support of the application. International students must demonstrate their proficiency in the English language prior to admission by scoring at least 550 (210 for computer-based) on the TOEFL examination. Applications for admission from qualified students are accepted at any time. Each student should meet with his/her advisor to develop a study plan that matches the student’s background, experience, and interests, while satisfying the requirements for any of the school’s programs.

The SE degree is a multidisciplinary program that includes a blend of engineering, systems thinking, and management subjects. Graduates from this program will be prepared to work effectively at the interface between engineering and management and to assume professional positions of increasing responsibility. The program consists of ten courses (six core and four advisor directed electives):

Students wishing to pursue the thesis option will take six credit-hours of SYS 900 and not take SYS 800 and the SYS elective. Only full-time, resident students have the option to NOT take either a three- or six-hour projects class or a thesis. These students may take two SYS/EM/ES electives with the approval of their advisor.

Students are encouraged to take an integrated four-course sequence leading to a graduate certificate for the four advisor-approved electives or four additional courses in SE, EM, or ES. Most of these certificates are offered on-line via web-based instruction. Approved four-course sequences include:

A M.E. degree in EM builds upon undergraduate engineering and science education with studies in business, management, and SE. The traditional engineer and scientist often lacks a formal education in the human, financial, and management skills necessary to advocate the use of technology for high-quality, cost-efficient, complex systems. Our Master’s degree is unique in that we strive to create an engineer who is well prepared for a future in the management of engineering and technology integration.

Graduates from this program will be prepared to work effectively at the interface between engineering and management and to assume professional positions of increasing responsibility. The six core courses for this program are:

Students lacking a strong quantitative background that includes an introduction to calculus and statistics may be required to take several ramp courses as defined by the admission conditions listed in the acceptance letter.

Students are encouraged to take an integrated four-course sequence leading to a graduate certificate for the four advisor-approved electives or four additional courses in SE, EM, or ES. Most of these certificates are offered on-line via web-based instruction. Approved four-course sequences include:

A faculty advisor must approve other options. Note that all of these certificates are available to undergraduate students as part of the four plus one program.

Enterprises represent a special case of systems of systems, one with enormous economic importance. Enterprises comprise elements (people, polices, governance, technology, etc.) working together to achieve a common purpose. We look at extended enterprises elements, the elements of which may be independent firms widely dispersed across the globe, each with their own motivations, expertise, cultures, and organizations, yet collectively working together to produce a product or service valued by customers. The challenge of designing, managing, evaluating, and optimizing these systems is the equal of any we can find. Today’s global enterprises are far more complex than this simple definition implies. Enabled by a revolution in communications and information technologies, they may be among the most complex systems ever conceived of by humans.

The M.S. in ES was conceived with a two-fold goal. First, we felt that an educational program was needed for people employed in the governance of enterprises from non-engineering and science backgrounds. Secondly, that a certain class of problems should not be characterized as SE in nature but should be viewed from an enterprise perspective. Thus, understanding the complex systems characteristics of these elements to include systems thinking, analysis, and governance requires different tools and processes than those taught in EM and SE.

This M.S. in ES program consists of ten courses (six core and four advisor-directed electives) and includes:

Note: students wishing to pursue the thesis option will take six credit-hours of ES 900 and not take ES 800 and EM 680.

Students are encouraged to take an integrated four-course sequence leading to a graduate certificate for the remaining four electives or four additional courses in SE, EM, or ES. Most of these certificates are offered on-line via web-based instruction. Approved four-course sequences include:

The vast complexity of financial markets compels industry to look for experts who not only understand how they work, but also possess the mathematical knowledge to uncover their patterns and the computer skills to exploit them. To achieve success, banking and securities industries must come to grips with securities valuation, risk management, portfolio structuring, and regulation-knowledge embracing applied mathematics, computational techniques, statistical analysis, and economic theory. The goal of the degree is to produce graduates who can make pricing, hedging, trading, and portfolio-management decisions in the financial services enterprise. With sharply honed practical skills complimented by strong technical elements, graduates are in demand in the industries of investment banking, risk management, securities trading and portfolio management.

The master’s program consists of 10 courses for a total of 30 credits. Students wishing to enroll in any of the FE programs must have an undergraduate degree in an engineering or science discipline, and must have completed coursework in:

Students must also possess some basic knowledge in FE. Students without this background should enroll in FE 510. Note that FE 510 cannot be used as a course for the FE degree.

There are two tracks in the M.S. in FE program: Quantitative Financial Engineering and Financial Engineering Technology. Both tracks require the same core courses and include:

For the FE Technology Track with a concentration in Databases and Networks, the following courses are required:

For the FE Technology Track with a concentration in Information and Modeling, the following courses are required:

Masters of Business Administration (M.B.A.) in Technology Management (TM) with Concentrations in Engineering Management and Financial Engineering

The Wesley J. Howe School of Technology Management (WJHSTM), in conjunction with the School of Systems and Enterprises, offers a unique program which combines the quantitative elements of an engineering degree with the business topics typically taught in a M.B.A. program. The program is designed so that students from various backgrounds can tailor their educational experience to meet their career objectives. The recommended study plans for EM and FE are shown below, respectively.

Course	Course Title	Credits
	M.B.A. Core Courses
MGT 600	Mangerial Accounting	3.0
MGT 607	Managerial Economics	3.0
MGT 609	Introduction to Project Management	3.0
MGT 620	Statistical Models	3.0
MGT 623	Financial Management	3.0
MGT 641	Marketing Management	3.0
MGT 671	Technology and Innovation Management	3.0
MGT 680	Organizational Behavior and Theory	3.0
MGT 690	Organizational Theory and Design	3.0
MGT 725	Strategic Management	3.0
Subtotal		30

	Breadth Courses
MGT 657	Operations Management	3.0
MGT 679	Management of Information Systems	3.0
Elective		3.0
Elective*		3.0
Elective*		3.0
	*Two electives may be substituted (with approval) with a Master’s Thesis (six credits)
Subtotal		15

	EM Major Courses
EM 605	Elements of Operational Research	3.0
**EM 611	Modeling and Simulation	3.0
SYS 625	Fundementals of Systems Engineering	3.0
SYS 650	System Architecture and Design	3.0
**SYS 660	Decision and Risk Analysis	3.0
EM Elective		3.0
	**Select one of these two courses
Subtotal		15
Total		60

	Prerequisites (No credit) (or equivalent)
EM 365	Statistics for Engineers	NC
MA 501	Introduction to Mathematical Analysis	NC
MGT 503	Microeconomics	NC

Course	Course Title	Credits
	M.B.A. Core Courses
MGT 600	Mangerial Accounting	3.0
MGT 607	Managerial Economics	3.0
MGT 609	Introduction to Project Management	3.0
MGT 620	Statistical Models	3.0
MGT 623	Financial Management	3.0
MGT 641	Marketing Management	3.0
MGT 671	Technology and Innovation Management	3.0
MGT 680	Organizational Behavior and Theory	3.0
MGT 690	Organizational Theory and Design	3.0
MGT 725	Strategic Management	3.0
Subtotal		30

	Breadth Courses
MGT 657	Operations Management	3.0
Elective		3.0
Subtotal		6

	FE Major Courses
FE 510	Introduction to Financial Engineering	3.0
MA 540	Introduction to Probability Theory	3.0
TM 613	Knowledge Discovery and Data Mining	3.0
MIS 682	Capital Markets	3.0
FE 610	Probability and Stochastic Calculus	3.0
*FE 620	Pricing and Hedging	3.0
*CS 535	Financial Computing	3.0
FE 621	Computational Methods in Finance	3.0
FE 630	Portfolio Theory and Applications	3.0
	*Select one of these two courses
Subtotal		24
Total		60

	Prerequisites (No credit) (or equivalent)
MA 505	Introduction to Mathematical Models	NC
CS 570	Introduction to Programming in C++	NC

To gain admission to the M.B.A. program, students must take a GMAT or GRE (see the WJHSTM section of the catalog for specific admission criteria and score standards). A minimum of two years work experience will be required of all students prior to admission to this program.

All graduate certificate programs require a minimum of 12 credit-hours of course work. An undergraduate degree in engineering or related disciplines with a "B" average or better from an accredited college or university is generally required for graduate study in any one of our programs. Outstanding applicants in other areas may be conditionally admitted subject to the satisfactory completion of several ramp courses or introductory courses within the specific program. The specific requirements will be determined on an individual basis depending upon the student’s background. International students must demonstrate their proficiency in the English language prior to admission by scoring at least 550 (210 for computer-based) on the TOEFL examination. Applications for admission from qualified students are accepted at any time.

Each student should communicate with his/her advisor to develop a study plan that matches the student’s background, experience, and interests, while satisfying the requirements for any of the programs. Each of the graduate certificate programs is a stepping-stone towards the Master’s degree in Systems Engineering.

Agile Systems and Enterprise
ES/SDOE 675 Systems Thinking
ES/SDOE 678 Engineering of Agile Systems and Enterprises
ES/SDOE 679 Architecting the Extended Enterprise
ES/SDOE 683 Design of Agile Systems and Enterprise

Engineering Management
EM 600 Engineering Economics and Cost Analysis
EM 605 Elements of Operations Research
EM/SDOE 612 Project Management of Complex Systems
EM/SDOE 680 Designing and Managing the Development Enterprise

Enterprise Architecture and Governance
ES/SDOE 679 Architecting the Extended Enterprise
ES/SDOE 675 Systems Thinking
ES/SDOE 677 Enterprise and Organizational Governance
SYS/SDOE 681 Dynamic Modeling of Systems and Enterprises

Financial Engneering
FE 610 Probability and Stochastic Calculus
FE 620 Pricing and Hedging
FE 621 Computational Methods in Finance
FE 630 Portfolio Theory and Risk Management

Logistics and Supply Chain Analysis
EM/SDOE 665 Integrated Supply Chains
SYS 670 Forecasting and Demand Modeling Systems
SYS/SDOE 611 Modeling and Simulation
SYS/SDOE 640 Supportability and Logistics

Systems Engineering and Architecting
EM/SDOE 612 Project Management of Complex Systems
SYS/SDOE 605 Systems Integration
SYS/SDOE 625 Fundamentals of Systems Engineering
SYS/SDOE 650 System Architecture and Design

EM/SDOE 612 Project Management of Complex Systems
EM/SDOE 680 Designing and Managing the Development Enterprise
SYS/SDOE 625 Fundamentals of Systems Engineering
SYS/SDOE 660 Decision and Risk Analysis

Systems and Supportability Engineering
SYS/SDOE 625 Fundamentals of Systems Engineering
SYS/SDOE 640 System Supportability and Logistics
SYS/SDOE 645 Design for System Reliability, Maintainability, and
Supportability
SYS/SDOE 650 System Architecture and Design

The certificate in Agile Systems and Enterprises integrates four complimentary courses. One common theme throughout defines enterprise as a human activity system. Another defines agile systems as those responding effectively to unpredicted situations, at all times, within mission. These common themes facilitate a study of agility across a seemingly wide variety of interesting system types, with the lines of difference blurred as each informs the other. The frontier of systems engineering today seeks new levels of system capability and behavior, and expects to find those benefits in higher forms of systems that elude traditional control and creation concepts. This graduate certificate is relevant to engineers, managers, and decision-makers in commercial, healthcare, financial and insurance, and defense domains working with systems that must thrive in a dynamic unpredictable environment, especially if they are system of systems, or enterprise systems. The graduate certificate and the constituent courses first build a theoretical and philosophical basis for understanding and formulating the interactive and interdependent problem and solution spaces, and then suggest pragmatic and executable approaches to realize the enterprise potential.

Engineering Management is a rapidly expanding field that combines engineering, technology, management, systems, and business. High-technology companies in the telecommunications, financial services, manufacturing, pharmaceutical, consulting, information technology, and other industries utilize the concepts and tools of EM, such as project management, quality management, engineering economics, modeling and simulation, systems engineering and integration, and statistical tools. Given that most students will spend most of their professional careers in a management or supervisory capacity, this certificate will provide many of the skills necessary to be successful in the 21st century global economy.

The certificate in Enterprise Architecture and Governance integrates four complimentary courses focused on defining and managing large enterprises. Enterprises represent a special case of systems of systems, one with enormous economic importance. While not traditionally considered within the same domain as technical systems, enterprises are increasingly being seen as representatives of a broader class of human designed systems, of which technical systems are only one part. Certainly, as we look at extended enterprises, the elements of which may be independent firms widely dispersed across the globe, each with their own motivations, expertise, cultures and organizations, policy and procedures, doctrine and history, charters and resources, motivations, and strategic intent, yet collectively working together to produce a product or service valued by customers, the challenge of designing, managing, evaluating, and optimizing these systems is the equal of any we can find. Whether governments, large commercial organizations, government agencies, etc., governance continues to be the most critical challenge contributing to the success or failure of the enterprise. The graduate certificate and the constituent courses first build both a theoretical and philosophical basis for understanding and formulating the interactive and interdependent problem and solution spaces, and then suggest pragmatic and executable approaches to realize the enterprise potential.

The Logistics and Supply Chain Analysis certificate focuses on the theory and practice of designing and analyzing supply chains. It will provide quantitative tools to identify key drivers of supply chain performance, such as inventory, transportation, information, and facilities from a holistic perspective. This graduate certificate program has a "how-to" orientation and the understanding gained in the courses can be immediately applied to the solution of on-the-job problems.

If you're an engineer who wants to help solve today's business problems and meet your future career goals, this four-course, online graduate certificate is perfect for you. The material presented in the Systems Engineering and Architecting (SEA) certificate provides an interdisciplinary approach based on an "entire view" of missions and operational environments and combines the capabilities of platforms, systems, operators, and support to fashion solutions that meet customer needs. Our competencies in the SEA are nationally-recognized for our achievements in engineering education and the research philosophy rooted in effective partnerships with industry, and instructors whose broad backgrounds provide a balanced blend of academic rigor with practical experience teach the program.

The Systems Engineering Management (SEM) certificate is designed for program managers, project managers, and lead systems engineers involved with conceiving, defining, architecting, integrating, and testing complex and multi-functional systems. Particular emphasis is placed on the modern engineering enterprise characterized by geographically dispersed and multi-cultural organizations. Accordingly, the role of e-collaboration is also examined, and the traditional project and program management concepts are re-examined in this context. The participating students are also introduced to the concept of the “extended” enterprise and the delivery of a value chain solution. Relevant subjects such as leadership, subcontracting, and partnering are also reviewed. Additionally, the human, financial, organizational, and systems integration skills necessary to make project teams more productive are addressed in this graduate certificate offering. With a common systems engineering process serving as the framework, courses in project management, costing and acquisition, decision and risk analysis, and the organization as a system are integrated to form a certificate that will bridge engineering, management, and systems integration.

With an increasing percentage (often 65% or more) of the system life-cycle cost (LCC) being allocated to operations and support, there is urgency about exploring "cause and effect" relationships between design decisions and their operational, and support-related impacts. System and product robustness and sustainability become key when systems are costed using a LCC approach. The notion of “open” system architectures becomes imperative with increasing use of commercial system elements and common platforms. This four-course cluster in Systems and Supportability Engineering presents innovative methods and practices aimed to integrate system reliability, maintainability, and supportability considerations into the systems engineering process. On the other hand, methods to optimize necessary logistics resources and processes are critical and are also studied in this sequence of courses. Current business trends are discussed and assessed.

   The programs leading to the Doctor of Philosophy (Ph.D.) degree are designed to develop your ability to perform research or high-level design in systems engineering or engineering management. Admission to the doctoral program is made through the departmental graduate admissions committee and is based on review of your scholastic record. A master’s degree is generally required before a student is admitted to the doctoral program. Your master’s level academic performance must reflect your ability to pursue advanced studies and perform independent research. Typically, a GPA of 3.5 or better is required for admission to the Ph.D. program.

   Ninety credits of graduate work in an approved program of study beyond the bachelor’s degree are required for completion of the doctoral program. Up to 30 credits obtained in a master’s program can be included toward the doctoral degree. Of the remaining 60 credits, 30 credit-hours of course work, as well as a minimum of 18 credit-hours of dissertation work, are required. Note that HUM 501, Foundations of Technical Communication, can be substituted for three credit-hours of dissertation research. Within two years from the time of admission to the doctoral program, you must form a Doctoral Advisory Committee (DAC) and take a written qualifying examination that is intended to test your comprehension of undergraduate and master’s level engineering fundamentals associated with your general dissertation topic area.

   The candidate’s graduate advisor serves as the chair of the DAC, and the student should seek the assistance of his/her advisor in identifying faculty who might serve on the committee. The graduate committee should be composed of those faculty members who can best assist the student in completing his/her graduate research. Each member is added to the student’s committee after consenting to serve. For the Ph.D., the advisory committee must include a minimum of four members and its composition must be consistent with the guidelines contained in the Graduate Student Handbook.

   All Ph.D. students must successfully complete the written and oral components of the qualification examination. The intent of the examination is to establish that the student is qualified to pursue creative, original, independent research at a level expected of Ph.D. students. The written portion of the examination requires two weeks for completion. The oral component of the examination is administered two weeks after the completion of the written portion. Students must be registered during the semester that the examination is taken. Students may not schedule the qualification examination until they have an approved Study Plan. The qualification examination is administered by the student’s DAC and one negative vote by a committee member is permitted for the successful completion of the examination. If performance on the examination is unsatisfactory, one full semester (15 weeks) must lapse before the examination is administered a second time. Students failing the examination twice will be dismissed from the program. At the discretion of the committee, a candidate may be allowed to change his/her degree option from a Ph.D. to a Master's. The result of the examination is recorded on a form furnished by the Registrar’s Office on the day of the oral portion of the examination.

   Students pursuing the Ph.D. are required to complete research in the course of graduate study. To initiate the research effort, students are required to pass a preliminary examination upon successful completion of the qualifying examination. The student is required to prepare a research proposal that describes the content of the research, the outcome anticipated, the contribution to the field of endeavor, and the creative content of the effort. This proposal must be in a written form and must be presented to his/her committee at a meeting where all committee members are present. Approval of the research effort is signified by signatures of each committee member on the cover page of the proposal. The signed research proposal must be delivered to the SEEM/SDOE student records office for inclusion in the student’s academic record. A student pursuing the Ph.D. degree should demonstrate, through the dissertation, the ability to carry out original and creative research. The results of the research should be sufficiently significant to be publishable in a major technical journal. The writing style, grammar, and spelling of the dissertation should reflect a high level of skill in written communication. Between the research proposal and the final examination, the student is required to provide at least one progress report to his/her advisory committee at a meeting where all committee members are present. The time of this meeting is determined by the student’s DAC.

At the completion of the research, you must defend your thesis in a public presentation. Doctoral candidates are encouraged to hold a private defense with his/her committee several weeks prior to the public defense. At that time, the committee should raise issues with the candidate prior to the public defense. The final examination must be scheduled through the Registrar’s Office, at least two weeks prior to its administration. To pass the final examination, a degree candidate must have a favorable vote from a majority of the examining/advisory committee, with a maximum of one negative vote. If a student fails the final examination, there must be a lapse of one full semester (15 weeks) before rescheduling the examination. A student is allowed no more than two opportunities to pass the final examination.

UNDERGRADUATE COURSES

E 355 Engineering Economics
(3-3-4)
This course covers the basics of cost accounting and cost estimation for engineering projects. Basic engineering economics topics include mathematics of finance, time value of money and economic analyses using three worths, internal rate of return, and benefit cost figures of merit. Advanced topics include after tax analysis, inflation, risk analysis, and multi attribute analysis. Laboratory exercises include introduction to the use of spreadsheet and a series of labs that parallel the lecture portion of the course. The student is introduced to an economic model (Spreadsheet to Determine the Economics of Engineering of Design and Development - SEED), which is used to design and provide typical venture capital financials. These financials are the income statement, balance sheet, break-even analysis, and sensitivity analysis. Prerequisites: E 121, E 122, E 231, and E 232.

EM 270 Management of Engineering and Technology
(3-0-3)
This course deals with the problems associated with the management of engineering personnel, projects, and organizations. The applications of the functions of management to engineering related operations, including the engineering aspects of products and process development, are reviewed. The course requires students to apply their knowledge of human behavior, economic analysis, and science to solve problems in the management of technologically-oriented organizations. The capstone of the course is a term paper analyzing an engineering management problem taken from actual practice.

EM 275 Project Management
(3-0-3)
This course presents the tools and techniques for project definition, work breakdown, estimating, resource planning, critical path development, scheduling, project monitoring and control, and scope management. Students will use project management software to accomplish these tasks. In addition, the student will become familiar with the responsibilities, skills, and effective leadership styles of a good project manager. The role organization design plays in project management will also be addressed. Corequisite: EM270 or the consent of the instructor.

EM 301 Accounting and Business Analysis
(3-3-4)
This course introduces students to the fundamental concepts of financial and managerial accounting, with an emphasis on actions managers can take to more effectively address the goals of the firm. Key topics covered include the preparation and analysis of financial statements, particularly creating cash flow statements needed for engineering economic analysis; consideration of variable costs, fixed costs, cost of goods sold, operating costs, product costs, and period costs; job costing and process costing; application of accounting information for decision-making: marketing decisions, production decisions; capital budgeting: depreciation and taxation; budgeting process, master budgets, flexible budgets, and analysis of budget variances; asset valuation, and inventory costing. The laboratory portion of the course provides the student opportunity to use the personal computer for solving problems related to the major topics of the course, such as spreadsheet analysis, and, in addition, covers managerial topics, including sessions focused on group dynamics and teamwork, research using the Internet, and business ethics/corporate governance (Sarbanes-Oxley).

EM 322 Engineering Design VI
(1-3-2)
Provides students with "hands-on" experience of management of New Product (Process) Development, which they can use in their senior design projects. Students will study the stages of product (technology) life-cycle from concept to discharge of a product. Study includes systems consisting of hardware and software design, manufacturing, testing, and installation based on the Integrated Product and Process Development (IPPD) model. Different tools for forecasting, optimization, and simulation are provided for students to identify the problem, select the project, form the team, and prepare proposals suitable for submission to a potential sponsor for the senior design capstone project. The Proposal is documented according to ISO 9000 Quality Management and ISO 14000 Environment Management Standards. Corequisites: EM 345, E 355, and EM 385.

EM 345 Modeling and Simulation
(3-0-3)
This course covers contemporary decision support models of forecasting, optimization, and simulation for management. Students will learn how to identify the problem situation, choose the appropriate methods, collect the data, and find the solution. The course also covers handling the information and generating alternative decisions based upon operations research optimization, statistical simulation, and systems dynamic forecasting. Computer simulations will be performed on PCs by user-friendly graphical interface with multimedia report generation for visualization and animation. Students will also be trained in management simulations for group decision support. Prerequisite: EM 365

EM 351 Management of Information Networks
(3-0-3)
This course will provide students with a sound foundation in the field of data communications, networking, and distributed processing systems, so that they can better understand and manage the information technology and systems that they will encounter in their careers. A comprehensive survey of communication protocols, hardware, and software required to deliver information from a source through a medium to a destination is included. Digital and analog media, security solutions, and network management requirements for data communication are introduced. Emphasis is on the managerial aspects of data communications.

EM 360 Total Quality Management
(3-0-3)
This course will provide the student with the underlying management concepts and principles of Total Quality Management (TQM) and how they apply to Engineering Management. The ideas and concepts of Frederick Winslow Taylor, Edward Deming, Joe Juran, Phil Crosby, Armand Fiegenbaum, and Karou Ishikawa will be presented and discussed in relation to how management thought has developed from Scientific Management to Quality Management. Discussion of the Baldridge and Deming awards will include how leadership, information and analysis, strategic quality planning, human resource utilization, quality assurance, and customer satisfaction relate to QM in Engineering Management. The use of Concurrent Engineering in Research, Design, and Engineering will be explored. The student will learn various TQM tools explored, such as Quality Function Deployment, Design for Cost, and Cost of Quality. The students will learn the methodology and techniques of Continuous Process Improvement and use this knowledge to analyze and correct defects as part of a team project.

EM 365 Statistics for Engineering Managers
(3-1.5-4)
Provides a working knowledge of basic statistics as it is most often applied in engineering. Topics include: fundamentals of probability theory, review of distributions of special interest in statistics, analysis and enumeration of data, linear regression and correlation, statistical design of engineering experiments, completely randomized design, randomized block design, factorial experiments, engineering applications, and use of the computer as a tool for statistical analysis. (Students with AP, transfer, or other credit for Statistics are still required to take the one-credit EM 364 Statistics Lab.)

EM 385 Innovative System Design
(3-0-3)
This project-based course addresses the fundamentals of systems engineering. Principles and concepts of systems engineering within a life-cycle perspective are presented through case studies and applied throughout the course to a student-selected team project. The initial focus is on the understanding of business drivers for systems engineering and the generation of innovative ideas. Students then engage in analysis, synthesis, and evaluation activities as they progress through the conceptual and preliminary design phases. Emphasis is placed on tools and methodologies for system evaluation during all phases of the design process with the goal of enhancing the effectiveness and efficiency of deployed systems, as well as reducing operational and support costs. Pre- or corequisite: EM 365.

EM 423-424 Engineering Management Design Project
(0-8-3) (0-8-3)
This year-long two-course sequence involves the students in a small-team Engineering Management project. The problem for the project is taken from industry, business, government, or a not-for-profit organization. Each student team works with a client and is expected to collect data, analyze it, and develop a design by the end of the first semester. In the second semester, the design solution of the problem is completed, and a written report is submitted for binding. During the year, oral and written progress reports are presented to peers and clients. The total project involves the application of the subject areas covered in the EM 385 Innovative Systems Design course, as well as skills learned in the other technical and non-technical courses of the Engineering Management curriculum. Prerequisites: EM 270, EM 275, E 355, EM 301, EM 322, EM 345, and EM 385.

EM 435 Business Process Re-engineering
(3-0-3)
This course covers the area of business analysis that includes enterprise technologies, supply chain management, engineering management, systems engineering, decision support systems, e-business, process operations and reengineering, technology consulting and analytical modeling, and the relating of Business Process Re-engineering to quality improvement. The course will be broken into two components, with the first focusing on implementing theory into action, showing use in process discovery and definition, diagnosis and improvement, design, support, and enactment. The second part of the course uses case studies to demonstrate applications of process engineering to improve efficiency. Most application and case studies are information technology-focused. Prerequisite: EM 365.

EM 450 Logistics and Operations Management
(3-0-3)
Students learn about planning, organizing, staffing, directing and controlling the production of goods, and providing service functions of an organization. Main stages of production cycle and components will include raw materials, personnel, machines, and buildings. Specific topics covered will include forecasting, product design and process planning, allocation of scarce resources, capacity planning and facility location, materials management, scheduling, office layout, and total quality management. Prerequisite: EM 457.

EM 457 Elements of Operations Research
(3-0-3)
Application of forecasting and optimization models to typical engineering management situations and problems. Topics include: optimization theory and its special topics (linear programming, transportation models, and assignment models), dynamic programming, forecasting models, decision trees, game theory, and queuing theory. Applications to resource allocation, scheduling and routing, location of facilities, and waiting lines will be covered. Prerequisite: EM 365.

TG 401 Entrepreneurship and Business for Engineers and Scientists
(3-0-3)
Aspects of entrepreneurship and business most relevant for technical people and the practice of Technogenesis. Investigates business-related considerations in successfully commercializing new technology. Exposes technologists to five critical aspects of creating a successful new venture and/or a successful product or service business within an existing enterprise: (1) market and customer analysis, (2) beating the competition, (3) planning and managing for profitability, (4) high-tech marketing and sales, and (5) business partnerships and acquisitions. Students should take this course if they: (1) desire to maximize their effectiveness as technologists by understanding the business and customer considerations that impact the work of technologists, (2) intend to lead or participate in a technology-based new venture/start-up, or (3) contemplate an eventual transition from a technical to a business management career. This course is intended for either advanced undergraduate or graduate students in engineering or science curricula. Also offered as TG 501. Prerequisite: Senior Standing.

TG 421 Entrepreneurial Analysis of Engineering Design
This course provides students with tools needed to commercialize their senior design technology. Topics include: engineering economic analysis and issues of marketing, venture capital, intellectual property, and project management. These topics are from the view of an entrepreneur who is creating knowledge that can be licensed and/or used in a start-up business. These topics are critical elements in implementing Technogenesis. Corequisite: E 423 or E 424.

EM 600 Engineering Economics and Cost Analysis
This course covers the fundamentals of engineering economics and basic accounting. It will help students understand how an organization can utilize its capital economically when it makes capital decisions. The three major learning objectives are to understand of the Economics of Engineering, which includes the Time Value of Money and the Mathematics of Finance (loans, mortgages, etc). Secondly, students need to know how to use Figures of Merit (NPV, IRR, BC, etc.) in making engineering design and business decisions. Lastly, students need to master After Tax Analysis (ATA) using the income statement format. An integrated model (Real Estate) is used to demonstrate how ATA is used to make decisions. ATA is the basis for venture analysis and includes income statements, balance sheets, FoMs, etc. These topics are essential to commercialize new technology, which is the basis for Technogenesis. Graded homework and exams help the student master the materials.

EM 605 Elements of Operations Research
This course brings a strong modeling orientation to bear on the process of obtaining and utilizing resources to produce and deliver useful goods and services, so as to meet the goals of the organization. Decision-oriented models, such as linear programming, inventory control, and forecasting, are discussed and then implemented utilizing spreadsheets and other commercial software. A review of the fundamentals of statistical analysis oriented toward business problems will also be conducted.

EM/SDOE 612 Project Management of Complex Systems
This project-based course exposes students to tools and methodologies useful for the effective management of systems engineering and engineering management projects. This course presents the tools and techniques for project definition, work breakdown, estimating, resource planning, critical path development, scheduling, project monitoring and control, and scope management. These tools will be presented within the context of a life-cycle and a systems approach. Students will be exposed to advanced project management software. Reinforcing these fundamentals in project management, the course will introduce advanced concepts in project management, and establish the building blocks for the management of complex systems.

EM 620 Engineering Cost Management
This course will provide an understanding of both the tools and models that can be used throughout the design, development, and support phases of a system to conduct trade-offs between system performance and life-cycle cost. The students will be exposed to the cost benefit analysis process as a strategic tool during system design and development consistent with the principles of Cost as an Independent Variable (CAIV). The students will also be exposed to the formulation of cost-estimating relationships in this context. The course will focus on the use of tools and the development of models from case studies.

EM 650 Quality and Process Management
Principles and techniques of total quality management (TQM) with emphasis on their application to technical organizations. Topics include: management philosophy, concepts, and critique of quality "Gurus"; TQM modeling and strategy; TQM tools and techniques; Dept. of Defense 5000.51-G TQM guides; review and critique of the Deming and Baldrige Awards; concurrent engineering; and quality function, deployment and design for cost. Students will form teams to analyze a case study involving TQM concepts and techniques.

EM 660 Production and Operations Management
Covers the general area of management of operations, both in manufacturing and non-manufacturing. The focus of the course is on productivity and total quality management. Topics include: quality control and quality management, systems of inventory control, work and materials scheduling, and process management.

EM/SDOE 665 Integrated Supply Chain Management
This course illustrates the theory and practice of designing and analyzing supply chains. It provides tool sets to identify key drivers of supply chain performance such as inventory, transportation, information, and facilities. Recognizing the interactions between the supply and demand components, the course provides a methodology for implementing integrated supply chains, enabling a framework to leverage these dynamics for effective product/process design, and enterprise operations.

EM/SDOE 680 Designing and Managing the Development Enterprise
This course introduces the attributes associated with the design and management of the human activity system that is responsible for designing, developing, testing, operating, and maintaining the system. It is built on a fundamental that the successful development of a system is directly contingent on the human system. Using foundational constructs related to network theory and the extended enterprise, it covers topics in Globalization and the extended enterprise; structure and design of organizations; organizational diversity; leadership and power; personality, attitude, and values; learning and perception; work motivation; group behavior and teamwork; conflict and politics; managing communication process; decision making; and organizational change and development. Case studies and academic research are used to provide a practical and advanced understanding of the subject.

EM 690 Selected Topics in Engineering Management
Selected topics from various areas within Engineering Management. This course is typically taught to more than one student and often takes the form of a visiting professor’s course. Prerequisite: consent of instructor.

EM 744 Advanced Data Analysis for Data Mining and Knowledge Discovery
This data driven course focuses on the subjects of both traditional and modern data analysis and mining techniques. The course emphasizes the analysis of business and engineering data using a combination of theoretical techniques and commercially available software to solve problems. Topics such as data analysis and presentation, linear and nonlinear regression, analysis of variance, factor analysis, cluster analysis, neural networks, and classification trees will be presented. The course will make extensive use of the Splus software packages. However, students will be encouraged to use a wide variety of industry standard data analysis and mining tools, including SPSS, SAS, MATLAB, and BrainMaker.

EM 800 Special Problems in Engineering Management*
Three credits for the degree of Master of Engineering (Engineering Management). This course is typically conducted as a one-on-one course between a faculty member and a student. A student may take up to two special problems courses in a master’s degree program. A department technical report is required as the final product for this course. Prerequisite: consent of instructor.

EM 801 Special Problems in Engineering Management*
Three credits for the degree of Doctor of Philosophy. This course is typically conducted as a one-on-one investigation of a topic of particular interest between a faculty member and a student and is often used to explore topical areas that can serve as a dissertation. A student may take up to two special problems courses in a Ph.D. degree program. A department technical report is required as the final product for this course. Prerequisite: consent of instructor.

EM 900 Thesis in Engineering Management*
For the degree of Master of Engineering (Engineering Management). A minimum of six credit-hours is required for the thesis. Hours and credits to be arranged.

EM 960 Research in Engineering Management*
Original work, which may serve as the basis for the dissertation, required for the degree of Doctor of Philosophy. A minimum of 30 credit-hours of EM 960 research is required for the Ph.D. degree. Hours and credits to be arranged.

ES/SDOE 621 Fundamentals of Enterprise Systems
Traditional systems engineering techniques must be adapted to understand a broader class of human-designed systems that we refer to as an enterprise, of which a technical system is only one part. Students will learn how describe the value of systems engineering on complex projects, provide a (common) global view of the system and enterprise, elicit and write good requirements, and understand how to develop robust and efficient architectures. Students should complete this class with “next steps” knowledge of tools, templates, capability patterns, and community. Case studies and examples are used throughout to give students an appreciation of how systems engineering tools, techniques, and thinking can be applied to the real world enterprises that we encounter daily.

ES/SDOE 675 Systems Thinking
It takes something special for the term "system" to have such ubiquity. The downside is that it is overused, improperly so, detracting from its power. This class builds upon a solid conceptual foundation to ensure that the system/enterprise is properly defined, conceived, and realized. Uniquely, the class shows how it is possible to use systems in order to think more deeply and to act more decisively. This approach is made possible by emphasizing the simultaneity of perspectives, the role of paradox, and the centrality of soft issues in resolving complexity. The Systemitool™ is used to structure and conduct analysis of decisions. This class is aimed at policy and decision-makers at all levels in an organization. Prerequisite: SYS 625 or ES 621.

ES/SDOE 677 Enterprise and Organizational Governance
For a variety of business reasons, today’s business and government organizations are demonstrating a heightened interest in governance. Development programs and organizations have unique governance concerns due to inherent uncertainty of development efforts. Moving beyond platitudes, this course introduces modern concepts of organizational governance and their application to organizations that develop systems and products. Course topics include the business climate forcing an emphasis on governance; a general governance framework, including definitions of governance elements; governance as a process; governance solutions for the development teams; development governance styles; and advanced topics.

ES/SDOE 678 Engineering of Agile Systems and Enterprises
Real-time responsiveness characterizes systems at the forefront of competition, enterprise, strategy, warfare, governance, innovation, engineering, development, information, integration, and virtually anything designed today for purpose. This course covers fundamental objectives, performance metrics, analysis frameworks, and design principles for engineering agile and resilient systems. Real examples are analyzed in case studies for their change proficiency and response ability. Response capability frameworks are applied in analysis and requirements development. Architecture and design principles which enable resilient and innovative response are illuminated and then applied in synthesis exercises. Hands-on, minds-on exercises prepare and guide the participant in applying the knowledge. Systems for case study and focus can run the range from products and processes, to governance and infrastructure, to enterprises and systems of systems.

ES/SDOE 679 Architecting the Extended Enterprise
This course presents a systems architecting process to achieve enterprise integration both within and between corporate boundaries. The process leverages systems thinking - the antithesis of scientific reductionism, which fails to appreciate the interrelationships between components that make up a system. Systems thinking has proven to be successful in the delivery of integrated technology products, and is now being applied to understanding the structure and dynamics of organizations for which communications and co-stuff in general is a key to business success; in other words, inter-relationships are prime in managing an enterprise. The systems approach further emphasizes emergence, wider systems, and the environment. These concepts are crucial to architecting an enterprise in consideration of issues of decentralization, alliance advantage, and market phenomena. Prerequisite ES 675.

ES/SDOE 683 Design of Agile Systems and Enterprises
The frontier of systems engineering today seeks new levels of system capability and behavior, and expects to find that benefit in higher forms of systems that elude traditional control and creation concepts. Common themes converge here in a study of agility across a seemingly wide variety of interesting system types, characterized principally by aspects of self-organization and systems of systems. Esthetic quality in systems and enterprises makes the difference between enforced compliance and embraced experience, and determines the positive or negative vectors of self-organization and emergence. This module explores the value and nature of esthetic design quality, principles and architectures for harnessing self-organized systems of systems, agility as risk management and reality confrontation, and similar issues at the edge of agile system and enterprise knowledge.

ES 690 Selected Topics in Enterprise Systems
Selected topics from various areas within Enterprise Systems. This course is typically taught to more than one student and often takes the form of a visiting professor’s course. Prerequisite: consent of instructor.

ES 800 Special Problems in Enterprise Systems*
Three credits for the degree of Master of Science (Enterprise Systems). This course is typically conducted as a one-on-one course between a faculty member and a student. A student may take up to two special problems courses in a master’s degree program. A department technical report is required as the final product for this course. Prerequisite: consent of instructor.

ES 801 Special Problems in Enterprise Systems*
Three credits for the degree of Doctor of Philosophy. This course is typically conducted as a one-on-one one investigation of a topic of particular interest between a faculty member and a student and is often used to explore topical areas that can serve as a dissertation. A student may take up to two special problems courses in a Ph.D. degree program. A department technical report is required as the final product for this course. Prerequisite: consent of instructor.

ES 900 Thesis in Enterprise Systems*
For the degree of Master of Science (Engineering Systems). A minimum of six credit-hours is required for the thesis. Hours and credits to be arranged.

ES 960 Research in Enterprise Systems*
Original work, which may serve as the basis for the dissertation, required for the degree of Doctor of Philosophy. A minimum of 30 credit-hours of ES 960 research is required for the Ph.D. degree. Hours and credits to be arranged.

Financial Engineering

FE 510 Introduction to Financial Engineering
This course introduces a range of topics that the current scope of financial engineering encompasses. Topics include: basic terminology and definitions, markets, instruments, positions, conventions, cash flow engineering, simple derivatives, mechanics of options, derivatives engineering, arbitrage-free theorem, efficient market hypothesis, introductory pricing tools, and volatility engineering. This course has no prerequisites and does not count towards the Master’s degree in Financial Engineering.

FE 590 Introduction to Knowledge Engineering
Introduction to information theory: the thermodynamic approach of Shannon and Brillouin; data conditioning, model dissection, extrapolation, and other issues in building industrial strength data-driven models; pattern recognition-based modeling and data mining: theory and algorithmic structure of clustering, classification, feature extraction, Radial Basis Functions, and other data mining techniques; non-linear data-driven model building through pattern identification and knowledge extraction; adaptive learning systems and genetic algorithms; case studies emphasizing financial applications: handling financial, economic, market, and demographic data; and time series analysis and leading indicator identification.

FE 610 Stochastic Calculus for Financial Engineers
This course provides the mathematical foundation for understanding modern financial theory. It includes topics such as basic probability, random variables, discrete continuous distributions, random processes, Brownian motion, and an introduction to Ito's calculus. Applications to financial instruments are discussed throughout the course.

FE 620 Pricing and Hedging
This course deals with basic financial derivatives theory, arbitrage, hedging, and risk. The theory discusses Ito’s lemma, the diffusion equation and parabolic partial differential equations, and the Black-Schools model and formulae. The course includes applications of asset price random walks, the log-normal distribution, and estimating volatility from historic data. Numerical techniques, such as finite difference and binomial methods, are used to value options for practical examples. Financial information and software packages available on the Internet are used for modeling and analysis. Prerequisites: Multivariable Calculus, FE 610, and programming in C, C++, or Java.

FE 621 Computational Methods in Finance
This course provides computational tools used in industry by the modern financial analyst. The current financial models and algorithms are further studied and numerically analyzed using regression and time series analysis, decision methods, and simulation techniques. The results are applied to forecasting involving asset pricing, hedging, portfolio and risk assessment, some portfolio and risk management models, investment strategies, and other relevant financial problems. Emphasis will be placed on using modern software. Prerequisite: FE 610.

FE 630 Portfolio Theory and Applications
This course introduces the modern portfolio theory and optimal portfolio selection using optimization techniques, such as linear programming. Topics include: contingent investment decisions, deferral options, combination options, and mergers and acquisitions. Prerequisites: FE 620, FE 621.

FE 680 Advanced Derivatives
This course deals with fixed-income securities and interest-rate sensitive instruments. Topics include: term structure of interest rates, treasury securities, strips, swaps, swaptions, one-factor, two-factor interest rate models, Heath-Jarrow-Merton (HJM) models, and credit derivatives: credit default swaps (CDS), collateralized debt obligations (CDOs), and Mortgage-backed securities (MGS). Prerequisite: FE 620.

FE 800 Project in Financial Engineering*
Three credits for the degree of Master of Science (Financial Engineering). This course is typically conducted as a one-on-one course between a faculty member and a student. A student may take up to two special problems courses in a master’s degree program. A department technical report is required as the final product for this course. Prerequisite: consent of instructor.

FE 900 Master’s Thesis in Financial Engineering*
For the degree of Master of Science (Financial Engineering). A minimum of six credit-hours is required for the thesis. Hours and credits to be arranged.

SYS 501 Probability and Statistics for Systems Engineering
This course is designed for students with a background in engineering, technology, or science that have not taken a class in statistics or need a refresher class. In this class, we will apply probability and statistics throughout a system’s life-cycle. Topics include: the roles of probability and statistics in Systems Engineering, the nature of uncertainty, axioms and properties of probability models and statistics, hypothesis testing, design of experiments, basic performance requirements, quality assurance specification, functional decomposition, technical performance measurements, statistical verification, and simulation.

SYS 595 Design of Experiments and Optimization
This course is application-oriented, with theoretical arguments approached from an intuitive level rather than from a rigorous mathematical approach. This course teaches the student how statistical analyses are performed, while assuring the student an understanding of the basic mathematical concepts. The course will focus on real-world uses of statistical analysis and reliability theory to solve real-world problems. The student will use the software that is included in the textbook to solve problems. This course will also demonstrate Markov modeling techniques.

SYS/SDOE 605 Systems Integration
This course is designed to provide students with an understanding of Systems Integration (SI) process, approaches, drivers, tools and techniques required for successful SI, critical success factors, and best practices. The objective of the course is to provide the students an understanding of the issues involved in systems integration. Systems integration process is illustrated over the life-cycle concept of projects - during design, development, implementation, testing, and production. Case studies and examples from the Information Technology (IT), aerospace, and defense industries will be used to illustrate the concepts discussed. The students will learn the theory and practice of business process integration, legacy integration, new systems integration, integration of commercial-off-the-shelf (COTS) products, interface control and management, and testing.

SYS/SDOE 611 Modeling and Simulation
This course emphasizes the development of modeling and simulation concepts and analysis skills necessary to design, program, implement, and use computers to solve complex systems/products analysis problems. The key emphasis is on problem formulation, model building, data analysis, solution techniques, and evaluation of alternative designs/processes in complex systems/products. Overview of modeling techniques and methods used in decision analysis, including Monte Carlo and discrete event simulation, is presented.

SYS/SDOE 625 Fundamentals of Systems Engineering
This course discusses fundamentals of systems engineering. Initial focus is on need identification and problems definition. Thereafter, synthesis, analysis, and evaluation activities during conceptual and preliminary system design phases are discussed and articulated through examples and case studies. Emphasis is placed on enhancing the effectiveness and efficiency of deployed systems while concurrently reducing their operation and support costs. Accordingly, course participants are introduced to methods that influence system design and architecture from a long-term operation and support perspective. Crosslisted as CPE 625.

SYS 630 Level I Certification Examination
This will test the knowledge of students who have achieved the equivalent of Level I certification through the Defense Acquisition University. Typically students take 80 hours of training for this certification level equivalent. Upon successful completion (graded pass/fail), students will be awarded three credits toward a Master of Engineering in Systems Engineering degree. Tuition for this exam will be 1/3 of the current tuition for a three credit-hour class.

SYS 631 Level II Certification Examination
This will test the knowledge of students who have achieved the equivalent of Level II certification through the Defense Acquisition University. Typically, students take more than 160 hours of training for this certification level equivalent. Upon successful completion (graded pass/fail), students will be awarded between 3 and 6 credits toward a Master of Engineering in Systems Engineering degree. Tuition for this exam will be 1/3 of the current tuition for a three credit-hour class.

SYS/SDOE 640 System Supportability and Logistics
The supportability of a system can be defined as the ability of the system to be supported in a cost-effective and timely manner, with a minimum of logistics support resources. The required resources might include test and support equipment, trained maintenance personnel, spare and repair parts, technical documentation, and special facilities. For large complex systems, supportability considerations may be significant and often have a major impact upon life-cycle cost. It is therefore particularly important that these considerations be included early during the system design trade studies and design decision-making.

SYS/SDOE 645 Design for Reliability, Maintainability, and Supportability
This course provides the participant with the tools and techniques that can be used early in the design phase to effectively influence a design from the perspective of system reliability, maintainability, and supportability. Students will be introduced to various requirements definition and analysis tools and techniques, including quality function deployment, input-output matrices, and parameter taxonomies. An overview of the system functional analysis and system architecture development heuristics will be provided. Further, the students will learn to exploit this phase of the system design and development process to impart enhanced reliability, maintainability, and supportability to the design configuration being developed. Given the strategic nature of early design decisions, the participants will also learn selected multi-attribute design decision and risk analysis methodologies, including Analytic Hierarchy Process (AHP). As part of the emphasis on maintainability, the module addresses issues such as accessibility, standardization, modularization, testability, mobility, interchangeability and serviceability, and the relevant methods, tools, and techniques. Further, the students will learn to exploit this phase of the system design and development process to impart enhanced supportability to the design configuration being developed through an explicit focus on configuration commonality and interchangeability, use of standard parts and fasteners, adherence to open system standards and profiles, and use of standard networking and communication protocols. Examples and case studies will be used to facilitate understanding of these principles and concepts.

SYS/SDOE 650 System Architecture and Design
This course discusses the fundamentals of system architecting and the architecting process, along with practical heuristics. Furthermore, the course has a strong "how-to" orientation, and numerous case studies are used to convey and discuss good architectural concepts, as well as lessons learned. Adaptation of the architectural process to ensure effective application of COTS will also be discussed. In this regard, the course participants will be introduced to an architectural assessment and evaluation model. Linkages between early architectural decisions, driven by customer requirements and concept of operations, and the system operational and support costs are highlighted. Prerequisite: SYS 625.

SYS/SDOE 655 Robust Engineering Design
This course is designed to enable engineers, scientists, and analysts from all disciplines to recognize potential benefits resulting from the application of robust engineering design methods within a systems engineering context. By focusing on links between sub-system requirements and hardware/software product development, robust engineering design methods can be used to improve product quality and systems architecting. Topics such as design and development process and methodology, need analysis and requirements definition, quality engineering, Taguchi methods, design of experiments, introduction to response surfacem methods, and statistical analysis of data will be presented.

SYS/SDOE 660 Decision and Risk Analysis
This course is a study of analytic techniques for rational decision-making that addresses uncertainty, conflicting objectives, and risk attitudes. This course covers modeling uncertainty; rational decision-making principles; representing decision problems with value trees, decision trees, and influence diagrams; solving value hierarchies; defining and calculating the value of information; incorporating risk attitudes into the analysis; and conducting sensitivity analyses. Prerequisite: course in Probability and Statistics.

SYS 670 Forecasting and Demand Modeling Systems
This course covers the theory and application of modeling aggregate demand, fragmented demand, and consumer behavior using statistical methods for analysis and forecasting for facilities, services, and products. It also aims to provide students with both the conceptual basis and tools necessary to conduct market segmentation studies, defining and identifying criteria for effective segmentation, along with techniques for simultaneous profiling of segments and models for dynamic segmentation. All of this provides a window on the external environment, thereby contributing input and context to product, process and systems design decisions, and their ongoing management.

SYS/SDOE 675 Dynamic Pricing Systems
Dynamic pricing is defined as the buying and selling of goods and services in free markets where the prices fluctuate in response to supply and demand. This course illustrates the difference between static and dynamic pricing, and covers various dynamic pricing models and methodologies for successful pricing. This course also illustrates the fact that effective pricing optimization is based on modeling of demand and elasticity of demand at a very granular level. It will explore various dynamic pricing models and explore and identify factors relevant in choosing dynamic pricing models that best support the operational effectiveness, external environment, and business strategy of a particular firm.

SYS 681 Dynamic Modeling of Systems and Enterprises (Module Version is SDOE 681)
The course introduces students to system dynamics models of business policy analysis and forecasting of associated management problems of complex systems and enterprise. The course covers advanced techniques of policy and strategy development applications: system thinking and modeling dynamics of growth and stability, including interaction of human factors with the technology. The tools of increasing power and complexity are offered for student’s business and management applications: causal feedback diagrams, technology process graphs, information processing flowcharts, decision scenarios. Students will get hands-on training in systems modeling by STELLA and AnyLogic software languages and perform their own case studies of real system of technology and/or business development. Prerequisite: Course in statistics.

SYS 690 Selected Topics in Systems Engineering
Selected topics from various areas within Systems Engineering. This course is typically taught to more than one student and often takes the form of a visiting professor’s course. Prerequisite: consent of instructor.

SYS 800 Special Problems in Systems Engineering*
Three credits for the degree of Master of Engineering (Systems Engineering). This course is typically conducted as a one-on-one course between a faculty member and a student. A student may take up to two special problems courses in a master’s degree program. A department technical report is required as the final product for this course. Prerequisite: consent of instructor.

SYS 801 Special Problems in Systems Engineering*
Three credits for the degree of Doctor of Philosophy. This course is typically conducted as a one-on-one one investigation of a topic of particular interest between a faculty member and a student and is often used to explore topical areas that can serve as a dissertation. A student may take up to two special problems courses in a Ph.D. degree program. A department technical report is required as the final product for this course. Prerequisite: consent of instructor. Students enrolled in the SDOE program should enroll in course number SDOE 801.

SYS 900 Thesis in Systems Engineering*
For the degree of Master of Engineering (Systems Engineering). A minimum of six credit-hours is required for the thesis. Hours and credits to be arranged.

SYS 960 Research in Systems Engineering*
Original work, which may serve as the basis for the dissertation, required for the degree of Doctor of Philosophy. A minimum of 30 credit-hours of SYS 960 research is required for the Ph.D. degree. Hours and credits to be arranged.

(1) The list indicates the highest earned degree, year awarded and institution where earned.

(2) While the weeklong format is the most popular modular format, the SDOE program also offers the ability to tailor the modular structure in a variety of options. Examples of such tailoring include, five concurrent Fridays, every other Friday for 10 weeks, and so on.

(3) The SDOE course designation simply means that this course is taught in the one-week modular format as previously described.

(4) All Graduate courses are 3 credits except where noted.