Ryan and Staff

The practice of management as applied within technical organizations. Includes history of the tradition and current effective practices, research findings, and case studies, with objectives of enhanced understanding of external and internal factors influencing organizational performance and leadership requirements. (Fall, spring, and summer)

Ryan and Staff

The behavior of individuals and groups in the context of technical organizations, focusing on relationships and interactions within the organization's operating activities. Individual and group development and motivation. Organizational structures and cultures. (Fall and spring)

Murphree and Staff

Study of the total contracting process (including initial budget preparation and justification, execution of a contract, and administration of the contract to completion) considered from the viewpoints of the industrial and government buyer and the seller of technical materials and services. (Fall)

Ryan and Staff

Legal principles and procedures of interest to engineers. The American legal system, contracts and specifications, liability of professional engineers, product liability, agency relationships, patent and proprietary rights, special problems in research and development contracts. (Spring)

Mazzuchi and Staff

Problem formulation. Concepts and techniques used in analyzing complex decision problems. Modeling decision problems using decision trees, probability models, multi-objective models and utility theory. (Fall, spring, and summer)

Eisner and Staff

Contextual background and intellectual basis for addressing technology issues in the public and private sectors. Technology impact assessment, forecasting, and innovation; principles and practices of technology transfer as elements of a systematic approach to making technology decisions. (Fall, odd years)

Murphree and Staff

Essential features of technology-based companies from the entrepreneur's point of view. Team preparation of a simulated business plan for a technology-based company. Designed for those working in technical firms and for government personnel who depend on technical firms as suppliers. (Spring, odd years)

Ryan and Staff

Concepts and methods for understanding the dynamics of technological change. Issues in technology assessment, technology transfer, and strategic management of technology. (Spring, even years)

Ryan and Staff

Analysis of industrial marketing process and functions, providing concepts and tools for engineering managers to market high technology products and services. (Fall, odd years)

Murphree and Staff

Seminar on readings and classic and contemporary case studies in the strategic management of innovation and technology. (Fall and spring)

Sarkani and Staff

Capstone project providing the opportunity to apply concepts and tools previously studied to the solution of a real-world problem. Students work in small groups, on a problem proposed by students and approved by the instructor. Open only to master's candidates in the department, preferably during the last year of their program. (Fall and spring)

Deason and Staff

Exploration of the policy development process from several different but integrated perspectives. Focus on areas of environmental and energy management and use of current case studies to develop a framework of understanding to support decisions in a broad variety of management settings. (Fall, odd years)

Deason and Staff

Technical, economic, political, administrative, and social forces influencing the quality of the environment and the use of resources. Government and industrial programs to combat pollution of the air, soil, and water; existing and pending pertinent legislation; theoretical aspects of specific management problems. (Fall)

Deason and Staff

The nature of critical local, regional, continental, and global problems associated with air pollution and the historical evolution of such problems. The complex regulatory and institutional framework controlling air quality management in the U.S. Current air quality management concepts and processes. (Spring)

Deason and Staff

Hazardous waste management and cleanup processes used in the U.S. and around the world. The roles of the relevant federal, state, and local government agencies; major hazardous waste laws and regulations. Planning, assessment, investigation, design, and construction phases of hazardous waste remediation projects. (Spring, even years)

Deason and Staff

The nature of point and non-point sources of surface and ground water pollution and the statutory, regulatory, and institutional framework controlling water quality management activities in the U.S. Current approaches to water quality protection and enhancement. The role of engineered treatment processes in water quality management. (Fall)

Deason and Staff

Geological, meteorological, radiological, chemical, and biological hazards facing the United States and international communities. Organizational responsibilities for hazard identification and risk management. Communication and perceptions of vulnerability and risk. Challenges to local governments and communities. (Spring, even years)

Deason and Staff

A survey course in environmental management, focusing on tools to assess the environment: quantitative risk assessment, environmental valuation methodologies, Congressional activities, and environmental laws. The regulatory process as it relates to environmental management. Risk assessment and modeling approaches to solving environmental problems. (Spring, odd years)

Deason and Staff

Examination of the range of available energy resources, trends in their use, the programs and organizations that have developed and evolved to address problems associated with energy resource use. (Spring)

Deason and Staff

Analytical tools needed to manage energy resources at the facility level. Energy technologies: instrumentation, measurement, and control. Energy auditing; conservation techniques, financial and economic analysis, and maintenance of energy budgets. Functions of an energy management office of a large organization. (Fall, even years)

Shaw and Staff

The evolution of homeland security as a concept, legal framework, and redirection of national policies and priorities. Issues and problems of implementation. The terrorist threat and U.S. responses. Fundamental policy legislation and documents, such as national security strategies, homeland security decision directives, the NRF, and NIMS. (Spring)

Barbera and Staff

Defining crises, emergencies, and disasters. Developing crisis, business continuity, and incident management plans. The National Response Framework, National Incident Management System, organizing for response, managing the response organization, managing in a turbulent environment, crisis decision making and communication. (Fall)

Shaw and Staff

The role of information in crisis and response management; determining disaster and crisis information requirements; information technologies applied to crisis, disaster, and emergency management; causes and effects of information breakdowns during crises and disasters. (Spring)

Shaw and Staff

Development of concepts required for risk-based planning and risk management. Objectives and methods for vulnerability assessment for natural disaster, technological hazards, and terrorist threats. Risk analysis, risk perception, risk communication, risk mitigation. (Fall)

Barbera and Staff

Guiding principles, key institutions, operational requirements, policy issues, and broad fundamentals associated with international disaster risk reduction and humanitarian response to natural and man-made disasters and complex emergencies. (Fall)

Barbera and Staff

Medical and public health management issues encountered in crises, emergencies, and disasters for non-medical emergency managers. The spectrum of medical, public health, psychological and behavioral problems; incident management organization and processes that address these concerns and integrate medical and public health assets into the response. (Spring)

Barbera and Staff

Terrorism, terrorist methods, and human/infrastructure vulnerability. Current preparedness and response programs. Mitigation, preparedness, and response requirements to manage mass terrorism incidents within the context of all-hazard emergency management. Case studies. (Fall)

Shaw and Staff

Key concepts of geographic information systems; GIS-based analysis for emergency management; domain-specific GIS applications; hands-on GIS software training; case studies on different aspects of emergency and disaster management. Prerequisite: EMSE 6310 or permission of instructor. (Fall)

Staff

Same as Geog 6221.

Shaw and Staff

Disaster recovery planning and business continuity. Recovery of information and communication systems. The role of the private sector in mitigation and recovery. Public/private partnerships in community reconstruction and recovery. (Spring)

Shaw and Staff

Hazard mitigation and its role in disaster management; analysis of past and current government and private-sector programs; examination of new approaches; structural versus nonstructural actions; mitigation of terrorist attacks. (Fall)

Duffey and Staff

Survey of material relevant to financial decision making for engineering activity. Includes traditional engineering economy topics; fundamentals of accounting; and financial planning, budgeting, and estimating applicable to the management of technical organizations. (Fall, spring, and summer)

Duffey and Staff

Case studies in engineering economic analysis, capital budgeting, benefit-cost analysis, and other cost-related methodologies relevant to engineering managers. Prerequisite: EMSE 6410 or permission of instructor. (Fall)

Duffey and Staff

Financial analysis and concepts useful to engineers: sources and uses of funds, management of working capital, leverage, valuation, forecasting, investment decisions. Prerequisite: EMSE 6410. (Fall)

Quantitative Methods in Cost Engineering (3)

van Dorp and Staff

Fitting exponential growth curves using cost data for forecasting; multiperiod capital budgeting using the analytical hierarchy process and optimization; and project network risk analysis. Case studies highlight theoretical complexities in solving problems. (Spring)

Staff

The foundations of knowledge management, including cultural issues, technology applications, organizational concepts and processes, management aspects, and decision support systems. Case studies. (Fall)

Staff

A capstone course. Students work in teams, applying principles and processes of systems thinking, systems engineering, and integrative management in the design and implementation of a knowledge management system. Prerequisite: EMSE 6505. (Spring)

Ryan and Staff

Theory of decision making-a cognitive view. Modeling decision maker heuristics and processes. Design, implementation, and evaluation of state-of-the-art DSS (hands-on). Assess impact of behavioral, situational, and organizational variables. (Fall)

Ryan and Staff

National security concerns of governments and business about attacks across national borders and through physical protective mechanisms. The emergence of information technologies, from casual to full-fledged operational scale, to advance causes. Specific examples (e.g., attacks on Estonia, Palestinian conflict). (Spring)

Management of Information and Systems Security (3)

Ryan and Staff

Development and management of effective security systems. Includes information, personnel, and physical security. Emphasis on risk analysis for information protection. (Fall and spring)

Ryan and Staff

Advanced topics in protection of information assets and systems, including authentication, asset control, security models and kernels, physical security, personnel security, operational security, administrative security, security configuration management, and resource control. Prerequisite: EMSE 6540. (Fall and spring)

Ryan and Staff

Methods for detecting problems with unauthorized activity in information systems and management challenges associated with those activities. Prerequisite: EMSE 6540. (Spring)

Ryan and Staff

Legal issues regarding control of behavior, information security mechanisms, and information systems engineering in connected enterprises. Specific laws and regulations governing Internet and on-line activity, jurisdictional challenges associated with networked computing, and business law in cyberspace. (Fall)

Ryan and Staff

Legal issues regarding information security actions related to and in response to criminal activity, including industrial espionage, back-hacking, cracking, and cyberterrorism. Transnational issues, cybercrime treaties and conventions, and cyberwar issues. Prerequisite: EMSE 6545. (Spring)

Ryan and Staff

Discovery and analysis of competitive information from open-source intelligence. Sources and methods for data collection; legal issues and constraints; analysis processes; longitudinal aspects; inference. (Fall)

Ryan and Staff

The use of information in organizations, the management of the information resource; the impact of information and communication technology. (Spring)

Ryan and Staff

Principles of good e-business management. Methods of conducting e-commerce-major opportunities, limitations, issues, and risks. Popular technologies for building e-businesses, security authentication, privacy, acceptable use policies, and legal limits. (Fall, odd years)

Mazzuchi and Staff

Methods and techniques for discovering patterns and relationships in aggregated data, with practical focus on engineering problems. Tools, techniques, and methods explored in the context of their application. Prerequisite: EMSE 6020, 6586. (As required)

Ryan and Staff

Introduction to analysis and design of information systems including requirements analysis, project management, and software architectures. Introduction to CASE tools. Prerequisite: EMSE 6570 or permission of instructor. (Fall, even years)

Ryan and Staff

The object-relationship model and the object-behavior model. Managing complexity with views and high-level modeling in object-oriented systems analysis. The concepts, the method, and applications, including object-based and object-oriented languages. Prerequisite: EMSE 6580. (As required)

Stankosky and Staff

History of AI, expert systems, knowledge representation, search and control techniques, natural language processing, computer vision, computer speech, knowledge-based systems, and evidential reasoning. Hands-on experience with a knowledge-based shell. (Spring)

Database Design and Database Management Systems (3)

Ryan and Staff

Concepts, strategies, and features of database design and management. Analysis, design, and implementation of database systems for micro and mainframe applications. Development of a microcomputer database system. (Spring)

Software Project Development with CASE (3)

Ryan and Staff

Evaluation and selection of CASE tools, use of CASE tools in software design/project. Graphical user interface and re-engineering tools. Open only to master's candidates in the department during the last semester of their program. Prerequisite: EMSE 6580. (Spring, even years)

Ryan and Staff

Technical and managerial aspects of data communications, with emphasis on communication networks. Methodologies used in data communications, communication networks, and distributed data processing. (As required)

Abeledo and Staff

Deterministic and stochastic methods. Optimization algorithms: Simplex method, Branch and Bound, combinatorial algorithms, heuristic methods. Optimization theory: convexity, duality, sensitivity analysis. Stochastic optimization: marginal analysis, Markov chains, Markov decision processes. Prerequisite: ApSc 3115 or EMSE 6020, Math 2233, or permission of instructor. (Spring)

Abeledo and Staff

Mathematical foundations of optimization theory: linear algebra, advanced calculus, convexity theory. Geometrical interpretations and use of software. Prerequisite: Math 2233. (Spring)

Abeledo and Staff

Analysis of linear, integer, and nonlinear optimization models of decision problems that arise in industry, business, and government. Modeling techniques and applications; use of optimization software to solve models. Prerequisite: EMSE 6850 or permission of instructor. (Fall)

Staff

Mathematical models of conflict and cooperation with applications in economics, business, defense, transportation, and societal issues (voting schemes, fair division, auctions). Concept and computation of equilibrium in n-person games. Prerequisite: Math 2233 or permission of instructor. (Fall)

Abeledo and Staff

Selected topics from the fields of linear programming, nonlinear programming, dynamic programming, heuristics, and constraint programming. May be repeated for credit provided the topic differs. Prerequisite: EMSE 6701 or permission of instructor. (As required)

Abeledo and Staff

Combinatorial optimization problems: algorithms and applications. Network problems: minimum spanning tree, shortest path, maximum flows, minimum cost flows, optimal matchings, routing problems. Complexity theory. Enumeration and cutting plane methods for solving integer programs. Prerequisite: EMSE 6701 or permission of instructor. (As required)

Systems Thinking and Policy Modeling I (3)

Staff

Introduction to systems thinking and the system dynamics approach to policy analysis, with applications to business management and public policy. Causal-loop and stock and flow models of business growth, technology adoption, and marketing. Use of role-based games to explain key principles of systems. Use of simulation software to model problems and case studies. (Fall)

Systems Thinking and Policy Modeling II (3)

Staff

Case studies in dynamic policy analysis. Use of microcomputers in simulation. The class collectively models and simulates a social system to explore policy options. Prerequisite: EMSE 6740. (Spring, odd years)

Stochastic Foundations of Operations Research (3)

Mazzuchi and Staff

Topics in probability theory, stochastic processes, and statistical inference. Foundations of probability, conditional probability and expectation, Poisson processes, Markov chains, and Brownian motion. Prerequisite: ApSc 3116 or permission of instructor. (Fall)

Quality Control and Acceptance Sampling (3)

Mazzuchi and Staff

Statistical approaches to quality assurance. Single and multivariate control charts, acceptance sampling by attributes and variables, process capability and design of experiments. Prerequisite: ApSc 3115 or permission of instructor. (Spring)

van Dorp and Staff

Simulation of discrete stochastic models. Simulation languages. Random-number/random-variate generation. Statistical design and analysis of experiments, terminating/nonterminating simulations; comparison of system designs. Input distributions, variance reduction, validation of models. Prerequisite: ApSc 3115; CSci 1121, 1041, or 1111; or permission of instructor. Same as Stat 4173. (Spring)

Data Analysis for Engineers and Scientists (3)

Mazzuchi, van Dorp, and Staff

Design of experiments and data collection. Regression, correlation, and prediction. Multivariate analysis, data pooling, data compression. Model validation. Prerequisite: ApSc 3115. (Fall and spring)

Techniques of Risk Analysis and Management (3)

Mazzuchi, Sarkani

Topics and models in current risk analysis; modern applications of risk-based planning and risk management; use of quantitative methods in risk analysis. (Spring)

Mazzuchi and Staff

Quantitative methods in model building for logistics systems, including organization, procurement, transportation, inventory, maintenance, and their interrelationships. Stresses applications. Prerequisite: ApSc 3115, Math 1232. (Spring, odd years)

Eisner and Staff

Systems approach to the architecting and engineering of large-scale systems; elements of systems engineering; methods and standards; computer tools that support systems and software engineering; trends and directions; the integrative nature of systems engineering. (Fall, spring, and summer)

Eisner and Staff

Application of systems engineering tools to provide hands-on experience with essential elements of practice. Processes of requirements engineering, functional analysis and allocation, risk management, architecting; architectural heuristics, axiomatic design, analytical assessment of alternative architectures. Prerequisite: EMSE 6801. (Spring)

Eisner and Staff

The systems or holistic approach as a methodology for making decisions and allocating resources. Analysis by means of objectives, alternatives, models, criteria, and feedback. Prerequisite: EMSE 6020 or equivalent. (Fall)

Sarkani and Staff

Requirements in systems engineering, including requirement types, quality factors, elicitation methods, analysis, derivation of implicit requirements, management, traceability, verification, cross-requirement assessments, and validation. Focus on writing and managing quality requirements in complex systems. (Fall)

Eisner and Staff

Problems in managing projects; project management as planning, organizing, directing, and monitoring; project and corporate organizations; duties and responsibilities; the project plan; schedule, cost, earned-value and situation analysis; leadership; team building; conflict management; meetings, presentations, and proposals. (Fall and spring)

Staff

Developing project cost and resource estimates during the planning stages. Monitoring, forecasting, and controlling cost throughout the project life cycle. Project quality planning, assurance, and control. Relationships among project scope, time, cost, quality, human resources, communications, procurement, and risk. Preparation for the Project Management Professional examination. Prerequisite: EMSE 6820. (As required)

Ryan and Staff

Study of the human-machine interface applied to system design, job design, and technology management. Human sensory-motor, perceptual, and cognitive functions; task analysis and allocation; contextual aspects of human factors engineering. Modeling, design, and evaluation methodologies. Applications to user-centered industrial and information systems. (As required)

Applied Enterprise Systems Engineering (3)

Sarkani and Staff

Applications of systems engineering in the DoD, other parts of the federal government, and commercial sectors. Architectural frameworks and enterprise architecting concepts and practices, including JCIDS/DODAF, Federal Enterprise Architecture Framework, and Zachman™ Framework. Enterprise architecting and advanced modeling tools. Prerequisite: EMSE 6805. (Spring)

Quantitative Models in Systems Engineering (3)

Abeledo and Staff

Quantitative modeling techniques and their application to decision making in systems engineering. Linear, integer, and nonlinear optimization models. Stochastic models: inventory control, queuing systems, and regression analysis. Elements of Monte Carlo and discrete event system simulation. Prerequisite: ApSc 3115 or EMSE 6020. (Fall)

Reliability Analysis and Infrastructure Systems (3)

Sarkani and Staff

Modeling basic variables and defining the limit-state surface. Computing the reliability index of an infrastructure system by approximating the limit-state surface-FORM and SORM. Modeling an infrastructure system. Reliability analysis using branch and bound, failure paths and failure modes, identification of dominant failure paths. Case studies. (Fall)

Mazzuchi and Staff

Limited to students in the Applied Scientist or Engineer degree program. (Spring)

Mazzuchi and Staff

Selected topics in engineering management and systems engineering, as arranged. May be repeated for credit. Prerequisite: permission of instructor. (Fall and spring)

Staff

Basic or applied research in engineering management or systems engineering. Open to master's degree candidates in the department. May be repeated for credit. (Fall, spring, and summer)

Advanced Topics in Operations Research (3)

Mazzuchi and Staff

Advanced topics from the literature of operations research for analysis, presentation, and discussion. Reading assignments from professional journals selected by the instructor and the student. May be repeated for credit. Prerequisite: permission of instructor. (As arranged)

Thesis Research (3-3)

Staff

Research Methods for the Engineering Manager (3)

Ryan and Staff

Advanced course in research, experimental, and statistical methods for engineering management. Prerequisite: EMSE 6020 or permission of instructor. (Fall and spring)

Abeledo and Staff

May be repeated for credit provided the topic differs. Prerequisite: EMSE 6701, 6705 or permission of instructor. (As required)

Advanced Stochastic Models in Operations Research (3)

Mazzuchi and Staff

Applied probability models, including the Poisson process, continuous-time, denumerable-state Markov processes, renewal theory, semi-Markov regenerative processes. Applications to queues, inventories, and other operations research systems. Prerequisite: permission of instructor. (Fall, even years)

Advanced Reading and Research (arr.)

Staff

Limited to Doctor of Philosophy candidates. May be repeated for credit.

Staff

Limited to Doctor of Philosophy candidates. May be repeated for credit.