| Professors R.M. Soland, E.L. Murphree, Jr., H. Eisner, S. Sarkani, G. Frieder, T.A. Mazzuchi (Chair), J.P. Deason, M.A. Stankosky, J.R. van Dorp Associate Professors M.R. Duffey, H. Abeledo, J.A. Barbera, G.L. Shaw, J.J. Ryan Assistant Professors A. Bada, E. Campos-Nanez, F. Fiedrich Professorial Lecturers W.A. Goetz, F. Allario, C.R. Cothern, D.J. Ryan, C.H. Voas, J.E. Collins, M.G. Goode, F.A. Calabrese, J.F. Starns, R.C. West, R.E. McCreight, B.L. Lewis, J.E. Beach, S.S. Gambhir, R.B. Garrity, C.H. Bixler, T.H. Holzer, J.R. McCumber, D.R. Gallay, G.D. Haddow, J.W. Harris, Jr., T.J. Eveleigh, J.S. Wasek, J.H. Chang, R.E. Cosentino, M.P. Hamner, W.M. Hawes, P.R. Montgomery, W.J. Roberts See the School of Engineering and Applied Science for programs leading to the master’s, professional, and doctoral degrees. Certificate programs offered by the Department of Engineering Management and Systems Engineering include homeland security emergency preparedness and response, emergency management and public health, engineering and technology management, knowledge and information management, and systems engineering. |
| 201 | Quantitative Models in Systems Engineering (3) | Abeledo, Campos-Nanez, 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 115 or EMSE 269. (Fall) |
| 202 | Operations Research Methods (3) | Abeledo, Campos-Nanez, 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 115 or EMSE 269, Math 33, or permission of instructor. (Spring) |
| 204 | Management of Engineering Contracts (3) | 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) |
| 207 | The Human Resources Function for Engineering Managers (3) | Cosentino and Staff |
| | Principles, theory, and practical considerations of the human resources function, with applications for engineering management. Issues and case studies examined within the context of the totality of the process of management as well as the dynamics of human resources management. (Fall and spring) |
| 208 | Stochastic Foundations of Operations Research (3) | Soland 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 116 or permission of instructor. (Fall) |
| 209 | Mathematics in Operations Research (3) | Abeledo and Staff |
| | Mathematical foundations of optimization theory: linear algebra, advanced calculus, convexity theory. Geometrical interpretations and use of software. Prerequisite: Math 33. (Spring) |
| 210 | Engineering Law (3) | Stankosky 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. (As required) |
| 211 | Organizational Behavior for the Engineering Manager (3) | Stankosky 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) |
| 212 | The Management of Technical Organizations (3) | Stankosky 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) |
| 216 | Research Methods for the Engineering Manager (3) | Ryan and Staff |
| | Advanced course in research, experimental, and statistical methods for engineering management. Prerequisite: EMSE 269 or permission of instructor. (Fall and spring) |
| 217 | Fundamentals of Artificial Intelligence (3) | 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) |
| 218 | 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 summer) |
| 219 | Object-Oriented Analysis and Design (3) | Bada 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 250. (On demand) |
| 220 | Policy Factors in Environmental and Energy Management (3) | 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) |
| 221 | Environmental Management (3) | 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) |
| 222 | Energy Management (3) | 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) |
| 223 | Air Quality Management (3) | 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) |
| 224 | Analytical Tools in Environmental Management (3) | Deason and Staff |
| | A survey course in environmental management, focusing on tools to assess the environment: cost benefit analysis, land use, comprehensive planning, 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) |
| 225 | Hazardous Waste Management and Cleanup (3) | 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) |
| 226 | Water Quality Management (3) | 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) |
| 227 | Analytical Tools for Energy Management (3) | 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) |
| 230 | Homeland Security: The National Challenge (3) | 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 NRP, and NIMS. (Spring) |
| 231 | Program and Project Management (3) | 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) |
| 232 | Crisis and Emergency Management (3) | Barbera and Staff |
| | Defining crises, emergencies, and disasters. Developing crisis, contingency, 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) |
| 233 | Information Technology in Crisis and Emergency Management (3) | Fiedrich 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) |
| 234 | Management of Risk and Vulnerability for Hazards and Terrorism (3) | 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) |
| 235 | Systems Thinking and Policy Modeling I (3) | Campos-Nanez and 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) |
| 236 | Systems Thinking and Policy Modeling II (3) | Campos-Nanez and 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 235. (Spring, odd years) |
| 237 | Logistics Planning (3) | Mazzuchi and Staff |
| | Quantitative methods in model building for logistics systems, including organization, procurement, transportation, inventory, maintenance, and their interrelationships. Stresses applications. Prerequisite: ApSc 115, Math 32. (Spring, odd years) |
| 238 | International Disaster Management (3) | Fiedrich 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) |
| 239 | Medical and Public Health Emergency Management (3) | Barbera and Staff |
| | Medical and public health management issues encountered in crises, emergencies, and disasters are examined and presented at the technical level of a non-medical emergency manager. The spectrum of medical, public health, psychological and behavioral problems are described, as well as incident management organization and processes that addresses these concerns and integrate medical and public health assets into the response. (Spring) |
| 240 | Management of Terrorism Preparedness and Response (3) | 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) |
| 241 | Introduction to Management of Construction (3) | Murphree and Staff |
| | How the construction industry worldwide works: feasibility studies; organization for construction; financing and cost accounting for construction; design and engineering contracts and procedures; construction contracts; change orders and delays; acceleration; claims, arbitration, mediation, litigation; labor management; project planning. (Fall, even years) |
| 242 | Construction Project Management (3) | Murphree and Staff |
| | Applications of CPM concepts; owner and contractor viewpoints and needs; subcontractor relations and control; use of computer software to follow an example construction job from concept through design and contract award, and construction; attention to change orders, weather-caused and other delays; acceleration; claims; job closeout. (Spring, odd years) |
| 243 | Construction Cost Management (3) | Murphree and Staff |
| | Cost estimating and control for owner and contractor from project concept through construction, operation and maintenance, to disposal. Parametric cost estimating; budget estimates during design; detailed quantity takeoff and pricing from completed designs; bid preparation; financing alternatives; cost control during construction; computers in cost control. (Spring) |
| 245 | Facilities Operation and Maintenance Management (3) | Murphree and Staff |
| | Economic issues in facilities management; planning and organization for maintenance; energy and environmental issues; strategies; day-to-day operation and maintenance; estimating with standard production models; computers in maintenance operations; contracts for maintenance: preparation and administration; facility obsolescence, recycling and disposal. (Spring) |
| 246 | 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) |
| 248 | Geographic Information Systems for Emergency Management (3) | Fiedrich 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 233 or permission of instructor. (Fall) |
| 249 | Geospatial Techniques (3) | Staff |
| | Same as Geog 221. |
| 250 | Information and Software Engineering (3) | Bada and Staff |
| | Introduction to analysis and design of information systems including requirements analysis, project management, and software architectures. Introduction to CASE tools. Prerequisite: EMSE 256 or permission of instructor. (Fall, even years) |
| 251 | Linear Programming (3) | Abeledo and Staff |
| | The simplex method and its variants, considered from theoretical and computational points of view. Duality and sensitivity analysis. Decomposition methods for large-scale problems. Network flow problems. Prerequisite: EMSE 209 or permission of instructor. (Fall) |
| 252 | Nonlinear Programming (3) | Abeledo and Staff |
| | Basic theoretical and computational topics in optimization theory, including convexity and the optimality conditions. Algorithms for solving unconstrained, linearly constrained, and nonlinearly constrained problems. Applications. Prerequisite: EMSE 209 or permission of instructor. (Spring) |
| 253 | Integer and Network Programming (3) | 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 251 or permission of instructor. (Spring, odd years) |
| 254 | Applied Optimization Modeling (3) | 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 201 or permission of instructor. (Fall) |
| 255 | Management of Research and Development (3) | Murphree and Staff |
| | The integration of technological and business issues considered as a vital part of the organizational adaptation process. Assessment of tools to evaluate the impact of research and development decisions on organizational effectiveness. (Fall and spring) |
| 256 | Information Management and Information Systems (3) | Bada and Staff |
| | The use of information in organizations, the management of the information resource; the impact of information and communication technology. (Spring) |
| 257 | Production Design (3) | Duffey and Staff |
| | Consideration of production design and operations in the context of an integrated company strategy. Process and trade-off analyses, capacity management and planning, technology planning. (As required) |
| 260 | Survey of Finance and Engineering Economics (3) | 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) |
| 261 | Economic Analysis in Engineering Planning (3) | 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 260 or permission of instructor. (Fall) |
| 262 | Finance for Engineers (3) | 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 260. (Fall) |
| 267 | Theory of Games (3) | Campos-Nanez and 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 33 or permission of instructor. (Fall) |
| 268 | Decision Analysis (3) | Soland and Staff |
| | Decision making under certainty, uncertainty, and one and several criteria. Decision analysis and decision trees, value of information, subjective probability and Bayesian statistics, utility and value theories, multiple-criteria decision making and optimization, goal programming. Prerequisite: ApSc 116 and EMSE 201; or permission of instructor. (Fall, even years) |
| 269 | Elements of Problem Solving and Decision Making for Managers (3) | 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) |
| 270 | Knowledge Management I (3) | Stankosky and Staff |
| | The foundations of knowledge management, including cultural issues, technology applications, organizational concepts and processes, management aspects, and decision support systems. Case studies. (Fall) |
| 271 | 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 115. (Fall and spring) |
| 273 | Discrete Systems Simulation (3) | 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 115; CSci 49, 50, or 53; or permission of instructor. Same as Stat 173. (Spring) |
| 277 | Queuing Theory (3) | Mazzuchi and Staff |
| | Single-channel exponential queuing systems, Markovian single- and multiple-channel models, including birth—death processes, finite sources, Erlangian models. General arrival and service patterns. Jackson networks. Model building, basic solution techniques, and formal theoretical developments. Prerequisite: EMSE 208 or permission of instructor. (Spring, even years) |
| 279 | Inventory Control (3) | Mazzuchi and Staff |
| | Mathematical techniques applied to decisions about when and how much to produce or purchase. Mathematical models of inventory systems with deterministic and stochastic demands, continuous and periodic review policies, multi-item models with constraints, multi-echelon models. Prerequisite: ApSc 116 or permission of instructor. (Fall, odd years) |
| 280 | 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) |
| 281 | Reliability Theory (3) | Mazzuchi and Staff |
| | Mathematical theory: coherent structures, association of random variables, stochastic characterization of wear, preservation theorems, bounds and inequalities. Statistical theory: probabilistic derivation of failure models; Bayesian methods. Life testing, survival analysis, expert opinion. Prerequisite: EMSE 208 or permission of instructor. (Fall) |
| 282 | 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 115 or permission of instructor. (Spring) |
| 283 | Systems Engineering I (3) | 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) |
| 284 | Systems Engineering II (3) | 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 283. (Spring) |
| 285 | Systems Analysis and Management (3) | 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 269 or equivalent. (Fall) |
| 286 | 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 284. (Spring) |
| 287 | Decision Support Systems and Models (3) | Stankosky 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) |
| 288 | Technology Issue Analysis (3) | 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) |
| 289 | Seminar: Evolution of Technology and Organizations (3) | Murphree and Staff |
| | Exploration of the evolution of, and connections between, technology and human knowledge, particularly with respect to economic development. Assessment of the role of management in the process of societal change. (Spring, odd years) |
| 290 | Human Factors Engineering (3) | 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) |
| 291 | Problems in Operations Research (3) | Soland and Staff |
| | Field experience in operations research on a team basis. Each small group confronts an actual problem and formulates a solution using operations research models. Oral and written reports. Open only to master’s candidates in the department during the last year of their program. (Spring) |
| 292 | Special Topics (3) | 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) |
| 293 | Technical Enterprises (3) | 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) |
| 294 | Marketing of Technology I (3) | Stankosky 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) |
| 295 | Database Design and Database Management Systems (3) | Bada 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) |
| 296 | Software Project Development with CASE (3) | Bada 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 250. (Spring, even years) |
| 297 | Problems in Engineering Management and Systems Engineering (3) | 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) |
| 298 | Research (arr.) | 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) |
| 299—300 | Thesis Research (3—3) | Staff |
| 311 | Marketing of Technology II (3) | Stankosky and Staff |
| | A systematic treatment of global marketing in the context of U.S. industrial competitiveness. Emphasis on understanding the global technical and marketing environment and formulating marketing strategies. Prerequisite: EMSE 294. (Spring, odd years) |
| 312 | Managing the Protection of Information Assets and Systems (3) | 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 218. (Spring) |
| 314 | Auditing, Monitoring, and Intrusion Detection for Information Security Managers (3) | Ryan and Staff |
| | Methods for detecting problems with unauthorized activity in information systems and management challenges associated with those activities. Prerequisite: EMSE 218. (Spring) |
| 319 | Business and Competitive Intelligence (3) | 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. (Spring) |
| 320 | Managing E-Commerce Technologies (3) | Bada 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) |
| 321 | Data Communications and Networks (3) | Murphree 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. (On demand) |
| 322 | A Strategic Approach to Information Systems (3) | Bada and Staff |
| | Policies and guidelines that govern the arrangement of IT tools and data. Issues related to the establishment of a logical, coherent plan for decisions about technology investments and the support of tight coordination through a focus on system compatibility, interconnection, and integration. Prerequisite: EMSE 256 and 295. (On demand) |
| 332 | Disaster Recovery and Organizational Continuity (3) | 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) |
| 333 | Hazard Mitigation in Disaster Management (3) | 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) |
| 334 | Environmental Hazard Management (3) | 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) |
| 344 | Construction Management Seminar (3) | Murphree and Staff |
| | Timely issues, recent research findings; guest speakers from the construction industry; in a seminar setting, students present results from individual research projects; applications of high technology in construction management; special emphasis given to productivity in construction. (Spring, even years) |
| 351 | Advanced Topics in Mathematical Programming (3) | Abeledo and Staff |
| | Fractional and geometric programming, branch-and-bound methods, max—min problems, Lagrangian algorithms, nonconvex optimization techniques. Prerequisite: EMSE 252 or permission of instructor. (Spring, odd years) |
| 353 | Advanced Topics in Combinatorial Optimization (3) | Abeledo and Staff |
| | Polyhedral theory. Integral polytopes. Use of polyhedral structure in the solution of integer programming problems. Strong valid inequalities for classes of integer programs. Lagrangian relaxation and decomposition methods. Prerequisite: EMSE 253 or permission of instructor. (Spring, even years) |
| 370 | Knowledge Management II (3) | Stankosky and 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 270. (Spring) |
| 373 | Design and Analysis of Simulation Experiments (3) | Frieder, van Dorp, and Staff |
| | Special topics from among perturbation and sensitivity analysis, initial transient problems and warm-up periods for nonterminating simulations, variance reduction techniques, response surface methods, developments in simulation software. Prerequisite: EMSE 273 or permission of instructor. (Fall, odd years) |
| 377 | 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: EMSE 277 or permission of instructor. (Fall, even years) |
| 386 | Advanced Topics in Management (3) | Murphree and Staff |
| | Readings and discussion of classical and recent literature concerning the philosophy and practice of management in technical organizations, including the impacts of changing technology, globalization, and insights from the social sciences. (Fall, odd years) |
| 387 | Technological Forecasting and Management (3) | Stankosky 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) |
| 388 | 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, odd years) |
| 390 | Applied Data Mining in Engineering Management (3) | Fiedrich, 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 269, 295. (As needed) |
| 391 | Project for Professional Degree (3) | Soland and Staff |
| | Limited to students in the Applied Scientist or Engineer degree program. (Spring) | |
| 397 | 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) | |
| 398 | Advanced Reading and Research (arr.) | Staff |
| | Limited to Doctor of Philosphy candidates. May be repeated for credit. | |
| 399 | Dissertation Research (arr.) | Staff |
| | Limited to Doctor of Philosphy candidates. May be repeated for credit. | |
