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  • 3.00 Credits

    Design of a complete space system, including systems analysis, trajectory analysis, entry dynamics, propulsion and power systems, structural design, avionics, thermal and environmental control, human factors, support systems, and weight and cost estimates. Students participate in teams, each responsible for an integrated vehicle design, providing experience in project organization and interaction between disciplines. Includes several aspects of team communication including three formal presentations, informal progress reports, colleague assessments, and written reports. Offered alternate Fall and Spring terms. Prerequisite:    Prereq: Permission of instructor
  • 2.00 Credits

    General introduction to systems engineering using the classical V-model. Topics include stakeholder analysis, requirements definition, system architecture and concept generation, trade-space exploration and concept selection, human factors, design definition and optimization, system integration and interface management, system safety, verification and validation, and commissioning and operations. Discusses the trade-offs between performance, life-cycle cost and system operability. Readings based on systems engineering standards. Individual homework assignments apply concepts from class and contain both aeronautical and astronautical applications. Prepares students for the systems field exam in the Department of Aeronautics and Astronautics. Prerequisite:    Prereq: Permission of instructor
  • 3.00 Credits

    Fundamentals of satellite engineering design, including distributed satellite. Studies orbital environment. Analyzes problems of station keeping, attitude control, communications, power generation, structural design, thermal balance, and subsystem integration. Considers trade-offs among weight, efficiency, cost, and reliability. Discusses choice of design parameters, such as size, weight, power levels, temperature limits, frequency, and bandwidth. Examples taken from current satellite systems. Prerequisite:    Prereq: Permission of instructor
  • 3.00 Credits

    Addresses some of the important issues involved with the planning, development, and implementation of lean enterprises. People, technology, process, and management dimensions of an effective lean manufacturing company are considered in a unified framework. Particular emphasis on the integration of these dimensions across the entire enterprise, including product development, production, and the extended supply chain. Analysis tools as well as future trends and directions are explored. A key component of this subject is a team project. Prerequisite:    Prereq: Permission of instructor
  • 1.00 Credits

    Covers the fundamental principles, practices and tools of lean six sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors. Includes lectures, active learning exercises, a plant tour, talks by industry practitioners, and videos. One third of the course is devoted to a physical simulation of an aircraft manufacturing enterprise to illustrate the power of lean six sigma methods. Students taking the graduate version complete additional assignments. Prerequisite:    Prereq: None
  • 3.00 Credits

    Examines the enterprise as a holistic and highly networked structure wherein strategic decisions must be made by applying system-level architecting principles and practices. Uses case-based exercises and examples. Team projects investigate a real-world enterprise from multiple perspectives and discuss the interrelationships of these views. Topics include theories, frameworks, and methods for generating and evaluating candidate architectures, selecting a preferred future state architecture, and developing transformation strategies. Prerequisite:    Prereq: Permission of instructor
  • 3.00 Credits

    Covers theory and methods to identify, value, and implement flexibility in design, also known as ?real options?. Topics include definition of uncertainties, simulation of performance for scenarios, screening models to identify desirable flexibility, decision and lattice analysis, and multidimensional economic evaluation. Students demonstrate proficiency through an extended application to a systems design of their choice. Provides a complement to research or thesis projects. Meets with ESD.710 first half of term. Prerequisite:    Prereq: 1.145 or permission of instructor
  • 3.00 Credits

    Emphasis on three methodologies pertaining to decision making in the presence of uncertainty: reliability and probabilistic risk assessment (RPRA), decision analysis (DA), and cost-benefit analysis (CBA). Risks of particular interest are those associated with large engineering projects such as the development of new products; the building, maintenance and operation of nuclear reactors and space systems. Presents and interprets some of the frameworks helpful for balancing risks and benefits in the situations that typically involve human safety, potential environmental effects, and large financial and technological uncertainties. Review of elementary probability theory and statistics included. Prerequisite:    Prereq: Calculus II (GIR)
  • 3.00 Credits

    Covers important concepts and techniques in designing and operating safety-critical systems. Topics include the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. Includes a class project involving the high-level system design and analysis of a safety-critical system. Prerequisite:    Prereq: Permission of instructor
  • 4.00 Credits

    Covers principles and methods for technical System Architecture. Presents a synthetic view including the resolution of ambiguity to identify system goals and boundaries; the creative process of mapping form to function; the analysis of complexity and methods of decomposition and re-integration. Industrial speakers and faculty present examples from various industries. Heuristic and formal methods are presented. Prerequisite:    Prereq: ESD.32J or permission of instructor
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