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Aeronautics and Astronautics (16) - Archived

Mostrando recursos 1 - 20 de 36

  1. 16.63J / ESD.03J System Safety, Fall 2012

    Leveson, Nancy; Thomas, John P.
    This class introduces the concepts of system safety and how to analyze and design safer systems. Topics include the causes of accidents in general, and recent major accidents in particular; hazard analysis, safety-driven design techniques; design of human-automation interaction; integrating safety into the system engineering process; and managing and operating safety-critical systems.

  2. 16.901 Computational Methods in Aerospace Engineering, Spring 2005

    Darmofal, David
    This course serves as an introduction to computational techniques arising in aerospace engineering. Applications are drawn from aerospace structures, aerodynamics, dynamics and control, and aerospace systems. Techniques include: numerical integration of systems of ordinary differential equations; finite-difference, finite-volume, and finite-element discretization of partial differential equations; numerical linear algebra; eigenvalue problems; and optimization with constraints.

  3. 16.863J / ESD.863J System Safety, Spring 2011

    Leveson, Nancy
    The goal of 16.863J is to teach basic principles of system safety, including accident analysis, hazard analysis, design for safety, human factors and safety, controlling safety during operations, and management of safety critical projects and systems. While you will learn what is currently done today, you will also learn new techniques that are proving to be more powerful and effective than the traditional safety engineering approaches.

  4. 16.842 Fundamentals of Systems Engineering, Fall 2009

    de Weck, Olivier
    This course introduces the principles and methods of Systems Engineering. Lectures follow the "V"-model of Systems Engineering, including needs identification, requirements formulation, concept generation and selection, trade studies, preliminary and detailed design, component and subsystem test and integration as well as functional testing and delivery and operations. Additional concepts such as tradeoffs between performance, cost and system operability will be discussed. Systems Engineering standards and selected journal articles serve as a basis for readings, and individual homework assignments will apply the concepts from class. Both aeronautical and astronautical applications are covered. The class serves as preparation for the systems field...

  5. 16.522 Space Propulsion, Spring 2004

    Martinez-Sanchez, Manuel
    Space Propulsion begins with a review of rocket propulsion fundamentals. The course then proceeds into advanced propulsion concepts, ranging from chemical to electrical engines. Propulsion system selection criteria and mission analysis are introduced. The bulk of the semester is devoted to the physics and engineering of various engine classes, including electrothermal, electrostatic and electro-magnetic. Specific topics include arcjets, ion engines, Hall thrusters and colloid thrusters.

  6. 1.203J / 6.281J / 15.073J / 16.76J / ESD.216J Logistical and Transportation Planning Methods, Fall 2004

    Larson, Richard C.; Odoni, Amedeo R.; Barnett, Arnold
    The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

  7. 16.660 / 16.853 / ESD.62J Introduction to Lean Six Sigma Methods, January IAP 2008

    Murman, Earll; McManus, Hugh; Weigel, Annalisa; Haggerty, Allen
    This course introduces the fundamental Lean Six Sigma principles that underlay modern continuous improvement approaches for industry, government and other organizations. Lean emerged from the Japanese automotive industry, particularly Toyota, and is focused on the creation of value through the relentless elimination of waste. Six Sigma is a quality system developed at Motorola which focuses on elimination of variation from all processes. The basic principles have been applied to a wide range of organizations and sectors to improve quality, productivity, customer satisfaction, employee satisfaction, time-to-market and financial performance. This course is offered during the Independent Activities Period (IAP), which is...

  8. 16.06 Principles of Automatic Control, Fall 2003

    Deyst, John; Willcox, Karen
    The course deals with introduction to design of feedback control systems, properties and advantages of feedback systems, time-domain and frequency-domain performance measures, stability and degree of stability. It also covers root locus method, nyquist criterion, frequency-domain design, and state space methods.

  9. 14.461 Advanced Macroeconomics I, Fall 2009

    Lorenzoni, Guido; Guerrieri, Veronica
    This course covers three sets of topics. The first part will cover business cycle models with imperfect information. We will ask questions such as: What shocks drive business cycles? What is the relative role of shocks to fundamentals and shocks affecting expectations about (current and future) economic developments? How do informational frictions affect the shape of the responses to various shocks? The second part will cover models of investment with credit constraints. We will ask questions such as: What is the transmission mechanism from shocks to the financial sector to the real economy? What determines optimal decisions about capitalization at...

  10. 2.96 / 6.930 / 10.806 / 16.653 / 22.002 Management in Engineering, Fall 2004

    Chun, Jung-Hoon; d'Arbeloff, Alexander
    This course serves as an introduction to engineering management. Topics include financial principles, management of innovation, engineering project planning and control, human factors, career planning, patents, and technical strategy. The case study method of instruction in this course emphasizes student participation in class discussion. This class was also offered in Course 13 (Department of Ocean Engineering) as 13.52. In 2005, ocean engineering subjects became part of Course 2 (Department of Mechanical Engineering), and the 13.52 designation was dropped in lieu of 2.96.

  11. 16.358J / 16.863J System Safety, Spring 2005

    Leveson, Nancy
    This course covers important concepts and techniques in designing and operating safety-critical systems. Topics covered 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. It also includes a class project involving the high-level system design and analysis of a safety-critical system.

  12. 7.60 Cell Biology: Structure and Functions of the Nucleus, Spring 2006

    Sharp, Phillip; Young, Richard
    This course covers the fundamentals of nuclear cell biology as well as the methodological and experimental approaches upon which they are based. Topics include Eukaryotic genome structure, function, and expression, processing of RNA, and regulation of the cell cycle. The techniques and logic used to address important problems in nuclear cell biology is emphasized. Lectures cover broad topic areas in nuclear cell biology and class discussions focus on representative papers recently published in the field.

  13. 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2005

    Williams, Brian; Roy, Nicholas
    This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information technology,...

  14. 16.31 Feedback Control Systems, Fall 2007

    How, Jonathan P.
    This course covers the fundamentals of control design and analysis using state-space methods. This includes both the practical and theoretical aspects of the topic. By the end of the course, the student should be able to design controllers using state-space methods and evaluate whether these controllers are robust.

  15. 16.888 / ESD.77 Multidisciplinary System Design Optimization, Spring 2004

    Willcox, Karen; de Weck, Olivier
    This course is mainly focused on the quantitative aspects of design and presents a unifying framework called "Multidisciplinary System Design Optimization" (MSDO). The objective of the course is to present tools and methodologies for performing system optimization in a multidisciplinary design context, focusing on three aspects of the problem: (i) The multidisciplinary character of engineering systems, (ii) design of these complex systems, and (iii) tools for optimization. There is a version of this course (16.60s) offered through the MIT Professional Institute, targeted at professional engineers.

  16. 16.07 Dynamics, Fall 2004

    Peraire, Jaume
    Dynamics starts with fundamentals of Newtonian mechanics. Further topics include kinematics, particle dynamics, motion relative to accelerated reference frames, work and energy, impulse and momentum, systems of particles and rigid body dynamics. Applications to aerospace engineering are discussed, including introductory topics in orbital mechanics, flight dynamics, inertial navigation and attitude dynamics.

  17. 16.36 Communication Systems Engineering, Spring 2003

    Modiano, Eytan H.
    Introduces the fundamentals of digital communications and networking. Topics covered include elements of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise. Study of data networking includes multiple access, reliable packet transmission, routing and protocols of the internet. Concepts discussed in the context of aerospace communication systems: aircraft communications, satellite communications, and deep space communications.

  18. 2.081J / 16.230J Plates and Shells, Spring 2006

    Wierzbicki, Tomasz
    This course explores the following topics: derivation of elastic and plastic stress-strain relations for plate and shell elements; the bending and buckling of rectangular plates; nonlinear geometric effects; post-buckling and ultimate strength of cold formed sections and typical stiffened panels used in naval architecture; the general theory of elastic shells and axisymmetric shells; buckling, crushing and bending strength of cylindrical shells with application to offshore structures; and the application to crashworthiness of vehicles and explosive and impact loading of structures. The class is taught during first half of term.

  19. 16.323 Principles of Optimal Control, Spring 2006

    How, Jonathan P.
    Studies the principles of deterministic optimal control. Variational calculus and Pontryagin's maximum principle. Applications of the theory, including optimal feedback control, time-optimal control, and others. Dynamic programming and numerical search algorithms introduced briefly.

  20. 16.31 Feedback Control Systems, Fall 2001

    How, Jonathan P.
    Introduction to the state-space approach to control system analysis and control synthesis. State-space representation of dynamic systems; controllability and observability; state-space realizations of transfer functions; and canonical forms. Design of controllers using state-space methods, including pole placement and optimal control methods. Introduction to the Kalman filter. Limitations on performance of control systems from classical and state-space perspectives. Introduction to robustness of multivariable control systems, using frequency domain techniques. From the course home page: Course Description The goal of this subject is to teach the fundamentals of control design and analysis using state-space methods. This includes both the practical and theoretical...

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