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Course Criteria
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3.00 Credits
Statistical modeling and control in manufacturing processes. Use of experimental design and response surface modeling to understand manufacturing process physics. Defect and parametric yield modeling and optimization. Forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.
Prerequisite:
Prereq: 2.008, 6.041, 6.152, or 15.064
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3.00 Credits
Project-centered subject addressing transformation of ideas into successful products which are properly matched to the user and the market. Students are asked to take a more complete view of a new product and to gain experience with designs judged on their aesthetics, ease of use, and sensitivities to the realities of the marketplace. Lectures on modern design process, industrial design, visual communication, form-giving, mass production, marketing, and environmentally conscious design.
Prerequisite:
Prereq: 2.009
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3.00 Credits
Fundamentals of human performance, physiology, and life support impacting engineering design and aerospace systems. Topics include effects of gravity on the muscle, skeletal, cardiovascular, and neurovestibular systems; human/pilot modeling and human/machine design; flight experiment design; and life support engineering for extravehicular activity (EVA). Case studies of current research are presented. Assignments include a design project, quantitative homework sets, and quizzes emphasizing engineering and systems aspects.
Prerequisite:
Prereq: 16.400, 16.06, 16.060, or permission of instructor
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3.00 Credits
Description and critical assessment of the major issues and stages of developing a pharmaceutical or biopharmaceutical. Drug discovery, preclinical development, clinical investigation, manufacturing and regulatory issues considered for small and large molecules. Economic and financial considerations of the drug development process. Multidisciplinary perspective from faculty in clinical; life; and management sciences; as well as industry guests.
Prerequisite:
Prereq: Permission of instructor
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2.00 Credits
Seminar examines how "systems" approaches can be used to address inefficiencies and introduction of innovation into the delivery of health care. Topics include identification of problems in delivery of chronic, acute, and emergency care and possible organizational and technological solutions. Cases, readings, and discussions draw upon experiences in the United States and globally.
Prerequisite:
Prereq: Permission of instructor
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1.00 Credits
Presentation of the spreadsheet mechanics for the efficient calculation of discounted cash flows and related metrics of project worth; the use of data tables as means of exploring sensitivity analysis; and of simulation to develop the value of options. Intensive module designed for students who are not familiar with the efficient use of Excel. Presented intensively over first week of term.
Prerequisite:
Prereq: None
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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
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3.00 Credits
Focuses on design choices and decisions under uncertainty. Topics include identification and description of uncertainties using probability distributions; the calculation of commensurate measures of value, such as expected net present values; Monte Carlo simulation and risk analysis; and the use of decision analysis to explore alternative strategies and identify optimal initial choices. Applied analysis of practical examples from a variety of engineering systems using spreadsheet and decision analysis software.
Prerequisite:
Prereq: 1.145 or permission of instructor
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2.00 Credits
Introduction to analytical tools to support design and decision-making in real estate and infrastructure development. Particular focus on identifying and valuing sources of flexibility using ?real options?, Monte-Carlo simulation, and other techniques from the field of engineering systems. Integrates economic and engineering perspectives, and is suitable for students with various backgrounds. Provides useful preparation for thesis work in the area.
Prerequisite:
Prereq: None
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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)
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