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Course Criteria
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4.00 Credits
This course shows how to use linear statistical models for analysis in engineering and science. The course emphasizes the use of regression models for description, prediction, and control in a variety of applications. Building on multiple regression, the course also covers principal component analysis, analysis of variance and covariance, logistic regression, time series methods, and clustering. Course lectures concentrate on the theory and practice of model construction while laboratories provide a series of open-ended problem solving situations that illustrate the applicability of the models.
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3.00 Credits
This course is an introduction to the theory of the industrial organization (from a game-theoretic perspective) and its applications to industries with strong engineering content (electricity, telecommunications, software & hardware etc.) Topics include: congestion pricing in networks, pricing and efficiency in electricity markets, planned obsolescence in software development, “network” effects and the dynamics of technology adoption etc. Prerequisites: ECON 201, APMA 310 or 311
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3.00 Credits
A design project extending throughout the fall semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience.
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3.00 Credits
A design project extending throughout the spring semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience.
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1.00 Credits
This is a colloquium that allows fourth-year students to learn about engineering design, innovation, teamwork, technical communication, and project management in the context of their two-semester systems capstone design project. With respect to their capstone project, students define and scope their project, structure an interim report about the project, and give an oral presentation to the class. In addition, students study methods of effective time management and prepare presentations of their 5-year career plans.
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3.00 Credits
To learn basic aspects of human factors in the design of information support systems. We will cover: (1) basic human performance issues (physiology, memory, learning, problem-solving, human error), (2) the user interface design process (task analysis, product concept, functional requirements, prototype, design, and testing.) Students will gain basic skills in the analysis and design of human-machine systems through in-class exercises and two course projects. The course is also designed to help you practice different communication skills (interviewing, written analysis, and oral presentation).
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4.00 Credits
This course shows how to use linear statistical models for analysis in engineering and science. The course emphasizes the use of regression models for description, prediction, and control in a variety of applications. Building on multiple regression, the course also covers principal component analysis, analysis of variance and covariance, logistic regression, time series methods, and clustering. Course lectures concentrate on the theory and practice of model construction while laboratories provide a series of open-ended problem solving situations that illustrate the applicability of the models. (Y) Prerequisites & Notes Prerequisite: SYS 360, APMA 312, and major in systems engineering. Credits: 4
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3.00 Credits
This course is an introduction to the theory of the industrial organization (from a game-theoretic perspective) and its applications to industries with strong engineering content (electricity, telecommunications, software & hardware etc.)? Topics include: congestion pricing in networks, pricing and efficiency in electricity markets, planned obsolescence in software development, "network" effects and the dynamics of technology adoption etc.Prerequisites & Notes Prerequisites:? ECON 201, APMA 310 or 311 Credits: 3
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3.00 Credits
A design project extending throughout the fall semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. (S) Prerequisites & Notes Prerequisite: SYS 321, 360, and major in systems engineering. Credits: 3
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3.00 Credits
A design project extending throughout the spring semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. (S) Prerequisites & Notes Prerequisite: SYS 453 and major in systems engineering. Credits: 3
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