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Course Criteria
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1.00 Credits
Students learn about the practice of systems engineering directly from practicing systems engineers. A variety of topics are covered by invited speakers from industry, government, and the academy (many of whom are alumni of our undergraduate program). Discussions include engineering design projects, alternative career paths, graduate studies, professional development and advancement strategies, and more immediate options and opportunities for summer internships and capstone projects.
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3.00 Credits
Introduction to mathematical modeling of forecasts and decisions under uncertainty using principles of statistical decision theory; judgmental and Bayesian techniques for probabilistic forecasting; forecast verification methods; static and sequential decision models for quality control, inventory control, queue management, hazard warnings; and economic, investment, and weather-sensitive decisions.
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4.00 Credits
A first course in the theory and practice of discrete-event simulation. Monte Carlo methods, generating random numbers and variates, spreadsheet add-ins and applications, sampling distributions and confidence intervals, input analysis and distribution fitting. Discrete-event dynamic systems, modeling, simulation logic and data structures, output analysis, model verification and validation, comparing alternative systems, simulation optimization, case studies. Applications span communication, computer, distribution, health-care, manufacturing, service, and transportation systems. Modern simulation software tools, including animation.
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3.00 Credits
Introduction to deterministic optimization models: theory, algorithms, and applications. Coverage begins with highly structured network optimization models (e.g. shortest path models) and ends with unstructured linear optimization models (e.g. linear programing and integer programming).?Applications include (1) telecommunications network planning and design, (2) design and utilization of transportation and distribution networks, and (3) project management and scheduling. (Y) Prerequisites & Notes Prerequisite: SYS 201; corequisite: APMA 308. Credits: 3
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3.00 Credits
This course introduces the fundamentals for the analysis, design and evaluation of human-centered systems. The goal is to promote productive interaction between people and the systems they use. For example, decision support systems can be designed to leverage the strengths of both humans and machines for control of semi-automated processes. Course topics include analysis of human-systems interaction, interface design, usability testing, experimental design, and human-centered lifecycle design. Topics also include a focus on human cognitive and sensory abilities as they impact total system design. The course is practitioner oriented and includes a semester-long group project. (Y) Prerequisites & Notes Prerequisite: SYS 201 and major in systems engineering. Credits: 3
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3.00 Credits
Focuses on the evaluation of candidate system designs and design performance measures. Includes identification of system goals; requirements and performance measures; design of experiments for performance evaluation; techniques of decision analysis for trade-studies (ranking of alternatives); presentation of system evaluation and analysis results. Illustrates the concepts and processes of systems evaluations using case studies. (Y) Prerequisites & Notes Prerequisite: APMA 312, SYS 201, 321, and major in systems engineering. Credits: 3
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1.00 Credits
Students learn about the practice of systems engineering directly from practicing systems engineers. A variety of topics are covered by invited speakers from industry, government, and the academy (many of whom are alumni of our undergraduate program). Discussions include engineering design projects, alternative career paths, graduate studies, professional development and advancement strategies, and more immediate options and opportunities for summer internships and capstone projects. (Y) Prerequisites & Notes Prerequisite: Third-year standing in systems engineering. Credits: 1
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3.00 Credits
Introduction to mathematical modeling of forecasts and decisions under uncertainty using principles of statistical decision theory; judgmental and Bayesian techniques for probabilistic forecasting; forecast verification methods; static and sequential decision models for quality control, inventory control, queue management, hazard warnings; and economic, investment, and weather-sensitive decisions. (Y) Prerequisites & Notes Prerequisite: APMA 310 and 312, or instructor permission. Credits: 3
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4.00 Credits
A first course in the theory and practice of discrete-event simulation. Monte Carlo methods, generating random numbers and variates, spreadsheet add-ins and applications, sampling distributions and confidence intervals, input analysis and distribution fitting. Discrete-event dynamic systems, modeling, simulation logic and data structures, output analysis, model verification and validation, comparing alternative systems, simulation optimization, case studies. Applications span communication, computer, distribution, health-care, manufacturing, service, and transportation systems. Modern simulation software tools, including animation. (Y) Prerequisites & Notes Prerequisite: CS 201, APMA 310, 312, and major in systems engineering. Credits: 4
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3.00 Credits
Students will investigate various financial aspects of engineering. Topics will include basic economic analysis (e.g., opportunity cost, time value of money), calculation of present value, interest rates, basic principles of accounting, methods of depreciation, risk analysis, insurance, taxation, decision analysis, and legal issues.
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