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Course Criteria
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3.00 Credits
Provides students with the background necessary to model, store, manipulate, and exchange information throughout an information system to support decision-making. Incorporates both conceptual bases and corresponding technology standards, including Unified Modeling Language (UML), SQL, and XML. Covers the development of conceptual (semantic) models for describing data and their relationships; relational models; effective use of SQL for data definition and manipulation; web-based technologies for disseminating information; and the major components of modern information systems. Emphasizes application of these technologies through the analysis, design, and implementation of web-enabled database systems. (Y) Prerequisites & Notes Prerequisite: CS 101 and major in systems engineering; corequisite: CS 201. Credits: 3
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3.00 Credits
Introduces the integration and acquisition of information for decision-making using information technology. Discusses the impact of rapid software and hardware development on information integration, including the essential methodologies of client server and database systems. Topics include client server technology, the design and analysis of relational database systems, exposure to Microsoft Access, and the fourth-generation language SQL. This course is not intended for systems engineering majors. Students may not receive credit for both SYS 202 and SYS 204. (Y) Prerequisites & Notes Prerequisite: CS 110 or ENGR 162, or instructor permission Credits: 3
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3.00 Credits
An introduction to the management, technology and performance assessment of electronic business systems. The course emphasizes the intimate relationship between business planning and technology planning for e-businesses. Details of specific e-commerce technologies will be covered as well as approaches to e-business planning. Topics include: technologies, architectures, and infrastructures; information security and privacy; supply-chain management and customer relationship management; requirements definition and analysis; development lifecycles; customer behaviors; performance models; service metrics; waiting and response times; traffic characteristics; load forecasts and scenarios; resources and costs estimation; risk analysis; optimization; capacity planning; and e-business financial planning and deployment.
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3.00 Credits
Provides students with the background necessary to model, store, manipulate, and exchange information throughout an information system to support decision-making. Incorporates both conceptual bases and corresponding technology standards, including Unified Modeling Language (UML), SQL, and XML. Covers the development of conceptual (semantic) models for describing data and their relationships; relational models; effective use of SQL for data definition and manipulation; web-based technologies for disseminating information; and the major components of modern information systems. Emphasizes application of these technologies through the analysis, design, and implementation of web-enabled database systems.
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3.00 Credits
An introduction to the management, technology and performance assessment of electronic business systems. The course emphasizes the intimate relationship between business planning and technology planning for e-businesses. Details of specific e-commerce technologies will be covered as well as approaches to e-business planning. Topics include: technologies, architectures, and infrastructures; information security and privacy; supply-chain management and customer relationship management; requirements definition and analysis; development lifecycles; customer behaviors; performance models; service metrics; waiting and response times; traffic characteristics; load forecasts and scenarios; resources and costs estimation; risk analysis; optimization; capacity planning; and e-business financial planning and deployment. (Y) Prerequisites & Notes Prerequisite: CS 110 or ENGR 162, or instructor permission. Credits: 3
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3.00 Credits
This course will introduce the students to the systemic process of model building and to the richness of the plethora of classes of models, spanning linear vs. nonlinear; static vs. dynamic; deterministic vs. probabilistic; discrete vs. continuous; single-objective vs. multi-objective. In particular, the central role of state space and state variables in system modeling will be the focus of model building. All models developed in class will be introduced with example problems and the students’ learning experience in model building will be codified through group homework assignments, exams and a term project.
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3.00 Credits
This course will introduce the students to the systemic process of model building and to the richness of the plethora of classes of models, spanning linear vs. nonlinear; static vs. dynamic; deterministic vs. probabilistic; discrete vs. continuous; single-objective vs. multi-objective. In particular, the central role of state space and state variables in system modeling will be the focus of model building. All models developed in class will be introduced with example problems and the students' learning experience in model building will be codified through group homework assignments, exams and a term project. (Y) Credits: 3
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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.
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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.
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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.
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