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Course Criteria
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4.00 Credits
Credits: 4 Prerequisite: CJUS450 and PSYC336 Intended to provide an in-depth analysis of behavioral evidence. Topics include offender profiling, crime scene reconstruction, applied victimology, distinguishing between modus operandi and signature aspects of a crime, as well as the use of psychological evidence in criminal litigation. Prepares students to understand the cope with the use of forensic psychology in law enforcement and the courtroom.
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4.00 Credits
Credits: 4 Prerequisite: none This course introduces environmental issues that are directly related to global populations. Students will explore the identification and classification of environmental problems, and how they relate to the laws of nature.
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4.00 Credits
Credits: 4 Prerequisite: none This course presents systems approach to the supply chain from raw materials through delivery to the end customers. Emphasis is on achieving efficient customer response (ECR) while minimizing inventory costs and improving cash flow. Supply chain management (SCM) in today's global e-Business environment is covered in detail.
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4.00 Credits
Credits: 4 Prerequisite: none Presents study of aspects of the production process that impact the total logistics system. This course covers the concepts total quality management, production planning and control, concurrent engineering and the strategic approach to total manufacturing management.
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4.00 Credits
Credits: 4 Prerequisite: SCM620 This course presents an in-depth analysis of costs relative to system and product life cycle phases, including concept definition, design, production, modification, support and retirement. Topics include a study of cost in relation to risk, time value of money, cost breakdown structure and total elements of cost analysis. It addresses the use of logistics cost analysis in making strategic and operational decisions, including product and supply chain design.
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4.00 Credits
Credit: 4 Prerequisite: none Introduces the discipline of systems engineering and addresses the design and analysis of complex systems. Includes a survey of the quantitative methods employed in the discipline. Examples are drawn from large multi-disciplinary engineering projects and from the field of software engineering.
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4.00 Credits
Credit: 4 Prerequisite: none Continues the study of systems engineering. Includes developing system requirements, life-cycle management, examining alternative solutions, selecting and defending a selection, design and analysis, requirements traceability, manufacturability, integration, verification, risk management, configuration management and documentation. It includes case studies and quantitative methods where applicable.
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4.00 Credits
Credit: 4 Prerequisite: none This course provides a review of the applied mathematics theory and techniques commonly used in industry by systems engineers. Included are probability and statistics; linear algebra; Laplace transforms; and solution techniques for certain types of differential equations. Matlab software is introduced and used throughout the course.
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4.00 Credits
Credit: 4 Prerequisite: none Examines in depth the quantitative methods used in systems engineering for design, analysis and verification of complex systems. Includes linear and non-linear systems analysis, mathematical models of complex systems, continuous-time and discrete event simulation, a survey of operation research methods, and optimization techniques.
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4.00 Credits
Credit: 4 Prerequisite: none Addresses systems engineering requirements that flow from the Federal Acquisition Regulations (FARs), to include standards that govern all phases of a system life-cycle that a government contractor needs to understand to engineer, manufacture, support and verify a complex system intended for government procurement. Includes liberal use of case studies.
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