Supply Chain/Logistics Cost Analysis
 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
 Credits: 4
 Prerequisite: SCM620
 Availability: Colorado Springs, Virtual Campus
 Fundamentals of Systems Engineering
 This course provides an overview of relevant systems skills and topics required for the MSSE program. Topics
 include modeling and control of systems with noise or uncertainty, and the use of modeling and simulations
 software (MATLAB), especially with numerical methods, optimization, and linear programming.
 Credits: 4
 Prerequisite: MATH500
 Availability: Check with individual campus for availability of this course
 Systems Engineering I
 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.
 Credits: 4
 Prerequisite: Approval
 Availability: Colorado Springs, Denver, Denver North, Virtual Campus
 Systems Engineering II
 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.
 Credits: 4
 Prerequisite: Approval
 Availability: Colorado Springs, Denver, Denver North, Virtual Campus
 Quantitative Analysis for Systems
 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 and Fourier transforms; and
 solution techniques for certain types of differential equations. Matlab software is introduced and used
 throughout the course
 Credits: 4
 Prerequisite: None
 Availability: Virtual Campus
 System Dynamics, Modeling, and Simulation
 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

Effective August 14, 2011                                                                                           Page 478

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