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SYSE 530 - Overview of Systems Engineering Processes

Helps students develop a conceptual understanding of the systems engineering life-cycle process and familiarity with analysis techniques used in that process. Introduces concepts of reliability and robustness, and rigorous tools for analysis and design with them in mind. Utilizes real-world experience and case studies of working with a system through all phases of the system design process.

Course Objectives:
Explore real-world problems to develop an understanding of systems engineering life cycle processes and analytical techniques. Each student will complete a project based on a system or enterprise of their choice.
Successful students will learn to:
• Develop analytical skills and optimization methods
• Broaden perspectives working with a system through all phases
• Anaylze architecture issues associated with real-time systems, information assurance, networked enterprises, and virtual and physical architecture prototypes
• Learn models and tools for alternatives analysis and decision making
• Explore queuing theory and analysis
• Use detail design for reliability, maintainability, logistics, affordability


ECE 303 (Introduction to Communications Principles) or STAT 303 (Introduction to Communications Principles) or STAT 315 (Intro to Theory and Practice of Statistics); Credit allowed for only one of the following: ECE 530, ENGR 530, or SYSE 530.

Important Information

Military personnel admitted to a College of Engineering online degree program may be eligible for a 15% tuition discount. Tuition discounts can only be given if you provide the appropriate discount code at the time of registration. Call (877) 491-4336 or email to learn more. Discounts are not applicable to Denver sections.


James Cale
James Cale

Dr. James Cale is an Associate Professor in the Systems Engineering Department at Colorado State University, with joint appointments in the Electrical and Computer Engineering and Mechanical Engineering Departments. His research focuses on the modeling, control and design optimization of energy sources and systems. His background and interests are in the areas of energy conversion, power-electronic drive systems, microgrids, finite-inertia power systems, computational and applied electromagnetics, design optimization, hardware-in-the-loop, and machine learning algorithms.
Prior to joining CSU, he led the Integrated Devices & Systems group at the National Renewable Energy Laboratory in Golden, Colorado. Before that he worked in senior design engineering roles at Advanced Energy Industries and Orbital ATK (since acquired by Northrop Grumman). James earned his doctorate in electrical engineering (with honors) from Purdue University, where he was funded by an NSF IGERT fellowship. He earned his BSEE from Missouri University of Science & Technology (summa cum laude). He is a member of Tau Beta Pi and is a Senior Member of IEEE.

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