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.
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
This course can be applied toward:
ECE 303/STAT 303 (Introduction to Communications Principles) or STAT 315 (Statistics for Engineers and Scientists). Credit not allowed for both SYSE 530 and ECE 530.
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 firstname.lastname@example.org to learn more. Discounts are not applicable to Denver sections.
Textbooks and Materials
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
- Systems Engineering and Analysis, 5th Ed. (2011)
Blanchard and Fabrycky
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.
Learn more at: http://www.engr.colostate.edu/se/james-cale/