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ENGR 530 - Overview of Systems Engineering Processes

This course is now scheduled under SYSE. https://online.colostate.edu/courses/SYSE/SYSE530.dot

This course helps students develop a conceptual understanding of the systems engineering life-cycle process and familiarity with analysis techniques used in that process. It also introduces concepts of reliability and robustness, and rigorous tools for analysis and design with them in mind. The course utilizes real-world experience and case studies of working with a system through all phases of the system design process.
This class is offered online in a webinar-style format, and can be accessed synchronously or asynchronously. Synchronous means you can log on live and participate in the class as it is occurring on campus, but participation in this format is not mandatory. Asynchronous means you can access the video recording of the class sessions whenever it is convenient for you.

Prerequisite

ECE 303/STAT 303 (Introduction to Communications Principles) or STAT 315 (Statistics for Engineers and Scientists). Credit not allowed for both ENGR 530 and ECE 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 csu_online_registration@mail.colostate.edu to learn more. Discounts are not applicable to Denver sections.

This class is available live via the Internet on Tuesdays from 5:15 to 8:00 p.m. Mountain Time. Log into your Canvas account to access the course; directions will be posted.

Textbooks and Materials

Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.

Required

  • Systems Engineering and Analysis, 5th Ed. (2011)
    Blanchard and Fabrycky
    ISBN: 9780132217354

Instructors

James Cale
James Cale

James.Cale@colostate.edu

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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