SWE520 Complex Software Engineering Systems-Master program

This course represents an introduction to complex systems and the methods and tools currently under consideration and use towards better understanding of such systems and the development of a complex engineered systems theory. Topics include concepts such as emergence, self-organization, learning and adaptation, and various quantitative and computational intelligence techniques and algorithms that are considered for modeling, analysis and evaluation of such complex systems. The topic of self-adaptive and self-managing systems has been studied in a variety of application areas, including autonomic computing, robotics, control systems, programming languages, software architectures, fault-tolerant computing, and biological computing. In this course, we focus on the software engineering aspects, including the methods, architectures, algorithms, techniques and tools support self-adaptive and self-managing behavior and exciting application areas, including autonomic computing and ULS systems.