Foundations of Autonomous Systems
About this course
This specialization provides a comprehensive overview of designing and analyzing autonomous systems. It begins with an examination of fundamental components like sensors, actuators, and communication networks, then delves into formal modeling frameworks such as state-space representations, timed automata, and hybrid automata. Then formal modeling of system requirements, including stability, reachability, and specifications framed by linear temporal logic formulas is discussed. Verification techniques such as Lyapunov theories and model checking are explored, followed by a segment on synthesizing controllers to enforce specified properties, employing techniques like finite abstraction construction and controller refinement. Courses in this specialization can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
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What you'll learn
- understanding fundamental components of autonomous systems
- knowledge of formal modeling frameworks
- ability to analyze system requirements
- proficiency in verification techniques
- skills in synthesizing controllers
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