Automated Reasoning: Symbolic Model Checking
About this Course
The Automated Reasoning: Symbolic Model Checking course presents how the properties of acting systems and programs can be verified automatically. The basic notion is a transition system: any system that can be described by states and steps. We present how in CTL (computation tree logic) properties like reach-ability can be described. Typically, a state space may be very large. One way to deal with this is symbolic model checking: a way in which sets of states are represented symbolically. A fruitful way to do so is by representing sets of states by BDDs (binary decision diagrams). Definitions and basic properties of BDDs are presented in this course, and the algorithms to compute them, as needed for doing CTL model checking.Created by: EIT Digital
Related Online Courses
Are you working with DevOps to help more efficiently and cost-effectively bring value to your customers? Curious about how AIOps could further strengthen this collaboration by helping to refine... more
The Generative AI Leadership & Strategy Specialization on Coursera is an innovative program designed to empower leaders with the skills needed to harness the full potential of large language models... more
This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales... more
Master the art of negotiation with this comprehensive course designed to enhance your ability to communicate effectively, resolve conflicts, and achieve desired outcomes. By the end of this course,... more
Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you\'ll use analytical elements of SQL for... more
Powered by
