Automated Reasoning: Symbolic Model Checking
The Automated Reasoning: Symbolic Model Checking course presents how the properties of acting systems and programs can be verified automatically. The basic...
By Hans Zantema on Coursera
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.
Topics Covered
Frequently Asked Questions
How much does Automated Reasoning: Symbolic Model Checking cost?
Visit the Automated Reasoning: Symbolic Model Checking course page for current pricing and available discounts.
Who teaches Automated Reasoning: Symbolic Model Checking?
Automated Reasoning: Symbolic Model Checking is taught by Hans Zantema, 28DIGITAL.
What skill level is Automated Reasoning: Symbolic Model Checking for?
This course is designed for all levels learners.
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