Automated Reasoning: Symbolic Model Checking
Master symbolic model checking: Learn CTL, BDDs, and algorithms for verifying properties of complex systems efficiently.
Course Cost
₹ 2,699
Intermediate
Skill Level
12 Hours
Self-paced lessons
This course introduces symbolic model checking, a powerful technique for automatically verifying properties of complex systems and programs. It covers Computation Tree Logic (CTL) for describing system properties, Binary Decision Diagrams (BDDs) for efficient representation of boolean functions and state sets, and algorithms for CTL model checking using BDDs. The curriculum progresses from basic concepts to advanced applications, including examples of verifying properties in large state spaces. Students will learn to apply these techniques to real-world problems in system verification.
What you'll learn
Understand the principles of model checking and its applications in system verification
Master Computation Tree Logic (CTL) for describing properties of transition systems
Learn the structure and algorithms for Binary Decision Diagrams (BDDs)
Apply BDDs to represent boolean functions and sets of states efficiently
Understand the symbolic model checking algorithm using CTL and BDDs
Gain practical experience in verifying properties of complex systems
Analyze and solve problems related to state space exploration and verification
Develop skills in applying automated reasoning techniques to real-world scenarios
Skills you'll gain
This course includes:
2 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There are 4 modules in this course
This course provides a comprehensive introduction to symbolic model checking, a powerful technique for automatically verifying properties of complex systems and programs. The curriculum is divided into four modules, covering Computation Tree Logic (CTL), Binary Decision Diagrams (BDDs), and their application in symbolic model checking. Students will learn how to represent and verify properties of transition systems using CTL, understand the structure and algorithms for BDDs, and apply these concepts to symbolic model checking. The course progresses from theoretical foundations to practical applications, including examples of verifying properties in large state spaces. Through a combination of video lectures, quizzes, and practical problems, students will gain both theoretical understanding and hands-on experience in applying these techniques to real-world verification problems.
CTL model checking
Module 1 · 1 Hours to complete
BDDs part 1
Module 2 · 1 Hours to complete
BDDs part 2
Module 3 · 1 Hours to complete
BDD based symbolic model checking
Module 4 · 9 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
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Frequently asked Questions
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