Quantitative Model Checking
Completed by Xiangyu Zhang
April 12, 2024
13 hours (approximately)
Xiangyu Zhang's account is verified. Coursera certifies their successful completion of Quantitative Model Checking
What you will learn
Learn the foundations of quantitative model checking for probabilistic and stochastic systems.
Model and analyse systems using Discrete-Time and Continuous-Time Markov Chains.
Apply Computational Tree Logic (CTL) and Probabilistic CTL (PCTL) to formally verify system properties.
Use formal verification techniques to evaluate the reliability, performance, and dependability of embedded, cyber-physical and communication systems
Skills you will gain
- Category: Markov Model
- Category: Software Testing
- Category: Applied Mathematics
- Category: Systems Analysis
- Category: Algorithms
- Category: Verification And Validation
- Category: Process Modeling
- Category: Computational Logic
- Category: Statistical Modeling
- Category: Probability Distribution
- Category: Probability
- Category: Mathematical Modeling
