Quantitative Model Checking
Completed by 璟 胡
April 27, 2018
13 hours (approximately)
璟 胡'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: Process Modeling
- Category: Theoretical Computer Science
- Category: Systems Analysis
- Category: Algorithms
- Category: Software Testing
- Category: Verification And Validation
- Category: Markov Model
- Category: Probability Distribution
- Category: Applied Mathematics
- Category: Mathematical Modeling
- Category: Probability
- Category: Computational Logic
