Quantitative Model Checking
Completed by EMMANUEL RAYMOND D DRUET
December 19, 2017
13 hours (approximately)
EMMANUEL RAYMOND D DRUET'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: Probability
- Category: Probability Distribution
- Category: Applied Mathematics
- Category: Theoretical Computer Science
- Category: Process Modeling
- Category: Systems Analysis
- Category: Algorithms
- Category: Mathematical Modeling
- Category: Computational Logic
- Category: Verification And Validation
- Category: Markov Model
- Category: Software Testing
