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Jan Friso Groote
System Validation is the field that studies the fundamentals of system communication and information processing. It is the next logical step in computer science and improving software development in general. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the systems does exactly what it is supposed to do. The techniques put forward in system validation allow to prove the absence of errors. It allows to design embedded system behaviour that is structurally sound and as a side effect forces you to make the behaviour simple and insightful. This means that the systems are not only behaving correctly, but are also much easier to maintain and adapt. ’Model process behaviour' is the follow up MOOC to 'Automata and behavioural equivalences'. This MOOC shows you how to model process behaviour, in particular protocols and distributed algorithms, dive deeper in the properties of system behaviour, and keep things simple to avoid a state space explosion. Reading material. J.F. Groote and M.R. Mousavi. Modeling and analysis of communicating systems. The MIT Press, 2014.
Read more
System Validation is the field that studies the fundamentals of system communication and information processing. It is the next logical step in computer science and improving software development in general. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the systems does exactly what it is supposed to do. The techniques put forward in system validation allow to prove the absence of errors. It allows to design embedded system behaviour that is structurally sound and as a side effect forces you to make the behaviour simple and insightful. This means that the systems are not only behaving correctly, but are also much easier to maintain and adapt. ’Model process behaviour' is the follow up MOOC to 'Automata and behavioural equivalences'. This MOOC shows you how to model process behaviour, in particular protocols and distributed algorithms, dive deeper in the properties of system behaviour, and keep things simple to avoid a state space explosion. Reading material. J.F. Groote and M.R. Mousavi. Modeling and analysis of communicating systems. The MIT Press, 2014.
Read more
System Validation is the field that studies the fundamentals of system communication and information processing. It is the next logical step in computer science and improving software development in general. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the systems does exactly what it is supposed to do. The techniques put forward in system validation allow to prove the absence of errors. It allows to design embedded system behaviour that is structurally sound and as a side effect forces you to make the behaviour simple and insightful. This means that the systems are not only behaving correctly, but are also much easier to maintain and adapt. ’Model process behaviour' is the follow up MOOC to 'Automata and behavioural equivalences'. This MOOC shows you how to model process behaviour, in particular protocols and distributed algorithms, dive deeper in the properties of system behaviour, and keep things simple to avoid a state space explosion. Reading material. J.F. Groote and M.R. Mousavi. Modeling and analysis of communicating systems. The MIT Press, 2014.
This course is part 2 of the set of courses for System Validation. System Validation, as a set of courses, is part of a larger EIT Digital online programme called 'Internet of Things through Embedded Systems'.
Register for this course and see more details by visiting:
OpenCourser.com/course/y36gfa/system
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What's inside
Syllabus
Sequential behaviour
Data types
Parallel behaviour
Read more
Syllabus
Sequential behaviour
Data types
Parallel behaviour
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for learners with knowledge of automata and behavioural equivalences
Teaches modelling and analysis techniques for communicating systems
Develops skills in system validation, which is essential for building reliable and efficient systems
Covers essential concepts like sequential and parallel behaviour, data types
Provides a strong foundation in system validation for learners interested in embedded systems
May require additional knowledge in automata and behavioural equivalences for a smooth learning experience
Save this course
Save System Validation (2): Model process behaviour to your list so you can find it easily later:
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Reviews summary
Model checking course
Learners say this model checking course is interesting, but it could improve with more examples and explanations.
Some concepts could be explained in more detail.
"Interesting course about model checking, but maybe it would be helpful to have...more detailed explanations about some concepts."
Not enough examples provided.
"Interesting course about model checking, but maybe it would be helpful to have more examples..."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in System Validation (2): Model process behaviour with these
activities:
Read 'Modeling and Analysis of Communicating Systems'
Show steps
Review the textbook 'Modeling and Analysis of Communicating Systems' to gain a deeper understanding of the theoretical foundations of system validation.
View
Modeling and Analysis of Communicating Systems
on Amazon
Show steps
-
Read selected chapters relevant to the course topics
-
Work through the exercises and examples provided in the book
-
Summarize and reflect on the key concepts and techniques covered in the book
Practice Automata Theory Concepts
Show steps
Review and practice basic concepts of automata theory, such as finite state machines and regular expressions, to enhance your understanding of system validation.
Browse courses on
Automata Theory
Show steps
-
Solve practice problems on automata and regular expressions
-
Use an online tool or software to simulate and analyze automata
-
Design and implement a simple finite state machine
Review Discrete Mathematics
Show steps
Review the basics of discrete mathematics, including set theory, logic, and counting, to strengthen your understanding of the fundamentals of computer science.
Browse courses on
Discrete Mathematics
Show steps
-
Read introductory chapters of a discrete mathematics textbook
-
Solve practice problems on topics like sets, relations, and functions
-
Take an online course or watch video tutorials on discrete mathematics
Three other activities
Expand to see all activities and additional details
Show all six activities
Discuss System Validation Techniques
Show steps
Participate in a discussion group with other students to share insights and perspectives on different system validation techniques.
Browse courses on
System Validation
Show steps
-
Join an online forum or discussion group dedicated to system validation
-
Engage in discussions, ask questions, and share your own experiences
-
Collaborate on projects or case studies related to system validation
Design a Simple System Model
Show steps
Create a simple model of a system, such as a vending machine or a traffic light, to practice applying the concepts of system validation.
Browse courses on
System Modeling
Show steps
-
Identify the components and behavior of the system
-
Use a modeling language (e.g., automata or Petri nets) to represent the system
-
Analyze the model to identify potential errors or inefficiencies
Develop a System Validation Framework
Show steps
Create a framework for applying system validation techniques to a specific system or domain, demonstrating your ability to apply the concepts in a practical setting.
Browse courses on
Formal Verification
Show steps
-
Identify a suitable system or domain for validation
-
Design and implement a validation framework using appropriate tools and techniques
-
Apply the framework to the chosen system and evaluate its effectiveness
Read 'Modeling and Analysis of Communicating Systems'
Show steps
Review the textbook 'Modeling and Analysis of Communicating Systems' to gain a deeper understanding of the theoretical foundations of system validation.
View
Modeling and Analysis of Communicating Systems
on Amazon
Show steps
Show steps
Show steps
- Read selected chapters relevant to the course topics
- Work through the exercises and examples provided in the book
- Summarize and reflect on the key concepts and techniques covered in the book
Practice Automata Theory Concepts
Show steps
Review and practice basic concepts of automata theory, such as finite state machines and regular expressions, to enhance your understanding of system validation.
Browse courses on
Automata Theory
Show steps
Show steps
Show steps
- Solve practice problems on automata and regular expressions
- Use an online tool or software to simulate and analyze automata
- Design and implement a simple finite state machine
Review Discrete Mathematics
Show steps
Review the basics of discrete mathematics, including set theory, logic, and counting, to strengthen your understanding of the fundamentals of computer science.
Browse courses on
Discrete Mathematics
Show steps
Show steps
Show steps
- Read introductory chapters of a discrete mathematics textbook
- Solve practice problems on topics like sets, relations, and functions
- Take an online course or watch video tutorials on discrete mathematics
Three other activities
Expand to see all activities and additional details
Show all six activities
Discuss System Validation Techniques
Show steps
Participate in a discussion group with other students to share insights and perspectives on different system validation techniques.
Browse courses on
System Validation
Show steps
Show steps
Show steps
- Join an online forum or discussion group dedicated to system validation
- Engage in discussions, ask questions, and share your own experiences
- Collaborate on projects or case studies related to system validation
Design a Simple System Model
Show steps
Create a simple model of a system, such as a vending machine or a traffic light, to practice applying the concepts of system validation.
Browse courses on
System Modeling
Show steps
Show steps
Show steps
- Identify the components and behavior of the system
- Use a modeling language (e.g., automata or Petri nets) to represent the system
- Analyze the model to identify potential errors or inefficiencies
Develop a System Validation Framework
Show steps
Create a framework for applying system validation techniques to a specific system or domain, demonstrating your ability to apply the concepts in a practical setting.
Browse courses on
Formal Verification
Show steps
Show steps
Show steps
- Identify a suitable system or domain for validation
- Design and implement a validation framework using appropriate tools and techniques
- Apply the framework to the chosen system and evaluate its effectiveness
Career center
Learners who complete System Validation (2): Model process behaviour will develop knowledge and skills
that may be useful to these careers:
Software Tester
Software Tester
Software Testers test software to find bugs and ensure that it works as expected. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Software Testers to understand.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain software systems. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Software Engineers to understand.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computing technologies. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Computer Scientists to understand.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design computer systems. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Systems Analysts to understand.
Computer Programmer
Computer Programmer
Computer Programmers write and test code that makes computers work. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Computer Programmers to understand.
Data Analyst
Data Analyst
Data Analysts analyze data to identify trends and patterns. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Data Analysts to understand.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Database Administrators to understand.
Systems Engineer
Systems Engineer
Systems Engineers design and develop complex systems. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Systems Engineers to understand.
Network Engineer
Network Engineer
Network Engineers design and maintain computer networks. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Network Engineers to understand.
Project Manager
Project Manager
Project Managers plan and execute projects. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Project Managers to understand.
Security Analyst
Security Analyst
Security Analysts protect computer systems from security threats. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Security Analysts to understand.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make predictions. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Data Scientists to understand.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Machine Learning Engineers to understand.
Business Analyst
Business Analyst
Business Analysts analyze business processes and develop solutions to improve them. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Business Analysts to understand.
Software Architect
Software Architect
Software Architects design and develop software systems. This course may be useful by providing a foundation in system validation, which is the process of ensuring that a system meets its requirements. This course covers topics such as sequential behavior, data types, and parallel behavior, which are all important concepts for Software Architects to understand.
For more career information including salaries, visit:
OpenCourser.com/course/y36gfa/system
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
System Validation (2): Model process behaviour.
Delves deeper into the topics covered in the course, including modelling and analysis techniques for communicating systems. It provides a more comprehensive understanding of the subject matter and serves as an excellent reference for further exploration of the field.
This course requires a solid understanding of the principles of system validation the mathematics behind automata, and the concept of behavioural equivalences. 'Automata and Behavioural Equivalences' provides this foundation, making it a valuable preparatory book. Although the book is not part of the required course reading, it would be highly beneficial to read it first as it provides the essential background knowledge for the course's material.
This classic textbook provides a comprehensive introduction to automata theory, languages, and computation. It covers topics such as finite automata, regular expressions, context-free grammars, and Turing machines, providing a solid foundation for understanding the theoretical underpinnings of system validation.
Save
Embedded systems are a particular focus of system validation. provides a comprehensive overview of embedded systems design, including hardware and software architectures, programming languages, and real-time operating systems.
Explores type systems for embedded languages, which are used to ensure the safety and reliability of embedded systems. It provides valuable insights into the theoretical and practical aspects of system validation in embedded software development.
Provides a comprehensive introduction to logic in computer science, including propositional and predicate logic, modal logic, and temporal logic. It serves as a solid foundation for understanding the mathematical principles behind system validation.
Provides a unified approach to embedded system design, integrating hardware and software aspects. It covers topics such as embedded processor architectures, memory systems, and real-time operating systems, providing a practical perspective on system validation.
Provides a comprehensive overview of systems engineering, covering the concepts, principles, and practices involved in the design and development of complex systems. It offers a valuable perspective on the broader context of system validation.
While not directly related to system validation, this book provides a strong foundation in data structures and algorithms, which are essential concepts for understanding system behaviour. It is recommended as preparatory reading for those with a limited background in these areas.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/y36gfa/system
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Instructor
Jan Friso Groote
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Good to know
Suitable for learners with knowledge of automata and behavioural equivalences
Teaches modelling and analysis techniques for communicating systems
Develops skills in system validation, which is essential for building reliable and efficient systems
Covers essential concepts like sequential and parallel behaviour, data types
Provides a strong foundation in system validation for learners interested in embedded systems
May require additional knowledge in automata and behavioural equivalences for a smooth learning experience
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