System Validation (4): Modelling Software, Protocols, and other behaviour
Description
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About this course: System Validation is the field that studies the fundamentals of system communication and information processing. 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 enforces 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. ’Modeling Software Protocols, and…
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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan .
- Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
- Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.
About this course: System Validation is the field that studies the fundamentals of system communication and information processing. 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 enforces 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. ’Modeling Software Protocols, and other behaviour' demonstrates the power of formal methods in software modelling, communication protocols, and other examples. Reading material. J.F. Groote and M.R. Mousavi. Modeling and analysis of communicating systems. The MIT Press, 2014.
Who is this class for: This course is meant for first year Master students in Electrical Engineering or Computer Science. Note that as a consequence, quiz questions are more like exam questions where you have to construct the answer based on the principles that are taught in the web lectures, rather than to recall the literal text of the teacher.
Created by: EIT Digital-
Taught by: Jan Friso Groote, Full professor
Mathematics and Computer Science, Eindhoven University of Technology
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EIT Digital EIT Digital is a pan-European education and research-based open innovation organization founded on excellence. Its mission is to foster digital technology innovation and entrepreneurial talent for economic growth and quality of life. By linking education, research and business, EIT Digital empowers digital top talents for the future. EIT Digital provides online "blended" Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by 20 reputable universities of technology around Europe. The universities all together deliver a unique blend of the best of technical excellence and entrepreneurial skills and mindset to digital engineers and entrepreneurs at all stages of their careers. The academic partners support Coursera’s bold vision to enable anyone, anywhere, to transform their lives by accessing the world’s best learning experience. This means that EIT Digital gradually shares parts of its entrepreneurial and academic education programmes to demonstrate its excellence and make it accessible to a much wider audience. EIT Digital’s online education portfolio can be used as part of blended education settings, in both Master and Doctorate programmes, and for professionals as a way to update their knowledge. EIT Digital offers an online programme in 'Internet of Things through Embedded Systems'. Achieving all certificates of the online courses and the specialization provides an opportunity to enroll in the on campus program and get a double degree. These are the courses in the online programme:Syllabus
WEEK 1
Advanced modelling
We show how the behavior of simple programs and communication protocols can be modelled and analysed. Furthermore, we introduce the notion of a linear process: a simple normal form to which every behavior can be reduced. This normal form is the workhorse when it comes to the analysis of behavior.
8 videos expand
- Video: Introduction to MOOC modelling software, protocols and other behaviour
- Video: Modelling a parallel algorithm to calculate the GCD
- Video: Linear process equations and linearisation
- Video: Manipulating linear processes
- Video: Parameterised boolean equation systems
- Video: The alternating bit protocol revisited
- Video: The sliding window protocol, or Tanenbaum’s bug
- Video: Philips remote control standard 6, or the bounded retransmission protocol
Graded: Advanced modelling
WEEK 2
Modelling guidelines
In this lecture you see various modelling techniques that can be used to keep the state space of your models small.
5 videos expand
- Video: Guidelines to avoid the state space explosion problem
- Video: Push versus poll
- Video: Restrict the use of data
- Video: Avoid parallelism among components
- Video: Compositional design ; specify external behaviour
Graded: Modelling guidelines
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