Informações sobre o curso
4.4
37 classificações
3 avaliações
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 19 horas para completar

Sugerido: 5 weeks of study, 1-2 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 19 horas para completar

Sugerido: 5 weeks of study, 1-2 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
15 minutos para concluir

Introduction

This course is part of a Blended Master Programme in Embedded Systems. ...
Reading
1 vídeo (total de (Total 5 mín.) min), 1 leitura
Video1 vídeos
Reading1 leituras
Some suggested reading material10min
Horas para completar
4 horas para concluir

Modeling systems as token consumption/production systems

In this module/week you will learn to draw a model of a token consumption/production system, and communicate your interpretation of this model with others in an informal manner. At the end of this model, you will be able to draw your own models, and explain your interpretation of them in general terms. Also, you will know about the standard Petri-net interpretation of consumption/production systems, and will be able to point out particular patterns in Petri-net models. Finally, you will be able to refine a consumption/production model into a model that contains sufficient information to allow worst-case performance analysis. This is all tested using a peer-reviewed assignment. ...
Reading
11 vídeos (total de (Total 70 mín.) min), 3 leituras, 6 testes
Video11 videos
Consumption and production of tokens5min
Modeling an intensive care unit5min
Modeling a wireless LAN radio4min
Modeling and refining an industrial robot6min
Pick your own system1min
Classes of Petri-nets8min
Causality, choice and concurrency (modeling patterns)9min
Refinement of consumption/production systems8min
Interpreting pictures for performance analysis10min
Draw your own model3min
Reading3 leituras
Always ask yourself...10min
The refinement of the robot.10min
Tooling10min
Quiz5 exercícios práticos
Basic modeling ideas16min
Modeling Warehouse 136min
Modeling features10min
Definition of refinement2min
Which is a refinement of which?4min
Semana
2
Horas para completar
3 horas para concluir

Syntax and semantics

In this module/week, you will be really training your abstract thinking skills. After finishing this module, you will have learned how to formalize the behavior of any dynamical system as a prefix order, and how to formalize the interpretation of a consumption/production system as a counting function on such a prefix order. You understand how the Petri-net interpretation puts certain restrictions on these counting functions, and how you can exploit those restrictions to prove properties about Petri-net interpretations, without knowing the actual interpretation itself. At the end of the module, you will practice the formalization of performance metrics as logical properties of counting functions, by recognizing right and wrong examples of formalization. Those who are already familiar with Petri-net theory, may find that the prefix order semantics that I introduce in this course is slightly different from what they are used to. Traditional Petri-net semantics is usually based on markings, transition systems, or the execution trees thereoff. Execution trees are a particular example of a prefix order, but in general prefix orders offer the added flexibility that they do not restrict the user to discrete interpretations of behavior only. This is particularly suitable when seeking connection between theoretical computer science and an application field like embedded systems, from which this course originates, where also the continuous behavior of physical systems has to be taken into account....
Reading
14 vídeos (total de (Total 103 mín.) min), 5 leituras, 5 testes
Video14 videos
Syntax and semantics3min
The basics9min
Extensions4min
Prefix orders7min
Exercise on prefix orders7min
Proof that flows form a prefix order14min
Formalizing interpretations as functions8min
Counting is order preserving6min
Formalizing the Petri-net interpretation10min
Proof that the number of tokens in a single-rate dataflow cycle is constant13min
Formalizing timing6min
Formalizing eager scheduling5min
Formalizing periodic scheduling4min
Reading5 leituras
Flags and Fitch style proofs10min
Slides of the proof10min
Slides of the proof10min
Exercise: Formalize best-case response times10min
About the next quiz.10min
Quiz5 exercícios práticos
Bipartite graphs2min
Thinking about observation functions4min
Isomorphism2min
Summarize!2min
Formalizing performance properties16min
Semana
3
Horas para completar
3 horas para concluir

Performance analysis

In this module/week you will learn to exploit the structure of single-rate dataflow graphs to perform worst-case analysis of performance metrics like throughput, latency and buffering. After this week, you know how to calculate the maximum cycle mean of a dataflow graph, how to construct a periodic schedule for it, how to optimize this schedule for latency analysis, and how to determine the size of buffers with back-pressure such that the worst-case analysis remains valid. If you understood the material of the previous module/week, the proofs presented in this week will give you a deeper understanding of the mathematical underpinning of these methods....
Reading
20 vídeos (total de (Total 131 mín.) min), 2 leituras, 5 testes
Video20 videos
Throughput is bounded by 1/MCM8min
Proof - a1min
Proof - b9min
Proof - c1min
Proof - d3min
Proof - e7min
Proof - f4min
Proof - g4min
Proof - h8min
Proof - i12min
Proof - j8min
The throughput bound is tight5min
Periodic scheduling of a dataflow graph12min
Latency analysis of a periodic schedule6min
Latency analysis of an eager schedule9min
The formal definition of latency5min
The boot-up time of a dataflow graph4min
Optimizing latency estimates w.r.t. boot-up time5min
Buffering and backpressure5min
Reading2 leituras
Slides of the proof10min
Alternative proof in synchronization and linearity10min
Quiz5 exercícios práticos
Summarize!2min
Calculating the MCM and worst-case throughput10min
Calculate some periodic schedules8min
Calculating optimal periodic schedules and their latencies16min
Calculating suitable buffer sizes8min
Semana
4
Horas para completar
1 hora para concluir

One final example

In this last week, we just discuss one more example, following the outline of the peer-reviewed assignment of the first module/week. It's just a little summary, combining everything we have learned so far, and there is some additional reading material to trigger an appetite for further discovery....
Reading
1 vídeo (total de (Total 21 mín.) min), 5 leituras
Video1 vídeos
Reading5 leituras
2015 Assignment on dataflow modeling.10min
Additional dataflow exercises10min
Example of an exam at masters level (without solutions)10min
Another example of an exam (with solutions)10min
Material created by fellow students10min

Instrutores

Avatar

Dr.ir. Pieter Cuijpers

Assistant Professor
Mathematics and Computer Science
Avatar

Anne Remke

Prof. dr.
Computer Science

Sobre 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: ...

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