About this Course
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Learner Career Outcomes

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 20 hours to complete

Suggested: 5 weeks of study, 1-2 hours/week...

English

Subtitles: English

Learner Career Outcomes

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 20 hours to complete

Suggested: 5 weeks of study, 1-2 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
15 minutes to complete

Introduction

1 video (Total 5 min), 1 reading
1 video
1 reading
Some suggested reading material10m
4 hours to complete

Modeling systems as token consumption/production systems

11 videos (Total 70 min), 3 readings, 6 quizzes
11 videos
Consumption and production of tokens5m
Modeling an intensive care unit5m
Modeling a wireless LAN radio4m
Modeling and refining an industrial robot6m
Pick your own system1m
Classes of Petri-nets8m
Causality, choice and concurrency (modeling patterns)9m
Refinement of consumption/production systems8m
Interpreting pictures for performance analysis10m
Draw your own model3m
3 readings
Always ask yourself...10m
The refinement of the robot.10m
Tooling10m
5 practice exercises
Basic modeling ideas16m
Modeling Warehouse 136m
Modeling features10m
Definition of refinement2m
Which is a refinement of which?4m
Week
2
3 hours to complete

Syntax and semantics

14 videos (Total 103 min), 5 readings, 5 quizzes
14 videos
Syntax and semantics3m
The basics9m
Extensions4m
Prefix orders7m
Exercise on prefix orders7m
Proof that flows form a prefix order14m
Formalizing interpretations as functions8m
Counting is order preserving6m
Formalizing the Petri-net interpretation10m
Proof that the number of tokens in a single-rate dataflow cycle is constant13m
Formalizing timing6m
Formalizing eager scheduling5m
Formalizing periodic scheduling4m
5 readings
Flags and Fitch style proofs10m
Slides of the proof10m
Slides of the proof10m
Exercise: Formalize best-case response times10m
About the next quiz.10m
5 practice exercises
Bipartite graphs2m
Thinking about observation functions4m
Isomorphism2m
Summarize!2m
Formalizing performance properties16m
Week
3
3 hours to complete

Performance analysis

20 videos (Total 131 min), 2 readings, 5 quizzes
20 videos
Throughput is bounded by 1/MCM8m
Proof - a1m
Proof - b9m
Proof - c1m
Proof - d3m
Proof - e7m
Proof - f4m
Proof - g4m
Proof - h8m
Proof - i12m
Proof - j8m
The throughput bound is tight5m
Periodic scheduling of a dataflow graph12m
Latency analysis of a periodic schedule6m
Latency analysis of an eager schedule9m
The formal definition of latency5m
The boot-up time of a dataflow graph4m
Optimizing latency estimates w.r.t. boot-up time5m
Buffering and backpressure5m
2 readings
Slides of the proof10m
Alternative proof in synchronization and linearity10m
5 practice exercises
Summarize!2m
Calculating the MCM and worst-case throughput10m
Calculate some periodic schedules8m
Calculating optimal periodic schedules and their latencies16m
Calculating suitable buffer sizes8m
Week
4
1 hour to complete

One final example

1 video (Total 21 min), 5 readings
1 video
5 readings
2015 Assignment on dataflow modeling.10m
Additional dataflow exercises10m
Example of an exam at masters level (without solutions)10m
Another example of an exam (with solutions)10m
Material created by fellow students10m

Instructors

Avatar

Dr.ir. Pieter Cuijpers

Assistant Professor
Mathematics and Computer Science
Avatar

Anne Remke

Prof. dr.
Computer Science

About EIT Digital

EIT Digital is a pan-European organization whose 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 and blended Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by 20 leading technical universities around Europe. The universities 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. Please visit https://www.eitdigital.eu/eit-digital-academy/ ...

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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