IoT Programming and Big Data
link Source: www.edx.org
list 5 sequences
assignment Level : Introductory
chat_bubble_outline Language : English
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Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 20 hours in total

About the content

The Internet of Things is creating massive quantities of data, and managing and analysing it requires a unique approach to programming and statistics for distributed data sources.

This course will teach introductory programming concepts that allow connection to, and implementation of some functionality on, IoT devices, using the Python programming language. In addition, students will learn how to use Python to process text log files, such as those generated automatically by IoT sensors and other network-connected systems.

Learners do not need prior programming experience to undertake this course, and will not learn a specific programming language - however Python will be used for demonstrations. This course will focus on learning by working through realistic examples.

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Syllabus

  • Appreciate the software needs of an IoT project
  • Understand how data is managed in an IoT network
  • Apply software solutions for different systems and Big Data to your IoT concept designs
  • Create Python scripts to manage large data files collected from sensor data and interact with the real world via actuators and other output devices.
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Instructors

Iain Murray AM
Professor and Curtin Academy Fellow
Curtin University

Siavash Khaksar
Academic
Curtin University

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Content Designer

Curtin University
Curtin University
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Platform

Edx

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Best Review

Très orienté pratique. Durée (20h) conséquente. Permet de comprendre comment on peut facilement récupérer les données de capteurs ou agir sur eux par un langage à la mode (python). Par contre l’aspect Big Data mentionné dans le titre semble traité uniquement sous l’angle filtrage et pas au niveau stockage (base de données).

Anonymous
Anonymous,
Published on July 11, 2020
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Anonymous,
July 11, 2020
starstarstarstar

Très orienté pratique. Durée (20h) conséquente. Permet de comprendre comment on peut facilement récupérer les données de capteurs ou agir sur eux par un langage à la mode (python). Par contre l’aspect Big Data mentionné dans le titre semble traité uniquement sous l’angle filtrage et pas au niveau stockage (base de données).