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Johannes U. Herrmann,
Valerie Maxville,
Iain Murray AM,
Siavash Khaksar,
and
Yifei Ren
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/oih8hl/iot
What's inside
Learning objectives
- 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.
- 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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners who want to get started with IoT projects
Teaches fundamental Python programming concepts that are essential for working with IoT devices
Provides practical experience through realistic examples, making the learning process more engaging and effective
Taught by experienced instructors with expertise in IoT and Python programming, ensuring high-quality content
This course can help learners develop a strong foundation in IoT programming, but it does not cover advanced concepts
Save this course
Save IoT Programming and Big Data to your list so you can find it easily later:
Save
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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 IoT Programming and Big Data with these
activities:
Explore IoT fundamentals
Show steps
Build a basic understanding of IoT concepts, which will enhance your ability to follow the course content.
Browse courses on
IoT
Show steps
-
Read an online article or blog post about IoT
-
Watch a short video tutorial on IoT basics
Review programming concepts
Show steps
Start by reviewing core programming concepts to set a strong foundation for learning IoT concepts in this course.
Browse courses on
Python
Show steps
-
Review a beginner's guide to Python
-
Practice Python basics with online coding exercises
Organize and review existing course materials
Show steps
Strengthen your understanding by organizing and reflecting on the materials covered in the course.
Show steps
-
Review lecture notes and slides
-
Organize and summarize key concepts
-
Create flashcards or a study guide
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss IoT project ideas with classmates
Show steps
Gain diverse perspectives and refine your understanding by discussing IoT project ideas with peers.
Show steps
-
Form a study group or connect with classmates online
-
Share project ideas and discuss their feasibility
-
Provide feedback and suggestions to improve each other's ideas
Follow online tutorials on IoT data management
Show steps
This course introduces IoT data management techniques. To enhance your understanding, reinforce these concepts by following online tutorials.
Browse courses on
IoT Data Management
Show steps
-
Identify a trustworthy source for IoT data management tutorials
-
Choose a tutorial that aligns with the course content
-
Follow the tutorial step-by-step, taking notes and practicing the concepts
Build a simple IoT project
Show steps
Putting IoT concepts into practice with a project will deepen your understanding of how these concepts work in real-world scenarios.
Browse courses on
Arduino
Show steps
-
Choose a simple IoT project idea
-
Gather the necessary materials and components
-
Build the project following instructions or tutorials
-
Test and refine your project
Solve coding challenges related to IoT data analysis
Show steps
Reinforce your Python programming skills and apply them to real-world IoT data analysis scenarios.
Show steps
-
Find coding challenges on websites like LeetCode or CodeChef
-
Choose challenges that involve IoT data analysis
-
Solve the challenges using Python
Contribute to open-source projects related to IoT data analysis
Show steps
Enhance your understanding of IoT data analysis and contribute to the community by participating in open-source projects.
Show steps
-
Find open-source projects on platforms like GitHub
-
Choose a project that aligns with your interests
-
Submit bug reports, feature requests, or code contributions
Explore IoT fundamentals
Show steps
Build a basic understanding of IoT concepts, which will enhance your ability to follow the course content.
Browse courses on
IoT
Show steps
Show steps
Show steps
- Read an online article or blog post about IoT
- Watch a short video tutorial on IoT basics
Review programming concepts
Show steps
Start by reviewing core programming concepts to set a strong foundation for learning IoT concepts in this course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review a beginner's guide to Python
- Practice Python basics with online coding exercises
Organize and review existing course materials
Show steps
Strengthen your understanding by organizing and reflecting on the materials covered in the course.
Show steps
Show steps
Show steps
- Review lecture notes and slides
- Organize and summarize key concepts
- Create flashcards or a study guide
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss IoT project ideas with classmates
Show steps
Gain diverse perspectives and refine your understanding by discussing IoT project ideas with peers.
Show steps
Show steps
Show steps
- Form a study group or connect with classmates online
- Share project ideas and discuss their feasibility
- Provide feedback and suggestions to improve each other's ideas
Follow online tutorials on IoT data management
Show steps
This course introduces IoT data management techniques. To enhance your understanding, reinforce these concepts by following online tutorials.
Browse courses on
IoT Data Management
Show steps
Show steps
Show steps
- Identify a trustworthy source for IoT data management tutorials
- Choose a tutorial that aligns with the course content
- Follow the tutorial step-by-step, taking notes and practicing the concepts
Build a simple IoT project
Show steps
Putting IoT concepts into practice with a project will deepen your understanding of how these concepts work in real-world scenarios.
Browse courses on
Arduino
Show steps
Show steps
Show steps
- Choose a simple IoT project idea
- Gather the necessary materials and components
- Build the project following instructions or tutorials
- Test and refine your project
Solve coding challenges related to IoT data analysis
Show steps
Reinforce your Python programming skills and apply them to real-world IoT data analysis scenarios.
Show steps
Show steps
Show steps
- Find coding challenges on websites like LeetCode or CodeChef
- Choose challenges that involve IoT data analysis
- Solve the challenges using Python
Contribute to open-source projects related to IoT data analysis
Show steps
Enhance your understanding of IoT data analysis and contribute to the community by participating in open-source projects.
Show steps
Show steps
Show steps
- Find open-source projects on platforms like GitHub
- Choose a project that aligns with your interests
- Submit bug reports, feature requests, or code contributions
Career center
Learners who complete IoT Programming and Big Data will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use programming skills to analyze large datasets to reveal patterns and trends. This course provides an introduction to programming concepts, including how to connect to and interact with IoT devices. This knowledge can be valuable for Data Scientists who need to work with data from IoT devices. Additionally, the course covers how to process large data files, which is a valuable skill for Data Scientists who need to analyze large datasets from a variety of sources.
Data Analyst
Data Analyst
Data Analysts use programming skills to clean, analyze, and interpret data. This course provides an introduction to programming concepts, as well as how to process large data files and manage data from IoT devices. These skills can be valuable for Data Analysts who need to work with data from a variety of sources, including IoT devices.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course provides an introduction to programming concepts, which is a valuable foundation for Software Engineers. Additionally, the course covers how to process large data files, which can be valuable for Software Engineers who need to work with data from a variety of sources, including IoT devices.
IT Consultant
IT Consultant
IT Consultants advise businesses on how to use technology to improve their operations. This course provides an introduction to programming concepts, including how to connect to and interact with IoT devices. This knowledge can be valuable for IT Consultants who need to work with businesses that are using or considering using IoT devices.
Business Analyst
Business Analyst
Business Analysts analyze business processes and design solutions to improve efficiency. This course provides an introduction to programming concepts, which can be valuable for Business Analysts who need to understand how technology can be used to improve business processes. Additionally, the course covers how to process large data files, which can be valuable for Business Analysts who need to analyze data from a variety of sources, including IoT devices.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. This course provides an introduction to programming concepts, which is a valuable foundation for Systems Analysts. Additionally, the course covers how to process large data files, which can be valuable for Systems Analysts who need to manage data from a variety of sources, including IoT devices.
Web Developer
Web Developer
Web Developers design and develop websites. This course provides an introduction to programming concepts, which is a valuable foundation for Web Developers. Additionally, the course covers how to interact with IoT data and integrate it into web applications.
Database Administrator
Database Administrator
Database Administrators maintain databases and ensure that data is secure and reliable. This course provides an introduction to programming concepts, which is a valuable foundation for Database Administrators. Additionally, the course covers how to manage large data files, which is a valuable skill for Database Administrators who need to manage data from a variety of sources, including IoT devices.
Network Engineer
Network Engineer
Network Engineers design, implement, and maintain computer networks. This course provides an introduction to programming concepts, which can be valuable for Network Engineers who need to understand how to connect and manage IoT devices on a network.
Project Manager
Project Manager
Project Managers plan and execute projects. This course provides an introduction to programming concepts, which can be valuable for Project Managers who need to understand how to integrate IoT technology into projects.
Product Manager
Product Manager
Product Managers develop and launch new products. This course provides an introduction to programming concepts, which can be valuable for Product Managers who need to understand how to use IoT technology to develop new products.
Sales Manager
Sales Manager
Sales Managers develop and implement sales strategies. This course provides an introduction to programming concepts, which can be valuable for Sales Managers who need to understand how to use IoT technology to generate leads and close deals.
Marketing Manager
Marketing Manager
Marketing Managers develop and implement marketing strategies. This course provides an introduction to programming concepts, which can be valuable for Marketing Managers who need to understand how to use IoT technology to reach target audiences.
Human Resources Manager
Human Resources Manager
Human Resources Managers develop and implement human resources policies and procedures. This course provides an introduction to programming concepts, which may be useful for Human Resources Managers who need to understand how to use IoT technology to automate HR processes.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data and make investment recommendations. This course provides an introduction to programming concepts, which may be useful for Financial Analysts who need to understand how to use IoT technology to analyze financial data.
For more career information including salaries, visit:
OpenCourser.com/course/oih8hl/iot
Reading list
We've selected 12 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
IoT Programming and Big Data.
Delves into embedded C programming, providing a solid foundation for IoT development. Ideal for learners seeking a strong understanding of IoT programming fundamentals.
Save
Serves as a comprehensive introduction to IoT networking, protocols, and security, ergänzend the course's coverage of data management and communication.
Serves as a comprehensive guide to Python's data analysis capabilities, enhancing the course's focus on Python for data processing.
Save
Provides a comprehensive overview of data mining techniques and algorithms, complementing the course's focus on data analytics.
Save
This comprehensive text guides learners through the complexities of Big Data analytics, offering a strategic perspective and industry insights.
Introduces reinforcement learning concepts and algorithms, complementing the course's focus on data analysis and predictive modeling.
Offers a practical guide to Big Data analytics using Python and Hadoop, complementing the course's coverage of data management and analysis.
Provides a practical guide to machine learning using popular Python libraries, enhancing the course's focus on data analysis and predictive modeling.
Save
Provides a comprehensive overview of deep learning techniques and algorithms, offering advanced insights into data analysis and predictive modeling.
Provides a practical approach to wireless sensor network design and implementation, enhancing the course's understanding of data acquisition in IoT systems.
This practical guide provides detailed instructions and insights into the Raspberry Pi, a popular platform for IoT projects.
Offers a gentle introduction to data analytics concepts and techniques, suitable for learners with no prior background in the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/oih8hl/iot
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Effort
4 to 6 hours per week for 5 weeks
Level
Introductory
Via
edX
Institution
Curtin University
Instructors
Johannes U. Herrmann
Valerie Maxville
Iain Murray AM
Siavash Khaksar
Yifei Ren
Session
April 16, 2024
- December 1, 2024
Language
English
Transcript
English
This course belongs to a
collection
called
Internet of Things (IoT). It's comprised of six courses:
- Introduction to the Internet of Things (IoT)
- IoT Sensors and Devices
- IoT Networks and Protocols
- IoT Programming and Big Data (viewing)
- Cybersecurity and Privacy in the IoT
- IoT Capstone Project
Good to know
Builds a strong foundation for beginners who want to get started with IoT projects
Teaches fundamental Python programming concepts that are essential for working with IoT devices
Provides practical experience through realistic examples, making the learning process more engaging and effective
Taught by experienced instructors with expertise in IoT and Python programming, ensuring high-quality content
This course can help learners develop a strong foundation in IoT programming, but it does not cover advanced concepts
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