IoT Programming and Big Data
IoT Programming and Big Data
Title: IoT Programming and Big Data
Author for citation: Murray et al.
License for content: Unknown
Publication date: 2023
This is a Curtin University course that is released on the edX platform. The five-week course is designed for students to "learn how to apply software solutions for different systems and big data needs to your IoT designs." The course is free to take, with a Verified Certificate of completion available for $199 (the free audit track ends on August 22). This course is also part of Curtin's Internet of Things MicroMasters program. The course requires on average four to six hours a week of effort.
The edX course description:
"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."
"What you'll learn:
- 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."
About the authors
The instructors for this course are Iain Murray, Siavash Khaksar, Yifei Ren, Johannes U. Herrmann, and Valerie Maxville. See each instructor's profile for more information.
General layout and contents of the course
A pre-enrollment syllabus for this course isn't available, and therefore the sections of the course are unknown.
The course
: The course can be found on the edX site, under the Computer Science category. Access to the class began in July and ends December 3. The free audit track ends August 22.
- Iain Murray, Professor and Curtin Academy Fellow at Curtin University. "Iain is an academic in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, specialising in networking, embedded systems and assistive technology. He received his B.Eng(Hons) and Ph.D. in Computer Systems Engineering from Curtin in 1998, and 2008, respectively. He is a Curtin Academy Fellow and was appointed a Member of the Order of Australia for his contributions to education in 2016."
- Siavash Khaksar, Assistant Instructor at Curtin University. "Siavash is an academic in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University. He received his B.Sci in Electrical and Electronics Engineering from Azad University, Science and Research branch in Fars in 2012, his M.Eng in Electrical Engineering with a focus on Embedded Systems from Curtin University in 2015, and is currently undertaking post-graduate research focusing on assistive technology and use of motion sensors and machine learning to help children with cerebral palsy. He specialises in embedded systems and digital hardware-software codesign."
