I O T MicroMasters About To Start
Written by Sue Gee   
Monday, 26 February 2018

A MicroMasters program focusing on the Internet of Things (I o T) on the edX platform starts on February 27th. To gain the credential, which comprises six courses, will take fourteen months and counts towards a Masters degree on-campus at Curtin University, Western Australia's largest university. 

 

If you don't plan to study at Curtin University or have another need for  a formal credential, you can audit any or all of the courses that make up the IoT Micro Masters for free - but in the case of IoT6x, the Capstone Project, you have to have completed all five of courses that lead up to it. Auditing gives complete access to all the course material, activities, tests, and forums but not a certificate.

In this video introducing the series of courses, Professor Ian Murray, one of seven academics from Curtun University who are instructors for the series of courses, explains the Internet of Things as the connection of multiple devices while Ken Boal and Tom Goerke of Cisco describe what it will achieve as "instrumenting the world":

 

 

The premise for the series of course is that: 

The explosion of embedded and connected smart devices, systems and technologies in our lives has created an opportunity to connect every ‘thing’ to the internet. The resultant data collection and connectivity has created efficiencies and solutions previously dreamt up only in science fiction stories.

This is disrupting and transforming every industry around the world.

The !oT MicroMaster program is aimed at:

Professionals from any field who want to leverage their existing business and/or technical knowledge across IoT-related functions in their workplace will learn exactly what IoT is, how it works, and how to harness its power to improve and streamline your business.

The MicroMasters credential will provide 100 credits (25%) of the 400 credit Master of Engineering Science (Electrical Engineering) at Curtin University. You can save 10% if you enroll in the complete program of six courses up front. To audit the program for free you'll need to enroll separately in each course.

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There are no prerequisites for its initial course   Introduction to the Internet of Things (IoT), which starts on February 27 lasts 5 weeks and requires 2-3 hours per week. Taught by Professor Iain Murray and network specialist Nazanin Mohammadi it examines the concept of IoT,  how the the "things" are connected and communicate and how they value add to the data generated.

Participants will gain an understanding of what the IoT is and the requirements to design their own IoT solutions and start to develop IoT ideas in their own industries..

Here's the timetable for the rest of the series with a brief outline of each course:

  • IoT Sensors and Devices
    Starts on May 1, 2018; 5 weeks; 2-3 hours per week

    Explore various IoT devices and sensor types, how they work, and how we connect them. Map out the process for developing your own IoT ideas.  
  • IoT Networks and Protocols
    Starts on July 3, 2018; 5 weeks; 2-3 hours per week

    Learn about IoT networks and the protocols and standards associated with the Internet and how these apply to the IoT.  
  • IoT Programming and Big Data
    Starts on September 4, 2018 5 weeks; 2-3 hours per week

    Learn how to apply software solutions for different systems and Big Data needs to your IoT designs.   
  • Cybersecurity and Privacy in the IoT
    Starts on November 6, 2018 5 weeks; 2-3 hours per week

    Learn about the security and privacy implications of the IoT and how to design a secure system.

     

  • IoT Capstone Project
    Starts on January 29, 2019 12 weeks; 2-3 hours per week

    Engage fully in the process of designing an IoT solution, from initial analysis of the creative idea to planning out the product, research and design, and identifying a route to market. 

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More Information

Internet of Things MicroMasters

Related Articles

MIT Professional Education Program On IoT

Online Training For IoT Development

Internet of Things MOOC On FutureLearn

Algorithms & Data Structures MicroMasters

 

 

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