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Home / EVENTS

Technology Introduction: Artificial Intelligence & Internet-of-Things in Industries

Home / EVENTS

Technology Introduction: Artificial Intelligence & Internet-of-Things in Industries

Complex algorithms and software ingrained in Artificial Intelligence (AI) and IoT are key to emulate human cognition in the analysis and enable interpretation of multiplexes of the medical and health industry. The knowledge gained from this course will provide talents with the fundamentals of programming that covers basic concepts, terminologies, scopes of the element and their applicability in the industrial domains.

Course Breakdown

Overview of IoT and Industrial IoT

  • Introduction to IoT and its application in industries
  • Pre-test

AI and Machine Learning for IoT

  • Introduction to AI and machine learning
  • How it is applied to IoT solutions
  • Exploratory hands-on activity with Python

IoT Devices and Platform

  • Introduction to IoT devices and sensors
  • Begin constructions and programming IoT devices and sensors

Use Case: Building a Smart Temperature Controller

  • Introduction and implementation of the PID controller
  • Introduction of the decision-based system with machine learning
  • Construction of a decision system-based IoT temperature controller
  • Post-test
Solution Seeker

RM20

December 3, 2020
9:00 am
-
5:00 pm
Themes
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WHO SHOULD ATTEND
Emotional Intelligence Specialist
Managers
Human Resource
Startup Stages
Late Stage
Middle Stage
Early Stage
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Benefits

Solution Seeker

Agenda

Solution Seeker

Speakers

Solution Seeker

Dr. Timothy Yap Tzen Vun

Dr. Timothy Yap Tzen Vun received his PhD. from the System Identification and Control Group, Multimedia University in 2017. He is currently a Lecturer with the Faculty of Computing & Informatics, Multimedia University. His current research interests include system identification, blockchain, data engineering and machine learning. He has provided technical training as well as consultancy for various private as well as public entities.Timothy has been teaching undergraduate courses and mentoring post-graduate students in Multimedia University since 2006. He has also developed strong analytical skills from his vast experience in research. He has several peer-review publications in indexed journals and conferences, as well as provided consultancy in various capacities in the fields of system identification, big data, IoT and machine learning. He has received the Best Paper Award for 'Exploration of the smartphone as an input device for manipulating 3D space'. In International Conference on Intelligent and Interactive Computing (IIC 2015), Melaka, Malaysia.He has also developed training syllabi for technical training and conducted courses in technologies such as Hadoop, Python, R, Machine Learning and IoT for various clients including Ministry of Energy and Natural Resources (NRE), The Center of Applied Data Science (CADS) and Telekom Malaysia.

Solution Seeker

More important information

Solution Seeker
Home / EVENTS

Technology Introduction: Artificial Intelligence & Internet-of-Things in Industries

Dec 3, 2020 9:00 AM

-

Dec 3, 2020 5:00 PM

Virtual Class

RM20

Register Now

Solution Seeker
Register Now

Complex algorithms and software ingrained in Artificial Intelligence (AI) and IoT are key to emulate human cognition in the analysis and enable interpretation of multiplexes of the medical and health industry. The knowledge gained from this course will provide talents with the fundamentals of programming that covers basic concepts, terminologies, scopes of the element and their applicability in the industrial domains.

Course Breakdown

Overview of IoT and Industrial IoT

  • Introduction to IoT and its application in industries
  • Pre-test

AI and Machine Learning for IoT

  • Introduction to AI and machine learning
  • How it is applied to IoT solutions
  • Exploratory hands-on activity with Python

IoT Devices and Platform

  • Introduction to IoT devices and sensors
  • Begin constructions and programming IoT devices and sensors

Use Case: Building a Smart Temperature Controller

  • Introduction and implementation of the PID controller
  • Introduction of the decision-based system with machine learning
  • Construction of a decision system-based IoT temperature controller
  • Post-test

How does it work?

Key takeaways

Talents will be guided through theoretical knowledge on AI and IoT and hands-on activities which will allow them to self-develop more projects in future.

Learning Objective

By the end of the session, talents will be able to:

  • Understand the notion of AI and IoT
  • Employ analytics and machine learning
  • Operate and construct IoT devices and sensors
  • Implement smart IoT solutions

‍

Agenda

Speaker Profile

Dr. Timothy Yap Tzen Vun

Lecturer with the Faculty of Computing & Informatics, Multimedia University

Dr. Timothy Yap Tzen Vun received his PhD. from the System Identification and Control Group, Multimedia University in 2017. He is currently a Lecturer with the Faculty of Computing & Informatics, Multimedia University. His current research interests include system identification, blockchain, data engineering and machine learning. He has provided technical training as well as consultancy for various private as well as public entities.Timothy has been teaching undergraduate courses and mentoring post-graduate students in Multimedia University since 2006. He has also developed strong analytical skills from his vast experience in research. He has several peer-review publications in indexed journals and conferences, as well as provided consultancy in various capacities in the fields of system identification, big data, IoT and machine learning. He has received the Best Paper Award for 'Exploration of the smartphone as an input device for manipulating 3D space'. In International Conference on Intelligent and Interactive Computing (IIC 2015), Melaka, Malaysia.He has also developed training syllabi for technical training and conducted courses in technologies such as Hadoop, Python, R, Machine Learning and IoT for various clients including Ministry of Energy and Natural Resources (NRE), The Center of Applied Data Science (CADS) and Telekom Malaysia.

Solution Seeker
Solution Seeker
Register Now