Internet of Things (IoT) frameworks and standards in the 4th Industry Revolution  (4IR)

LEVEL: INTERMEDIATE                    HRDF: CLAIMABLE 

Ten (10) CPD Hours approved by MBOT

TRAINERS: 

Associate Professor Ts. Dr. Toni Anwar (utp) & mr Muhammad Shahrin Nidzam Bin Effendy (KukuBytes Solution)

 

1 - 3 JUNE 2022

 

CAPE

 

9.00AM - 5.00PM

 

RM 3,200 FOR PROFESSIONALS

10% Discount for Early Bird (until 1 May 2022) / Group / Students

CONTENT SUMMARY

INTRODUCTION

In this course we explore the Internet of Things (IoT) in relation to the other disruptive technologies like Big Data, Cloud Computing, Machine Learning and Edge Computing with different case studies from the 4IR industry world.

Standards and Frameworks of IoT are studied from the Monitoring, Sensing and Collecting of Data via Sensors and Microcontrollers like Arduino and Raspberry Pi, Communications Protocols and Standards, Connectivity Blocks, IoT Device Architecture, Security, Analyze in conjunction with Big Data Analytics and Machine Learning.

Case studies will be discussed i.e. data processing, real time communications medium and data analytics with SQL and analyzed with different applications from the industry world.

COURSE CONTENT

IoT and 4IR in general

  • What is 4IR 
  • What is IoT and why it is important
  • Elements of an IoT ecosystem in IoT applications

IoT Frameworks and Standards 

  • Monitoring, Sensing, Data Collection, Communication, Analyze and Application Layers including relationships to Big Data Analytics, Cloud Computing, Edge Computing Machine Learning

IoT Analytics and Applications

  • Real-Time communication medium in IoT (with Raspbery Pi/Arduino).
  • Data processing and storing with SQL. 

OBJECTIVES

Upon completion of this course, participants will be able to:

  • Demonstrate the IoT and disruptive technology impacts on the business and organization in the 4IR world.
  • Understanding the IoT frameworks and standards in relation to Big Data Analytics, Machine Learning, Edge- and Cloud Computing 
  • Analyze and Apply IoT technology in the industry world.


WHO SHOULD ATTEND?

  • Anyone interested in Industry 4.0 disruptive technology (IoT, Big Data , Cloud Computing, Edge Computing, AI,  Machine Learning etc. ) and the impact of this technology on the strategic industry world
  • Managers and Executives related to 4IR implementation in the industry world
  • Engineers, Researchers & Consultants in Information and Communication Technology (ICT)





OUR TRAINERS

1. Associate Professor Ts. Dr. Toni Anwar(UTP)

2017 – now : Associate Professor at Universiti Teknologi Petronas (UTP), Bandar Seri Iskandar, Malaysia. 2011 – 2017 : Associate Professor at Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia. 2007 – 2011: Coordinator Software Systems Engineering (SSE), The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), joint education by RWTH Aachen Germany/KMUTNB Bangkok Thailand. 2006  – 2007: Visiting Lecturer Universiti Sains Malaysia (USM), Penang, Malaysia. March – June 2006 : Guest Scientist at Lehrstuhl für Informatik 4, RWTH Aachen University in Germany, scholarship by Friedrich Naumann Stiftung.  2004 – 2005 : Head of Informatics Department, Head of ICT Universitas Pelita Harapan (UPH), Karawaci, Indonesia. 2000 – 2003 : Lecturer, Head of Computer & Internet Lab (Universitas Krida Wacana, Jakarta, Indonesia), Business Consultant (Nasio for Cable TV/Cable Modem, Selancom for GSM), Satellite Communication Sales GM (Sinosat Indonesia)1998 – 2000 : Siemens (Regional Account Manager –Multimedia e.g. Cable - TV, ATM, VoIP)1995-1996 : Motorola (Business Manager – GSM 900/1800, Narrowband CDMA)1992 – 1998 : Ericsson (Scientist, Group Product Manager, Business Development Manager & Quality Manager - Voice & Data Communication)1986 – 1991 : RWTH Aachen (1989-1991 at Lehrstuhl für Informatik 4. Informatics Undergraduate final year project in Aritificial Intelligence.Promotion : 1991, title : „Mobilfunknetze in einem Ballungsgebiet“ („Mobile radio network in an urban area“)

2. Mr Muhammad Shahrin Nidzam Bin Effendy (KukuBytes Solution)

Mr Muhammad Shahrin Nidzam from industry, KukuBytes Solution. He is Technical review and have industrial experience in IoT, Big Data, Machine Learning,. Microservices and Multiple Database Architecture.

COUNTDOWN

REGISTRATION FEES

PROFESSIONALS

MYR3,200*

*fee quoted does not include SST, GST, HRDF service fee / VAT or withholding tax (if applicable).

EARLY BIRD/ GROUP/ STUDENT

MYR2,880*

*fee quoted does not include SST, GST, HRDF service fee / VAT or withholding tax (if applicable).

OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 16, Menara 2, Menara Kembar Bank Rakyat, 50470, Jalan Travers, Kuala Lumpur.

CALL US

+605 - 368 7558 /

+605 - 368 8485

DROP US AN EMAIL

cape@utp.edu.my