Date:

10 October 2019 @ 9:00 am - 5:00 pm

Categories:

One Day Course on
“Internet of Things and Data Analytics for Industry”
By
Associate Professor Tham Chen Khong

10 October 2019, Thursday
9.00am – 5.00pm
Venue: National University of Singapore

Course Description

The objectives of this course are to enable participants to gain a working knowledge about the Internet of Things (IoT) and its potential to transform industrial sectors due to its ability to provide real‐time visibility into operational processes. It also covers  data analytics which enables trends to be identified and anomalies to be detected so that organisations can respond appropriately. A hands‐on session provides participants with the opportunity to put into practice the concepts learnt.

Learning Outcomes

  • Be informed about the state‐of‐the‐art in IoT devices and techniques
  • Understand the key technological building blocks of IoT devices, such as sensors, wireless networking and embedded systems
  • Understand IoT data aggregation and analytics using edge and cloud computing
  • Learn about data analytics algorithms for analysing real‐time IoT data and data sets
  • Gain experience in applying data analytics algorithms on IoT data to develop actionable insights based on an industry case study

Who Should Attend

Executives, engineers and managers who work with or plan to deploy IoT and data analytics technologies, particularly for anomaly detection and prediction

 Topics

  1. Introduction to the Internet of Things (IoT)
  • Sensors, smartmeters and wireless networks
  • Information processing at the edge and cloud, and ‘digital twin’
  1. Data Analytics for IoT Sensor Data
  • Data analytics techniques: regression and classification, including SVM
  • Anomaly detection and prediction from time‐series sensor data, with application in predictive maintenance
  1. Hands‐on Exercises
  • Participants will analyse sensor data using software to derive insights and perform anomaly detection and prediction based on an industry case study 

Course Fees

Non MDTS Alumni SGD856.00 per pax (including GST)
MDTS Alumni Free Admission for first 10 pax

Instructor’s Profile

Tham Chen Khong is an associate professor at the Department of Electrical and Computer Engineering (ECE) of the National University of Singapore (NUS). His  research and training activities are in the areas of sensor data analytics, wireless mobile computing and machine learning algorithms and architectures. Other than NUS, he has worked at A*STAR Institute for Infocomm Research (I2R) and Accenture. He has led a number of research projects funded by NRF, A*STAR and MOE, Singapore, as well as consultancy projects with industry. He obtained his Ph.D. and M.A. degrees in Electrical and  Information Sciences Engineering from the University of Cambridge, United Kingdom, and is a senior member of the IEEE.

 

Enquiry and Registration
For more information and registration, do send an email to tdsskeq@nus.edu.sg / tdsteomw@nus.edu.sg or contact us at +65 6516 5838 / +65 6516 3497

Please refer here for more information.