Internet of Things and Data Analytics for Industry

Internet of Things and Data Analytics for Industry

Date: 9 to 10 May 2019
Time: 9am - 5pm
Venue: e2i, 80 Jurong East Street 21, Singapore 609607

Singapore Water Association will be organising a 2-Day course on Internet of Things and Data Analytics for Industry on 9-10 May 2019 at e2i. This programme is supported by Employment and Employability Institute Pte Ltd (“e2i”).

 Objectives

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, embedded and distributed processing and energy considerations
  • Understand IoT data aggregation and analytics using edge, fog and cloud computing
  • Appreciate the features found in modern IoT data processing platforms
  • 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

Course Topics

  1. Introduction to the Internet of Things (IoT)

– Sensors and smartmeters

– Wireless communication protocols: e.g. LoRa, NB-IoT

– Information processing at the edge and cloud

– Energy considerations

– Industry case study

  1. IoT and Data Platforms

– Data collection, storage, query, analysis and applications (platform examples: ThingWorx, MindSphere, Azure)

  1. Data Analytics for IoT Sensor Data

– Data analytics techniques: regression, clustering, classification using SVM

– Data modelling of time-series sensor data

– Anomaly detection from time-series sensor data

  1. Hands-on Exercise

– Participants will analyse sensor data using software to derive insights and perform anomaly detection

Course Programme 

Date

9-10 May 2019 (Thurs & Fri)

Duration

2 Days

Time

9.00am – 5.00pm

Venue

E2i, 80 Jurong East Street 21, Singapore 609607

 

Course Fee (GST is not applicable)

Course Fee

SWA Member

Non-Member

Full Fee

SGD 1,250.00

SGD 1,380.00

E2i course fee subsidy*

SGD    240.00

SGD    240.00

Nett Course Fee

SGD 1,010.00

SGD 1,140.00

 

* Eligibility for e2i Funding:

  • Employed Singaporean or Singapore PRs who are self-sponsored or employer-sponsored
  • Achieve at least 75% attendance
  • The participants and/or the Company shall not receive any other funding from government sources

Award of Certificate & PEB Programme

  1. A Certificate of Completion will be awarded to participants who meet the 75% attendance.
  2. This course is qualified for PDUs by PEB (PDUs to be confirmed).

Registration:  
Participants are advised to make payment for the Full Fees before the course commences to ensure that your registration is confirmed and accepted.

To register, please fill up the registration form and fax to 65150813 or email to cecilia@swa.org.sg  by 22 April 2019. Registration will be on a first-come first served basis (This course is limited to 20 participants only).  

Looking forward to your support and participation.

Registration_Form IoT 2019