Neural Networks for the Internet of Things

Short Course

Neural Networks for the Internet of Things

Programme Schedule	Duration (days)	Mode of Delivery	Programme Code
To be advised	2	Classroom Learning	TGS-2022011564

Course Overview

In this course, participants will learn the basics of neural networks, covering both unsupervised and supervised networks. Topics covered include unsupervised methods like Hebbian Learning, Kohonen Self Organizing Maps and K-Means Clustering, and supervised methods like the Perceptron Learning Law and Gradient Descent. Participants will also look at other forms of gradient descent, and the key issues in designing neural networks to get the best performance, including sizing the network, selecting loss and optimization methods, and overcoming under and overfitting.

Course Objectives

At the end of this course, participants will be able to design neural networks to learn and make predictions and decisions about IoT data.

Who Should Attend

IoT, backend and blockchain engineers.

Prerequisites

Bachelor’s Degree in Computer Science, Electrical Engineering, with programming knowledge. Other Bachelor Degree holders who can exhibit programming experience may also be considered. Learners must complete the Statistical Models for the Internet of Things.

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This programme is part of

Professional Certificate in Deep Learning for IoT

Types of Available Fundings

SkillsFuture Credit

UTAP

PSEA

Enhanced Training Support

SFEC

Testimonials

Excellent training programme.

Excellent introduction to neural networks and how they are used.

Now I can grasp how computers works. How machine learning functions, learns and recognises words, languages and images. It can also use Big Data to correct itself or add more data to use and analyse images and languages.

Instructors

A/Prof Colin Tan Keng Yan

A/Prof Colin Tan Keng Yan is a senior lecturer at the Department of Computer Science, NUS School of Computing. He specializes in embedded systems and operating systems related courses. Colin has taught courses on real-time system design, operating systems, programming methodology, and had taught a course on software product development for digital markets. In this course students are given a semester to build three production quality software systems, with the first two being on Facebook and on HTML5, and in the third project students are given free rein on the technologies that they would like to use. The third project is particularly beneficial to students, as they get real first-hand experience in building a software product, from conceptualizing, validating their concept with users, to User Interface (UI) design, UI validation with users, building the system, and finally to marketing their systems to recruit thousands of users before their project submission deadline. Projects completed in this module have spawned startups like Pearcomms, HunQRy and PaperBaton, while alumni in this course have gone on to careers in tech giants like Facebook, Google and Microsoft. Colin, together with two other CS colleagues and three ECE colleagues, is currently teaching a course that gives first-year Computer Engineering students first-hand experience in building non-trivial computer systems like tele-operated robots. Students learn key issues of high-efficiency hardware programming, dealing with electro-mechanical issues like variations in motor and gearbox quality, secure network communications, and real-time mapping of the environment using algorithms like SLAM. They also pick up key skills like performing independent research, and learning how to improvise to solve problems with limited resources. Colin also runs courses in drone design, construction and programming. Colin has written a lightweight operating system for the Arduino called ArdOS that fits into less than a kilobyte of memory, available at https://bitbucket.org/ctank/ardos-ide/wiki/Home. He has also written several other libraries for the Arduino including smartTimer, a library for writing timer-based embedded systems, which also includes a software-based real-time clock for the Arduino, and smartSerial, a bare-metal bare-bones serial communications library for the Arduino. His Bitbucket repository is available at https://www.bitbucket.org/ctank. Colin is Lab Coordinator for Makers@SoC, a maker space that was recently set up to give students a chance to immerse themselves in maker culture, which is a blend of DIY and technology. Makers@SoC addresses two key concerns of the industry: that we are producing technology professionals who can only code and cannot build anything physical – a key concern in fields like IoT – and that CS majors may not have a good appreciation of the hardware on which they build their systems. Makers@SoC runs courses in 3D modeling, basic electronics, microcontroller interfacing and programming, circuit design and fabrication, and through-hole and surface-mount soldering. Colin is Chairperson for the IT Software Solutions for Business trade for Worldskills Singapore 2016 and Worldskills Singapore 2018, and has been a long-time General Secretary for the National Olympiad for Informatics (NOI) competition. Outside of academia Colin reads widely into Catholic theology, is a sponsor and a speaker at the Rite of Christian Initiation of Adults (RCIA) Programme, and is a council member and a formation instructor at the Secular Order of Discalced Carmelites (OCDS) in the Roman Catholic Church of Singapore. He is also an avid foodie, a cigar collector, an enthusiast of retro technology, and a somewhat decent and fairly eclectic cook.

Programme Fees

	Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
	39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
Full Programme Fee	S$1,900.00	S$1,900.00	S$1,900.00	S$1,900.00	S$1,900.00
Less: SSG Grant Amount	S$1,330.00	S$1,330.00	S$1,330.00	S$1,330.00	-
Nett Programme Fee	S$570.00	S$570.00	S$570.00	S$570.00	S$1,900.00
9% GST on Nett Programme Fee	S$51.30	S$51.30	S$51.30	S$51.30	S$171.00
Total Nett Programme Fee Payable, Including GST	S$621.30	S$621.30	S$621.30	S$621.30	S$2,071.00
Less Additional Funding	-	S$380.00	-	S$380.00	-
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes	S$621.30	S$241.30	S$621.30	S$241.30	S$2,071.00

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
GST shall apply at prevailing rates.
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
Singaporeans and Singapore PRs are eligible for up to 90% SkillsFuture Singapore (SSG) funding, subject to SSG funding guidelines.

Other Information

This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

A/Prof Colin Tan Keng Yan

Advanced Computing for Executives