Key Takeaways
Upon completion of the course, the participants will be able to:
- Describe general principles and patterns for holistically building human-centric smart systems
- Design human centric smart interfaces using front end IoT devices such as sensors, smart gloves, and other wearables
- Build a human centric system using the front end IoT devices and open source Motion Analysis Software, like Kinovea and PhysMo, to sense and identify human activities
- Integrate Artificial Intelligence (AI) models and human-centric interfaces such as AR/VR/gesture/voice into the human-centric smart system
Who Should Attend
It is applicable for professionals engaged in the following areas:
- Software Architects
- Senior Software Engineers
Prerequisites
The target course participants are anyone interested in architecting and building human centric smart systems. There is a prerequisite for participants to possess fundamental knowledge in Python/MATLAB programming.
What to Bring
No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.
If you are bringing a laptop, please see below for the tech specs:
|
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Minimum
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Recommended
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Computer and processor
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1.6 GHz or faster, 4-core Intel Core i5 or equivalent
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1.8 GHz, 4-core Intel Core i7 or equivalent
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Memory
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8 GB RAM
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16GB RAM
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Hard Disk
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500 GB disk size
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500GB disk size
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Display
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1280 x 1024 screen resolution (32-bit requires hardware acceleration for 4K and higher)
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Graphics
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Graphics hardware acceleration requires DirectX 9 or later, with WDDM 2.0 or higher for Windows 10 (or WDDM 1.3 or higher for Windows 10 Fall Creators Update).
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DirectX 10 graphics card for graphics hardware acceleration
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Others
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An internet connection – broadband wired or wireless
Speakers and a microphone – built-in or USB plug-in or wireless Bluetooth
A webcam or HD webcam - built-in or USB plug-in
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| Software |
Install Kinovea verison 0.8.15 prior coming to class |
Install Kinovea verison 0.8.15 prior coming to class |
What Will Be Covered
The Humanizing Smart Systems course will be a 4.0 days public short course comprising 4 modules and their respective workshops. Participants will gain important knowledge in designing humanizing smart interfaces and devices using front end IoT devices such as sensors, smart gloves, and other wearables and algorithms. These are not present in our competitors’ courses. There will be practical application of tools, knowledge, and project presentation, thus allowing attendees to develop the knowledge and skills required to develop humanizing smart systems for real world practical applications.
The outline teaching agenda is as follows:
Day 1: Human-centric systems design methodologies
Module 1
Workshop 1
Day 2: Human-centric IoT devices
Module 2
Workshop 2
Day 3: Human-Machine Interfacing
Module 3
Workshop 3
Day 4: AI models for Human Activity Recognition
Module 4
Workshop 4
Final Assessment
Fees & Subsidies
Fees for 2024
| |
Full Fee |
Singaporeans & PRs
(self-sponsored) |
| Full course fee |
S$3600 |
S$3600 |
| ISS Subsidy |
- |
(S$360) |
| Nett course fee |
S$3600 |
S$3240 |
| 9% GST on nett course fee |
S$324 |
S$291.60 |
| Total nett course fee payable, including GST |
S$3924 |
S$3531.60 |
Note:
- All fees and subsidies are valid from January 2024, unless otherwise advised.
- All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
- From 1st January 2024, the GST will be increased to 9%.
Certificate
Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
WIFI Access
WIFI access will be made available to participants.
Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.
Course Confirmation
All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.
General Enquiry
Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.