Intelligent Sensing and Sense Making

Overview

Reference No	TGS-2020001506
Part of	Graduate Certificate in Pattern Recognition Systems
Duration	4 days
Course Time	9.00am - 5.00pm
Enquiry	Please email ask-iss@nus.edu.sg for more details

How can we amplify the soft whispers of sensory data into impactful insights in the age of AI?

Dive into the world of intelligent sensing and signal processing with our cutting-edge course to equip you with the knowledge and skills to innovate in the rapidly evolving tech landscape. Over the past decades, sensor and sensing technology has become the cornerstone for a multitude of applications, and its significance is only set to increase in areas like the Internet of Things (IoT), and the synergy of pattern recognition with artificial intelligence (AI).

This course offers a deep dive into the core theories and algorithms essential to signal processing, coupled with hands-on practical skills and strategies tailored for industrial application. Through practical workshop sessions, you'll gain valuable experience in real-world signal processing tasks. You will acquire two pivotal competencies, including analysing sensor data through spatial filtering and frequency-domain methods, as well as building intelligent systems that leverage advanced signal and sensor data processing techniques.

Upcoming Classes

Class 1 20 Sep 2025 to 18 Oct 2025 (Full Time)

Duration: 4 days

When:

Sep:

20(Sat), 27(Sat)

Oct:

11(Sat), 18(Sat)

Time:

9.00am - 5.00pm

Course Content

Sensory (non-text) signal processing foundations
Time-domain and frequency-domain feature extraction
Machine learning (e.g. auto-encoders) for sensory signals
Sense-making from sensory data fusion
Practical case studies and workshops

This course is part of the Artificial Intelligence and Graduate Certificate in Pattern Recognition Systems Series offered by NUS-ISS.

Key Takeaways

Recognise and articulate the requirements of intelligent sensing technology across diverse industrial applications.
Develop a comprehensive understanding of fundamental intelligent sensing theories, and critically analyse a range of signal processing models and algorithms.
Design, implement, and critically assess various intelligent sensing and sense-making techniques.

Who Should Attend

Software - Data Scientists and Software Engineers seeking to refine their ability to craft systems capable of decision-making through pattern recognition in data.
Systems Architects who require advanced knowledge in sensor signal processing to design robust and intelligent frameworks.
IT Professionals responsible for overseeing projects and products that incorporate intelligent sensing systems, ensuring they are well-equipped to manage and execute such systems.

Prerequisites

Experienced in using Jupyter Notebooks, Google Colab, and well-versed in package installation.
Participants should have intermediate skills in Python programming (e.g. Numpy, Pandas), and intermediate knowledge in machine learning (e.g. building a neural network model in Tensorflow/PyTorch) at the level of Problem Solving using Pattern Recognition.

Course Logistics

No Printed Materials: Course materials are accessed digitally. Do kindly note that no printed copies of course materials will be issued.
Device Requirements: Bring an internet-enabled device (laptop, tablet, etc) with power chargers to access and download course materials.

If you are bringing a laptop, kindly refer to the table below for the recommended tech specs:

	Minimum	Recommended
Operating Systems	• Windows 7 and above • Mac OS	Laptop running the latest version of either Windows or Mac OS
System Type	32-bit	64-bit
Memory	8 GB RAM	16+ GB RAM
Hard Drive	256 GB disk size
Others	• An internet connection – broadband wired or wireless • Installation permissions (non-company laptops) • Keyboard • Mouse/Trackpad • Display • Power adapter (laptop battery might run out)	DirectX 10 graphics card for graphics hardware acceleration

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%.

Certification

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.

Join Us

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.

Course Resources

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