NUS
 
ISS
 

Spatial Reasoning from Sensor Data

Overview

Reference No TGS-2020001513
Part of Graduate Certificate in Intelligent Sensing Systems
Duration 3 days
Course Time 9.00AM - 5.30PM
Enquiry Please email ask-iss@nus.edu.sg for more details

How can you transform raw sensor data into smart decisions for spatial reasoning?

Unlock the potential of spatial sensing and reasoning technology in this course, designed for professionals seeking to master the art of interpreting sensor data for a variety of cutting-edge applications. Once reserved for specialised enterprise and industrial use, such as urban planning and robotic navigation, these technologies have now expanded into a plethora of markets, including automotive, consumer goods, and industrial sectors.

This course not only lays the theoretical groundwork but also emphasises practical skills through practical workshop sessions. Participants will engage in practical activities to simulate real-world scenarios, applying spatial sensing and reasoning techniques to solve complex problems.

Upcoming Classes 

Class 1: 28 Feb to 14 Mar 2026 (Part-Time | MTech)
Duration: 3 Days
When: Feb 28, Mar 7, 14
Mode of Conduct: Face-to-Face
Time: 9:00am to 5:30pm

Register

Registration Instructions

Self-sponsored Participants

  • Register for the course by clicking on the "Register Now" button above
  • You may refer to the User Guide for Learner

Company-sponsored Participants

  • You will have to be registered for the course by someone from your company who has an account on the LifeLong Learning Portal (L³AP)
  • The person in-charge may register you for the course by:
    • Generating a corporate registration link for you to register for the course
      • After the link is generated, you must:
        1. Log in to L³AP by clicking on the "Register Now" button
        2. Click on the corporate registration link after logging in
      • If you do not follow the above instructions, you will be registered for the course as self-sponsored
    • Registering you for the course backend
      • You will still be required to log in to L³AP and complete your registration by clicking on the "Register Now" button above
  • You may refer your HR/L&D POC to the User Guide for Company

 

Who Should Attend

  • Data Scientists seeking to enhance their analytical skills in interpreting 3D sensor data for spatial reasoning tasks.
  • Product Managers responsible for initiating and overseeing projects and products that incorporate spatial reasoning technologies.
  • Solution Architects aiming to embed spatial reasoning functionalities into intelligent sensing solutions as part of their system design.
  • Robotic System Managers who leverage 3D vision technology to augment the spatial reasoning capabilities of robotic systems.



Prerequisites

  • Participants should have intermediate skills in Python programming (e.g. Numpy, Pandas), and/or OpenCV programming (e.g. able to apply filtering and transformation on the image).
  • Experienced in using Jupyter Notebooks, Google Colab and well-versed in package installation.
  • Participants must have an intermediate knowledge of computer vision at the level of Vision Systems (e.g. image processing, image classification and object detection using deep learning).



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 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 and Subsidies

.



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.



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Join Us

Register now to start your journey of mastering spatial reasoning capabilities.



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.




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