Program Overview

Overview of University Programs

The university offers a range of programs designed to build capabilities in infocomm and digital business. These programs are categorized into several disciplines, including:

• Artificial Intelligence
• Cybersecurity
• Data Science
• Digital Agility
• Digital Innovation & Design
• Digital Strategy & Leadership
• Digital Products & Platforms
• Digital Sustainability
• Digital Health
• Software Systems
• StackUp - Startup Tech Talent Development

Graduate Programs

The university offers five practice-based graduate programs focusing on information technology (IT) and data science. These programs include:

• Graduate Diploma in Systems Analysis
• Master of Technology in Artificial Intelligence Systems
• Master of Technology in Digital Leadership
• Master of Technology in Enterprise Business Analytics
• Master of Technology in Software Engineering

Stackable Programs

The university offers stackable programs as an alternative pathway to continuing education without disrupting one's career. These programs include:

• Graduate Certificates:
  • Data Science
  • Digital Solutions Development
  • Artificial Intelligence
  • Smart Systems & Platforms
• Professional Certificates:
  • Digital Leadership
  • Health Service Innovation
• Professional Diploma:
  • Health Service Transformation

Blended Learning Programs

The Blended Learning Programs provide individuals with the flexibility to learn over their own time and pace while achieving their academic and career goals. These programs include:

• About
• Programmes
• Digitalisation Passport

Corporate Programs

The university works with organizations to provide contextualized workplace training or customized learning experiences for their employees. These programs include:

• Corporate Digitalisation
• Active Learning for Problem Solving
• International Programmes
• Digital Academy Services
• Internship & Job Placements
• Skills For Transformation Programme

Course Details: Spatial Reasoning from Sensor Data

Overview

This course is designed for professionals seeking to master the art of interpreting sensor data for spatial reasoning tasks. The course lays the theoretical groundwork and emphasizes practical skills through workshop sessions.

Who Should Attend

The course is suitable for:

• Data Scientists
• Product Managers
• Solution Architects
• Robotic System Managers

Prerequisites

Participants should have:

• Intermediate skills in Python programming
• Experience with Jupyter Notebooks and Google Colab
• Intermediate knowledge of computer vision

Course Logistics

• No printed materials will be issued
• Participants must bring an internet-enabled device with power chargers
• Recommended tech specs for laptops are provided

Certificate

A Certificate of Completion will be issued to participants who meet the minimum attendance rate of 75% and pass the assessment.

Instructors

The course is taught by:

• Dr. TIAN Jing
• Dr. Xavier XIE

Training Roadmap

The course is part of the training roadmap for Artificial Intelligence.