Course Information

Schedules
  • 8 May 2024 (Wed) - 9 May 2024 (Thu) 9:30 AM - 5:00 PM
Registration period
29 Jan 2024 (Mon) - 7 May 2024 (Tue)
Price
HKD 4,800
(Course Fee – RTTP Approved
HK$4,800/ HK$4,320*
*Group discount for 2 or more, Membership discount: 10% discount off the original listed price
For RTTP applicants: HK$1,600# (Original price: HK$4,800)
#Maximum saving, with the final grant subjects to approval.
This course is an approved Reindustrialisation and Technology Training Programme (RTTP) with up to 2/3 course fee reimbursement upon successful applications. For details: https://rttp.vtc.edu.hk.)
Course Level
Study Mode
Duration
12 Hour(s)
Language
Cantonese, English
Location
香港九龍塘達之路78號
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Course Overview

Programme Highlights

  • A customised workshop for non-technical executives and managers to learn the latest industry technologies and tools for managing related projects
  • Comprehensive content from concepts to implementation (e.g. technologies, project management skills, securities concern, etc.)

Learning Outcomes

By taking this course, you will be able to

Learn the core technologies reshaping the industries of Facilities Management & Buildings
Learn the most emerging applications of facility management and smart building technologies
Learn the Project Management Techniques on AI, Robotics, IoT
Learn the Basic Data Analysis Concept in Smart Facilities & Buildings Management

Date

26 – 27 May 2022 (Thu & Fri)

Trainer

Alan LEE held senior management role in technology group, overseeing the corporate strategy, product development and production management for more than 14 years. With strong IT background, he possesses practical project experience on sophisticated analytics and large-scale global technology project management.

He also has rich training experience in the design and delivery of digital transformation training including AI, Big Data, Blockchain, etc.

What You’ll Learn

Course Structure

Part I – Applications & Use Cases
1. Building Information Modelling
2. Emerging Technologies
A. AI and Machine Learning Process
B. Internet of Things

C. Blockchain

3. Emerging Sensors
A. LIDAR
B. Thermal Camera

4. Facilities Management
A. Remote IoT Security
B. Lease Management

C. Robotics Patrolling & Monitoring

D. Energy Optimisation AI

E. Crowd & People Management

F. Carpark System Management

G. Asset & Inventory Tracking

H. Facility Process Tracking

5. Smart Buildings
A. AI Applications – Predictive energy usage, Preventive building maintenance
B. New Wireless & IoT Tech

6. Buildings & Estates
A. Robotics in Construction
7. Blockchain applications in Buildings & Estates
A. Blockchain in Building Project Management with IoT Sensor
B. Blockchain in Smart Contract and Payment

Part II – Project Management & Data Analysis Demo
8. Benefits, costs and limitations of smart facilities management and building technologies
9. Project Management on AI Projects
A. Data Science Process in AI
B. Data Collection & Validation

C. Data Storage of Facilities Sensor Data

D. Data Training & Analysis

E. Project Deployment

F. AI Performance Tracking

10. Project Management on Robotics
A. Introduction to Robotics Technologies
B. Commercial Use Cases of Robotics

C. Autonomous Guided Vehicles

D. Basic Technical Terminology in Procurement

E. Strength & Weakness

11. Privacy & Securities for Project
A. Privacy Concern in Data Usage in Facilities & Buildings
B. Securities Concern in applying the technologies in Facilities & Buildings

12. Basic Data Analysis after Integration
A. Business Intelligence Dashboard
B. Excel Manipulation

C. Simple Python Scripts for Post-Deployment Analysis



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