DigiLAB: for High school level students
This course will take you through the exciting world of digital twins, adapted specifically for your level. You’ll learn how to create and use digital replicas of real-world objects and systems, helping you understand how they work and how to improve them. Whether you’re new to these ideas or already have some experience, this course will teach you the skills you need to bring the physical and digital worlds together. From coding and design to practical projects, you’ll gain hands-on experience that will prepare you for the future of technology
Curriculum
- 5 Sections
- 63 Lessons
- 2 Quizzes
- 0m Duration
0. Intro to Digital Twins
11 Lessons
- 1. Learning outcome
- 2. Introducing Digital twin
- 2.1. On digital twins
- 2.2. Digital twin benefits
- 2.3. Computer tools
- 3. Digital twin aspects covered in Digilab/BE
- 3.1. Building digital twin
- 3.2. Dynamic updating
- 3.3. VR/AR
- 3.4. Smartization
- 4. Summary
1. Data capture and modelling
20 Lessons2 Quizzes
- 1. Learning outcome
- 2. Planning
- 2.1. Assessment of existing conditions
- 2.2. Determine objectives and qualities
- 2.3. Major levels of digital twins
- 3. Data Capture
- 3.1. Introduction
- 3.2. Photogrammetry
- 3.3. Laser scanning
- 3.3.1. Exercise A3.1 Laser scanner simulation
- 3.4 QUIZ
- 4. Modelling
- 4.1. Intro: Software
- 4.2. Import point cloud
- 4.3. Building modelling
- 4.4. Model enrichment
- 5. Dataflow
- 5.1. Formats
- 5.2. Coordinate System
- 5.3. Export
- 5.4. QUIZ
- 6. Summary
2. Sensors and IoT platforms
17 Lessons
- 1. Learning outcome
- 2. Sensorization Planning
- 2.1. Basic principles of sensors
- 2.2. Types of sensors
- 2.3. How to select suitable sensors for each application
- 3. Programming sensors
- 3.1. Programming platforms: Arduino IDE
- 3.2. Basic principles of programming: Arduino
- 3.3. How to program sensors to capture relevant data
- 3.4. PRACTICAL EXERCISE
- 3.5. Programming software used (for beginners)
- 4. IoT platforms
- 4.1 Intro
- 4.2 Understanding APIs
- 4.3 Thingspeak
- 4.4 Arduino Cloud
- 5. Summary
3. VR/XR/AR
11 Lessons
- 1. Learning outcome
- 2 Introduction to VR AR XR
- 3. Software Tools
- 3.1 Game Engines
- 3.2 BIM model software
- 3.3. Cloud point software
- 3.4. 3D optimization
- 3.5 VR software
- 4 Preparing models
- 5 VR/AR
- 6. Summary
4. Smartization
4 Lessons
- 1. Introduction
- 1.1. Smartization
- 1.2. Smartization and data visualization with Power BI
- 1.3. Accessing sensor data via ThingSpeak website
