Spatial Computing for AR
( 25 Modules )

Module #1
Introduction to Spatial Computing
Overview of spatial computing, its applications, and importance in AR

Module #2
AR Fundamentals
Basics of AR, types of AR, and key concepts

Module #3
Spatial Computing Stack
Overview of the spatial computing stack, components, and their interactions

Module #4
Sensor Technologies
Overview of sensor technologies used in spatial computing, such as cameras, lidars, and IMUs

Module #5
SLAM (Simultaneous Localization and Mapping)
Introduction to SLAM, its importance in spatial computing, and popular SLAM algorithms

Module #6
3D Reconstruction
Techniques for 3D reconstruction from 2D data, including structure from motion and stereo vision

Module #7
Spatial Mapping
Introduction to spatial mapping, its applications, and popular spatial mapping algorithms

Module #8
Object Recognition and Tracking
Overview of object recognition and tracking techniques, including machine learning approaches

Module #9
Spatial Analytics
Introduction to spatial analytics, its applications, and popular spatial analytics techniques

Module #10
AR Engines and SDKs
Overview of popular AR engines and SDKs, including ARKit, ARCore, and Vuforia

Module #11
Spatial Computing for AR:Use Cases
Exploration of use cases for spatial computing in AR, including retail, education, and healthcare

Module #12
Computer Vision for AR
Introduction to computer vision concepts and techniques, including edge detection and feature extraction

Module #13
Machine Learning for AR
Overview of machine learning concepts and techniques, including deep learning and neural networks

Module #14
Sensor Fusion
Introduction to sensor fusion, its importance in spatial computing, and popular sensor fusion techniques

Module #15
Spatial Computing for Indoor Navigation
Exploration of spatial computing for indoor navigation, including WiFi-based and beacon-based approaches

Module #16
Outdoor Spatial Computing
Overview of outdoor spatial computing, including GPS, GNSS, and satellite-based approaches

Module #17
AR Cloud and Persistence
Introduction to the AR cloud, persistence, and anchoring in AR experiences

Module #18
Light Fields and Volumetric Capture
Overview of light fields and volumetric capture, including their applications in AR

Module #19
Spatial Audio
Introduction to spatial audio, including 3D audio and sound propagation

Module #20
Human-Computer Interaction for AR
Overview of human-computer interaction principles and design patterns for AR experiences

Module #21
AR Performance Optimization
Best practices for optimizing AR performance, including rendering, tracking, and power management

Module #22
AR Security and Privacy
Overview of security and privacy concerns in AR, including data protection and access control

Module #23
AR Standards and Interoperability
Introduction to AR standards and interoperability, including Khronos and OpenXR

Module #24
Future of Spatial Computing and AR
Exploration of the future of spatial computing and AR, including emerging trends and innovations

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Spatial Computing for AR career

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Spatial Computing for AR ( 25 Modules )

Spatial Computing for AR
( 25 Modules )