Android Graphics with OpenGL ES
Master OpenGL ES for Android development, from pipeline basics to complex 3D object rendering. Perfect for mobile graphics programming.
Master OpenGL ES for Android development, from pipeline basics to complex 3D object rendering. Perfect for mobile graphics programming.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Advanced App Development in Android Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.3
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English
Tiếng Việt
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What you'll learn
Understand and implement the OpenGL graphics pipeline
Master OpenGL Shading Language for mobile applications
Create and render 2D and 3D objects using OpenGL ES
Optimize graphics performance with index buffers
Develop complex 3D shapes and logos
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers OpenGL ES implementation in Android applications. Students learn the fundamentals of the OpenGL pipeline, shading language, and practical applications for 2D and 3D graphics rendering. The curriculum progresses from basic primitive types to complex 3D object creation, including spheres and arbitrary shapes. The course culminates in a practical project creating 3D logos, preparing students for advanced graphics applications in VR and AR.
Fundamentals of OpenGL in Android
Module 1 · 3 Hours to complete
2D and 3D Objects
Module 2 · 5 Hours to complete
Complex 3D objects
Module 3 · 5 Hours to complete
Creating a 3D Logo in OpenGL ES
Module 4 · 10 Hours to complete
Fee Structure
Instructor
Dr. Benny Lo: Innovator in Wearable Biomedical Sensors, AI, and Body Sensor Networks
Dr. Benny Lo holds a BASc in Electrical Engineering from the University of British Columbia, an MSc in Computer Vision from King's College London, and a PhD in Computing from Imperial College London. He is a Senior Lecturer at the Hamlyn Centre for Robotic Surgery at Imperial College London and chairs the IEEE EMB Technical Committee on Wearable Biomedical Sensors and Systems. With a focus on body sensor networks, AI, and biomedical engineering, he has published over 200 research articles and earned multiple awards for his innovative work, including Bluetooth Innovator of the Year.
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4.3 course rating
12 ratings
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