Introduction to Android graphics
Master 2D and 3D graphics programming in Android, from basic canvas drawing to advanced transformations and OpenGL ES fundamentals.
Master 2D and 3D graphics programming in Android, from basic canvas drawing to advanced transformations and OpenGL ES fundamentals.
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.
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English
Tiếng Việt
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What you'll learn
Implement 2D graphics using Android Canvas
Master affine transformations in 2D and 3D space
Understand and apply quaternions for 3D rotations
Create interactive animations and visualizations
Develop a complete 3D graphics application
Skills you'll gain
This course includes:
0.83 Hours PreRecorded video
11 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course covers both 2D and 3D graphics programming in Android. Starting with fundamental 2D graphics concepts using Canvas, students progress to advanced topics including affine transformations, viewing projections, and quaternions. The curriculum includes practical implementations through hands-on examples and culminates in a final project creating a 3D dancing robot. The course provides essential foundations for advanced graphics applications including OpenGL ES and Virtual Reality development.
2D Graphics
Module 1 · 5 Hours to complete
3D Graphics
Module 2 · 4 Hours to complete
Implementing 2D and 3D Graphics in Android
Module 3 · 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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63 ratings
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