Advanced App Development in Android Capstone
Master advanced Android development through hands-on projects in graphics, VR, and interactive 3D applications.
Master advanced Android development through hands-on projects in graphics, VR, and interactive 3D applications.
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.
Instructors:
English
Tiếng Việt
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What you'll learn
Build virtual galleries using Android Canvas drawing functions
Develop 3D graphics applications with OpenGL ES
Create interactive VR experiences with sensor controls
Implement advanced graphics features like lighting and textures
Skills you'll gain
This course includes:
2.2 Hours PreRecorded video
5 quizzes, 4 peer-reviewed assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This capstone project enables students to build advanced Android applications focusing on graphics and virtual reality. The curriculum covers four main areas: 2D graphics with Android Canvas, 3D graphics using OpenGL ES, interactive VR environments with sensor controls, and a final creative project combining all learned techniques. Students develop a virtual art gallery application that progressively incorporates more advanced features through each module.
Building your Virtual Gallery with Android Canvas Draw Functions
Module 1 · 5 Hours to complete
Improving your Virtual Art Gallery with OpenGL ES
Module 2 · 4 Hours to complete
Making your Virtual Art Gallery Interactive and Immersive
Module 3 · 7 Hours to complete
Creating your own VR Gallery
Module 4 · 7 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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Frequently asked questions
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