Advanced App Development in Android Capstone

  • 0.0
Approx. 25 hours to complete

Course Summary

The AADA Capstone project is the final course in the Applied Data Analytics with a Decision Focus Specialization. It is designed to give students the opportunity to apply the skills they've learned throughout the specialization to real-world data analytics projects.

Key Learning Points

  • Apply data analytics techniques to real-world problems
  • Develop a data-driven decision-making approach
  • Create data visualizations to communicate insights effectively

Job Positions & Salaries of people who have taken this course might have

    • USA: $62,453
    • India: ₹506,104
    • Spain: €31,001
    • USA: $62,453
    • India: ₹506,104
    • Spain: €31,001

    • USA: $71,825
    • India: ₹1,035,078
    • Spain: €34,001
    • USA: $62,453
    • India: ₹506,104
    • Spain: €31,001

    • USA: $71,825
    • India: ₹1,035,078
    • Spain: €34,001

    • USA: $113,309
    • India: ₹1,306,154
    • Spain: €45,001

Related Topics for further study


Learning Outcomes

  • Ability to apply data analytics techniques to real-world problems
  • Understanding of how to develop a data-driven decision-making approach
  • Proficiency in creating effective data visualizations

Prerequisites or good to have knowledge before taking this course

  • Completion of the Applied Data Analytics with a Decision Focus Specialization
  • Experience with data analytics tools and techniques

Course Difficulty Level

Advanced

Course Format

  • Online
  • Self-paced

Similar Courses

  • Data Science Capstone
  • Applied Data Science Capstone

Related Education Paths


Related Books

Description

This capstone project has been designed as an opportunity to practice what you have learned in the first 3 courses of this specialisation. This capstone project consists of 4 assignments. You will have to develop an immersive Android app with the use 3D graphics, sensor control and VR. For the first assignment, you will have to develop a virtual art gallery using the Android Canvas drawing functions introduced in Course 1 "Introduction to Android graphics". The second assignment entails the design and development of a virtual 3D art gallery based on OpenGL ES applying the knowledge and skills acquired in Course 2 "Android Graphics with OpenGL ES". For the third assignment you will create a virtual reality app with your 3D art gallery, using advanced techniques like introducing sensor control, animations, binocular view for VR, lighting effects and texture mapping, based on the knowledge and skills you learned in Course 3 "3D Graphics in Android: Sensors and VR". For the final submission of the capstone project we give you the avenue to combine your creativity with all the knowledge and skills you gained in Android graphics programming from the three first courses. This capstone is intended for learners with basic knowledge in Android app development seeking to develop knowledge in computer graphics and virtual reality in Android. The learners should have completed the 3 courses in this specialisation (i.e. Course 1 "Introduction to Android graphics", Course 2 "Android Graphics with OpenGL ES", and Course 3 "3D Graphics in Android: Sensors and VR") before starting this capstone project.

Outline

  • Building your Virtual Gallery with Android Canvas Draw Functions
  • Introduction to Advanced App Development in Android Capstone
  • About Imperial College & the team
  • How to be successful in this course
  • Grading policy
  • Guidelines for Assignment 1
  • Android Canvas Draw functions - Cheat sheet
  • Are you ready for Assignment 1 of the capstone project?
  • Android Canvas Draw functions
  • Improving your Virtual Art Gallery with OpenGL ES
  • Introduction - Improving your virtual art gallery with OpenGL ES
  • Guidelines for Assignment 2
  • OpenGL ES - Cheat sheet
  • Are you ready for Assignment 2 of the capstone project?
  • Making your Virtual Art Gallery Interactive and Immersive
  • Introduction - Making your virtual art gallery interactive and immersive
  • Guidelines for Assignment 3 - Part I
  • Guidelines for Assignment 3 - Part II
  • Lighting effects, texture mapping and frame buffer - Cheat sheet
  • Are you ready for Assignment 3 of the capstone project?
  • Creating your own VR Gallery
  • Introduction - Making your VR gallery more realistic
  • Wrap up
  • Read 3D files - STL files
  • Read 3D files - OBJ files
  • Read 3D files - OBJ files with MTL
  • Guidelines for Assignment 4
  • Are you ready for Assignment 4 of the capstone project?

Summary of User Reviews

Key Aspect Users Liked About This Course

The course offers practical, hands-on experience in the field of data analysis and helps learners to develop essential skills that are in high demand in the job market.

Pros from User Reviews

  • Great practical experience for beginners
  • Highly engaging and interactive course content
  • Clear and concise explanations of complex concepts
  • Helpful feedback and support from instructors
  • Good preparation for real-life data analysis projects

Cons from User Reviews

  • Some users found the course content to be overwhelming at times
  • The course pace may be too slow for more advanced learners
  • The course requires a significant time commitment
  • Some users experienced technical issues with the platform
  • The course may not cover all aspects of data analysis
English
Available now
Approx. 25 hours to complete
Benny Lo
Imperial College London
Coursera

Instructor

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