Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2025 349302 Application Programming for Mobile Devices 1 3.0 3 ★ Yi-Chao Wu ECE 16 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	349302	Application Programming for Mobile Devices	1	3.0	3	★	Yi-Chao Wu	ECE	16	0

Course Plan：

Instructor Yi-Chao Wu　Office Hours

Email alanwu@ntut.edu.tw

Last Updated 2025-09-11 09:43:10

Course Objective This course aims to to develop modern Android mobile applications. Android Studio will be the main development platform with the Java programming language to build a complete knowledge system for mobile device development. It also introduces TensorFlow Lite to import basic AI inference functions to understand how to integrate artificial intelligence modules on mobile platforms.

Course Schedule Week 1: Introduction to Course and Android Studio Week 2: Java Programming I Week 3: Java Programming II Week 4: Basic Interface and Message Display Components Week 5: CheckBox, RadioButton, and Spinner Week 6: ImageView Week 7: ListView Week 8: Option Menu Week 9: Miderm Exam Week 10: Intent Week 11: Files Week 12: Paper Presentation Week 13: MediaPlayer Week 14: Database Week 15: Google API Week 16: Examples Practices I - Android Studio with AI Week 17: Final Project Demo Week 18: Final Project Demo

Evaluation and grading policy 1. Attendance: 10% 2. Homework (Include Quiz and In-Class Assignment): 25% 3. Paper Presentation: 10% 4. Miderm Exam: 20% 5. Final Project: 35%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. Self-Compiled Teaching Material 2. Paul J. Deitel, Harvey M. Deitel, Abbey Deitel, and Michael Morgano, "Android for Programmers: An App-Driven Approach", Prentice Hall. ISBN: 9780132121361.

The access to curricular consultation Email: alanwu@ntut.edu.tw

The course corresponds to the SDGs SDG1：消除貧窮（No Poverty）
SDG2：消除飢餓（Zero Hunger）
SDG4：優質教育（Quality Education）
SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

Note
The course progress will be fine-tuned according to the actual class situation.
The examination will include project proposal and final project demo.

Instructor	Yi-Chao Wu　Office Hours
Email	alanwu@ntut.edu.tw
Last Updated	2025-09-11 09:43:10
Course Objective	This course aims to to develop modern Android mobile applications. Android Studio will be the main development platform with the Java programming language to build a complete knowledge system for mobile device development. It also introduces TensorFlow Lite to import basic AI inference functions to understand how to integrate artificial intelligence modules on mobile platforms.
Course Schedule	Week 1: Introduction to Course and Android Studio Week 2: Java Programming I Week 3: Java Programming II Week 4: Basic Interface and Message Display Components Week 5: CheckBox, RadioButton, and Spinner Week 6: ImageView Week 7: ListView Week 8: Option Menu Week 9: Miderm Exam Week 10: Intent Week 11: Files Week 12: Paper Presentation Week 13: MediaPlayer Week 14: Database Week 15: Google API Week 16: Examples Practices I - Android Studio with AI Week 17: Final Project Demo Week 18: Final Project Demo
Evaluation and grading policy	1. Attendance: 10% 2. Homework (Include Quiz and In-Class Assignment): 25% 3. Paper Presentation: 10% 4. Miderm Exam: 20% 5. Final Project: 35%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Self-Compiled Teaching Material 2. Paul J. Deitel, Harvey M. Deitel, Abbey Deitel, and Michael Morgano, "Android for Programmers: An App-Driven Approach", Prentice Hall. ISBN: 9780132121361.
The access to curricular consultation	Email: alanwu@ntut.edu.tw
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG2：消除飢餓（Zero Hunger） SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note	The course progress will be fine-tuned according to the actual class situation. The examination will include project proposal and final project demo.