Course Syllabus

Course Information：

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

Spring Semester
Year 2025 345159 Data-Driven Interdisciplinary Design Research Project 1 4.0 4 ★ Ching-I Chen GID 10 0 上限9人

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	345159	Data-Driven Interdisciplinary Design Research Project	1	4.0	4	★	Ching-I Chen	GID	10	0	上限9人

Course Plan：

Instructor Ching-I Chen　Office Hours

Email cic@ntut.edu.tw

Last Updated 2024-12-17 10:14:33

Course Objective "Data-Driven Interdisciplinary Design Research Project" is an advanced design course that combines academic research and practical experience. This course takes data-driven design as its core, emphasizing the combination of data analysis and design practice, aiming to improve students' cross-field thinking abilities and practical problem-solving abilities. Through close collaboration with graduate students, students will have the opportunity to explore how to apply data-driven strategies to design practice from different perspectives, thereby achieving innovative and practical design solutions. The course will cover multiple modules such as data analysis, user needs research, design verification and experimentation, and emphasize application in the real world. Ultimately, students will complete a design research project with academic value and practical application potential, laying a solid foundation for future professional development or further academic research. 「數據驅動跨域設計專題研究」是一門結合學術研究與實務經驗的高階設計課程。本課程以數據驅動設計為核心，強調將數據分析與設計實踐相結合，旨在提升學生的跨領域思考能力與解決問題的實踐能力。透過研究生的密切合作，學生將有機會從不同視角出發，探索如何將數據驅動策略應用於設計實務中，進而達成具創新性與實用性的設計解決方案。課程將涵蓋數據分析、使用者需求研究、設計驗證與實驗等多個模組，並強調在真實世界中的應用。最終，學生將完成一個具備學術價值與實際應用潛力的設計專題研究，為未來的專業發展或進一步學術研究打下堅實基礎。

Course Schedule Week 01: Course Introduction Week 02: Turning data into insights: Data analysis and dimensions of data analysis in daily life Week 03: Data Ecosystems: How Data Can Inform Better Decisions Week 04: Data Analysis Skills Week 05: Analytical thinking and using data to drive successful outcomes Week 06: The life cycle of data Week 07: Six stages of data analysis Week 08: Data Analysis Process Week 09: Midterm exam Week 10: Data analysis tools Week 11: Master spreadsheet basics Week 12: Structured Query Language Week 13: Data Visualization Week 14: Design Studio I Week 15: Design Studio II Week 16: Design Studio III Week 17: Design Studio IV Week 18: Final presentation

Evaluation and grading policy Class assignment: 50% Final assignment: 45% Attendance: 5%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Use of self-made materials

The access to curricular consultation cic@mail.ntut.edu.tw

The course corresponds to the SDGs SDG4：優質教育（Quality Education）

Does the course incorporate AI

Note
　

Instructor	Ching-I Chen　Office Hours
Email	cic@ntut.edu.tw
Last Updated	2024-12-17 10:14:33
Course Objective	"Data-Driven Interdisciplinary Design Research Project" is an advanced design course that combines academic research and practical experience. This course takes data-driven design as its core, emphasizing the combination of data analysis and design practice, aiming to improve students' cross-field thinking abilities and practical problem-solving abilities. Through close collaboration with graduate students, students will have the opportunity to explore how to apply data-driven strategies to design practice from different perspectives, thereby achieving innovative and practical design solutions. The course will cover multiple modules such as data analysis, user needs research, design verification and experimentation, and emphasize application in the real world. Ultimately, students will complete a design research project with academic value and practical application potential, laying a solid foundation for future professional development or further academic research. 「數據驅動跨域設計專題研究」是一門結合學術研究與實務經驗的高階設計課程。本課程以數據驅動設計為核心，強調將數據分析與設計實踐相結合，旨在提升學生的跨領域思考能力與解決問題的實踐能力。透過研究生的密切合作，學生將有機會從不同視角出發，探索如何將數據驅動策略應用於設計實務中，進而達成具創新性與實用性的設計解決方案。課程將涵蓋數據分析、使用者需求研究、設計驗證與實驗等多個模組，並強調在真實世界中的應用。最終，學生將完成一個具備學術價值與實際應用潛力的設計專題研究，為未來的專業發展或進一步學術研究打下堅實基礎。
Course Schedule	Week 01: Course Introduction Week 02: Turning data into insights: Data analysis and dimensions of data analysis in daily life Week 03: Data Ecosystems: How Data Can Inform Better Decisions Week 04: Data Analysis Skills Week 05: Analytical thinking and using data to drive successful outcomes Week 06: The life cycle of data Week 07: Six stages of data analysis Week 08: Data Analysis Process Week 09: Midterm exam Week 10: Data analysis tools Week 11: Master spreadsheet basics Week 12: Structured Query Language Week 13: Data Visualization Week 14: Design Studio I Week 15: Design Studio II Week 16: Design Studio III Week 17: Design Studio IV Week 18: Final presentation
Evaluation and grading policy	Class assignment: 50% Final assignment: 45% Attendance: 5%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Use of self-made materials
The access to curricular consultation	cic@mail.ntut.edu.tw
The course corresponds to the SDGs	SDG4：優質教育（Quality Education）
Does the course incorporate AI
Note