Course Syllabus

Course Information：

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

Spring Semester
Year 2026 357238 Patent Search and Patent Map 1 2.0 2 ★ Mingliang Lai GIP 5 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	357238	Patent Search and Patent Map	1	2.0	2	★	Mingliang Lai	GIP	5	0

Course Plan：

Instructor Mingliang Lai　Office Hours

Email mingliang1976@gmail.com

Last Updated 2025-12-15 14:51:07

Course Objective The concepts of patent search and patent map will be introduced in this course. The topics of the course includes: 1. Why it is important to do patent search. 2. How to find a related prior art efficiently, 3. How to construct a patent map and exploit related information.

Course Schedule Week1 Introduction Week2 Patent system Week3 Patent literature Week4 Patent classification system, example: IPC (International patent system) Week5 Patent search strategy Week6 Using online database or tools to do patent search Week7 Practice of patent search 1 Week8 Practice of patent search 2 Week9 Midterm report Week10 Keyword search: 1 Week11 Keyword search:2 Week12 Analysis of patent map information Week13 Conducting a patent map Week14 Case study: 1 Week15 Case study: 2 Week16 Case study: 3 Week17 Course review Week18 Final report

Evaluation and grading policy Rating and score： (1) attendance and discussions in class 40% (2) midterm report 30% (3) Final report 30%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Reference book: Patent Searching Made Easy: How to do Patent Searches Online and in the Library. David Hitchcock.

The access to curricular consultation Welcome to discuss the class with the teacher by email.
Email: mllai@mail.ntut.edu.tw

The course corresponds to the SDGs SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
SDG16：和平正義與有力的制度（Peace, Justice and Strong Institutions）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
This course is taught in English.
This course will be related to the SDGs index:
8. Decent work and economic growth
16. Peace, justice and strong institutions

Instructor	Mingliang Lai　Office Hours
Email	mingliang1976@gmail.com
Last Updated	2025-12-15 14:51:07
Course Objective	The concepts of patent search and patent map will be introduced in this course. The topics of the course includes: 1. Why it is important to do patent search. 2. How to find a related prior art efficiently, 3. How to construct a patent map and exploit related information.
Course Schedule	Week1 Introduction Week2 Patent system Week3 Patent literature Week4 Patent classification system, example: IPC (International patent system) Week5 Patent search strategy Week6 Using online database or tools to do patent search Week7 Practice of patent search 1 Week8 Practice of patent search 2 Week9 Midterm report Week10 Keyword search: 1 Week11 Keyword search:2 Week12 Analysis of patent map information Week13 Conducting a patent map Week14 Case study: 1 Week15 Case study: 2 Week16 Case study: 3 Week17 Course review Week18 Final report
Evaluation and grading policy	Rating and score： (1) attendance and discussions in class 40% (2) midterm report 30% (3) Final report 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Reference book: Patent Searching Made Easy: How to do Patent Searches Online and in the Library. David Hitchcock.
The access to curricular consultation	Welcome to discuss the class with the teacher by email. Email: mllai@mail.ntut.edu.tw
The course corresponds to the SDGs	SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG16：和平正義與有力的制度（Peace, Justice and Strong Institutions）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	This course is taught in English. This course will be related to the SDGs index: 8. Decent work and economic growth 16. Peace, justice and strong institutions