校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

基礎專利分析與技術預測

Fundamentals of Patent Analytics and Technological Forecast

學期
107-2
學分
3 學分
當期課號
5553
永久課號
ITM5224
開課單位
科技管理研究所
授課教師
蘇信寧
校區
光復
類別
選修
上課時間表
週三
2
09:00–09:50
基礎專利分析與技術預測
A701
3 節連堂
3
10:10–11:00
4
11:10–12:00

* 根據陽明交大上課時間表所列

概述

The explosion of technological development and the computerization of every aspect of knowledge activities resulted in creation of large volume of technology related data. The same phenomenon can be observed in the field of intellectual property management where the number of granted patents worldwide has been remarkably increased. Therefore, it is critical to analyze a large number of patent data to discover new insights and implications for understanding how to formulate innovation strategy by the use of patent data. The objective of the course is to help student understand how to analyze patent data and map patented technologies by using proper methodologies and tools. The obtained patent analytics and patent visualization allow the possibility of evidence-based technological management and policy making

先修科目

None

評分方式

1. Homework and Assignments: Assignments for individuals 2. Exams and Quizzes: open book exam. 3. Evaluation and Grading Policy: Presentation 30%, Mid-term 20%, Final Exam 30%, Homework 10%, Participation 10%. 4. Pedagogy and other supplementary information (websites, TAs, handouts and/or databases): Handout and Journal Paper

週次計畫
週次主題
第 1 週Course Introduction • The Purpose of the Course • The Scope of this Course • Course Rules/Homework/Exam/Scoring Method
第 2 週Introduction to Intellectual Property • Concept of Intellectual Property • Introduction to Patent/Trade Mark/Copyright • Objective of Intellectual Property Right
第 3 週Introduction to patent • Objective of Patent • Patent Specification • Patent Claim
第 4 週Patent Search • Introduction to Patent Database • USPTO patent database • Patent search strategy
第 5 週Patent Indicator • Criteria for choosing Patent Indicator • Properties of Patent Indicator • Most Frequently Used Patent Indicators
第 6 週Patent Analytics- Project Initiation • Patent search • Patent retrieval
第 7 週Patent Analytics- Fundamental Statistics • Patenting activities • Rate of Innovation
第 8 週Patent Analytics- Technological Development • Concept of technology life cycle • Technology life cycle based on patent
第 9 週Patent Analytics- Technology-function matrix • Technological classification • Function classification • Insight from technology-function matrix
第 10 週Mid-Term • In Class or Take Home Exam
第 11 週Patent Analytics- Knowledge diffusion • Backward patent citation • Forward patent citation
第 12 週Patent Analytics- Patent citation map • Social network theory • Patent citation network • Measurement of network centrality
第 13 週Patent Analytics- Collaborative R&D • Firm collaboration • International collaboration • Association rule analysis
第 14 週Patent Analytics- Product Commercialization • Product approval likelihood • Product approval speed
第 15 週Patent Analytics- Geographic Study • Inventors’ distance • Knowledge diffusion distance and speed.
第 16 週Project Presentation
第 17 週Project Presentation
第 18 週Fina exam • In Class or Take Home Exam
教科書

Academic journal papers provided in class.

Office Hours
地點
Assembly Building 1 - 712
時間
By Appointment
聯絡方式
03-5712121 #57503