智慧專利分析

臺北科技大學 115-1 學期課程，課號 366985。

課程大綱

Course Description: This course offers an in-depth exploration into patent analytics. Participants will traverse topics such as research methodologies specific to patents, foundational aspects of patent law, the pivotal role of semiconductors in patenting, keyword-centric patent searches complemented by pertinent case studies, the integration of linguistics and logic in understanding patents, the practical applications of ChatGPT, and the utility of Natural Language Processing in patent data analysis. Course Topics: 1. Research Methodology in Patent Analytics: • Overview of innovation trends • Analyzing McKinsey and Gartner reports for patent insights 2. Basics of Patent Law: • Intellectual Property: Understanding the Basics • What makes an invention patentable? • Constructing and analyzing a patent claim • Understanding patent structures • The thin line between innovation and non-obviousness • Crafting an effective patent strategy 3. Semiconductors and Their Importance in Patenting: • Introduction to semiconductor processes, manufacturing, and devices • Deep dive into VLSI design, IP, MCU, CPU, GPU, firmware, OS, and software • A look at solid-state devices • Advanced Process Technologies (Refer to Advanced-Process-Technologies.pdf for detailed insights) 4. Keyword-driven Patent Search & Case Studies: • Patent cases on advanced devices: Planar FET, FinFET, GAA • Patent cases involving AI methodologies 5. Language, Logic, and Meaning in Patent Analysis: • Introduction to linguistics in patent analysis (Reference: https://chowkafat.net/Lingtopic.html) • Basics of semantics and its importance in patent comprehension • Deep dive into formal semantics and generalized quantifier theory • Deciphering the logical form and structure in patents • Introduction to propositional logic and its application in patent analysis • Unraveling predicate logic in patent contexts 6. Practical Applications using ChatGPT: • Using ChatGPT for instructional language and problem-solving in patent analytics • Case study: Constructing a GAA using ChatGPT • ChatGPT in research methodologies and patent search 7. Natural Language Processing (NLP) in Patent Analysis: • Understanding word embedding and word vectors • Techniques for determining similarity in patent documents using NLP

課程進度

W1 Research Methodology in Patent Analytics W2,3 Basics of Patent Law W4 Semiconductors and Their Importance in Patenting W5 Keyword-driven Patent Search & Case Studies W6 Language, Logic, and Meaning in Patent Analysis W7 Practical Applications using ChatGPT W8,9 Natural Language Processing (NLP) in Patent Analysis

評量方式

1. Homework assignments - 40% 2. Mid-term project 30% 3. Final proejct 30%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：否 • https://twpat.tipo.gov.tw/ • https://patents.google.com/ • Python Data Science Handbook by Jake VanderPlas, O'Reilly Media, Inc. (ebook available on https://jakevdp.github.io/PythonDataScienceHandbook/ ) • Data science from scratch by Joel Grus, O’Reilly Media, Inc., 2019 ISBN: 9781492041139 • Natural Language Processing Specialization https://github.com/amanjeetsahu/Natural-Language-Processing-Specialization