查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-1 349093 材料科學導論 1 3.0 3 ★ 李紹先工程一 50 0 (選材資系必修;餘3系選修)

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-1	349093	材料科學導論	1	3.0	3	★	李紹先	工程一	50	0	(選材資系必修;餘3系選修)

教學大綱與進度：

教師姓名李紹先　教師諮商時間(Office Hours)

Email ssli@ntut.edu.tw

最後更新時間 2025-06-03 18:15:12

課程大綱 This course introduces fundamental concepts in Materials Science & Engineering. You will learn about the material structure, how structure dictates properties and how processing can change the structures.

課程進度 Week 1 course introduction. week 2 Introduction to Materials Science and Engineering (Chapter 1) week 3 Atomic Structure and Interatomic Bonding (Chapter 2) week 4 Atomic Structure and Interatomic Bonding / Fundamentals of Crystallography (Chapter 3) week 5 Fundamentals of Crystallography (Chapter 3) week 6 The Structure of Crystalline Solids (Chapter 4) week 7 The Structure of Crystalline Solids (Chapter 4) week 8 Imperfections in Solids (Chapter 6) week 9 mid-term week 10 Imperfections in Solids (Chapter 6) / Diffusion (Chapter 7) week 11 Diffusion (Chapter 7) week 12 Diffusion (Chapter 7) / Mechanical Properties of Metals (Chapter 8) week 13 Mechanical Properties of Metals (Chapter 8) week 14 Mechanical Properties of Metals (Chapter 8) week 15 Dislocations and Strengthening Mechanism (Chapter 9) week 16 Dislocations and Strengthening Mechanism (Chapter 9) week 17 Dislocations and Strengthening Mechanism (Chapter 9) / Failure (Chapter 10) week 18 final exam

評量方式與標準 mid-term 40%，final exam 50%，presence and homework 10%。

使用教材、參考書目或其他 【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：是
Materials Science and Engineering Tenth Edition WILLIAM D.CALLISTER, JR. and DAVID G. RETHWISCH

課程諮詢管道 email: ssli@ntut.edu.tw
office: Building of Materials Engineering, R403.

課程對應SDGs指標 SDG4：優質教育（Quality Education）
SDG7：可負擔的潔淨能源（Affordable and Clean Energy）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG10：減少不平等（Reduced Inequalities）
SDG11：永續城市與社區（Sustainable Cities and Communities）
SDG12：負責任的消費與生產（Responsible Consumption and Production）

課程是否導入AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

備註
the virtual class will be on Microsoft Teams

教師姓名	李紹先　教師諮商時間(Office Hours)
Email	ssli@ntut.edu.tw
最後更新時間	2025-06-03 18:15:12
課程大綱	This course introduces fundamental concepts in Materials Science & Engineering. You will learn about the material structure, how structure dictates properties and how processing can change the structures.
課程進度	Week 1 course introduction. week 2 Introduction to Materials Science and Engineering (Chapter 1) week 3 Atomic Structure and Interatomic Bonding (Chapter 2) week 4 Atomic Structure and Interatomic Bonding / Fundamentals of Crystallography (Chapter 3) week 5 Fundamentals of Crystallography (Chapter 3) week 6 The Structure of Crystalline Solids (Chapter 4) week 7 The Structure of Crystalline Solids (Chapter 4) week 8 Imperfections in Solids (Chapter 6) week 9 mid-term week 10 Imperfections in Solids (Chapter 6) / Diffusion (Chapter 7) week 11 Diffusion (Chapter 7) week 12 Diffusion (Chapter 7) / Mechanical Properties of Metals (Chapter 8) week 13 Mechanical Properties of Metals (Chapter 8) week 14 Mechanical Properties of Metals (Chapter 8) week 15 Dislocations and Strengthening Mechanism (Chapter 9) week 16 Dislocations and Strengthening Mechanism (Chapter 9) week 17 Dislocations and Strengthening Mechanism (Chapter 9) / Failure (Chapter 10) week 18 final exam
評量方式與標準	mid-term 40%，final exam 50%，presence and homework 10%。
使用教材、參考書目或其他	【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：是 Materials Science and Engineering Tenth Edition WILLIAM D.CALLISTER, JR. and DAVID G. RETHWISCH
課程諮詢管道	email: ssli@ntut.edu.tw office: Building of Materials Engineering, R403.
課程對應SDGs指標	SDG4：優質教育（Quality Education） SDG7：可負擔的潔淨能源（Affordable and Clean Energy） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG10：減少不平等（Reduced Inequalities） SDG11：永續城市與社區（Sustainable Cities and Communities） SDG12：負責任的消費與生產（Responsible Consumption and Production）
課程是否導入AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
備註	the virtual class will be on Microsoft Teams