● 課程說明(Course Description)
This is the first course of a two-semester sequence treating metallurgical
phenomena and their utilization in engineering materials and processes. The
contents in the first semester are mainly focused on the fundamentals of
materials
science including (1) crystal structure, (2) defects in crystals, (3) diffusion
in substitutional and interstitial solid solutions, (4) phase and phase
diagrams, and (5) plastic deformation.

● 建議先修課程(Prerequisite Courses)
Introduction to Materials Science I, Thermodynamics of Materials

● 指定用書(Text Books)
R. Abbaschian, L. Abbaschian, R.E. Reed-Hill, Physical metallurgy Principles,
4th
Edition, Cengage Learning, 2008

● 參考書籍(References)
(1) R.E. Smallman, A.H.W. Ngan, Modern Physical metallurgy, 8th Edition,
Butterworth-Heinemann/Elsevier, 2014.
(2) P. Haasen, B.L. Mordike, Physical metallurgy, 3th Edition, Cambridge
University Press, 1996.
(3) D.E. Laughlin, K. Hono (Editors), Physical metallurgy, 5th Edition,
Elsevier,
2014.
(4) D.A. Porter, K.E. Easterling, M.Y. Sherif, Phase Transformations in metals
and
Alloys, 3rd Edition, CRC Press, 2009.

● 教學方式(Teaching Method)
Lectures with PowerPoint materials and digital board writing highlight important
concepts and calculation demonstrations.

● 教學進度(Syllabus)
Introduction
Crystal Structure of metals
Defects in Crystals
Diffusion
Thermodynamics and Phase Diagrams
Deformation of metals and Dislocations

● 成績考核(Evaluation)
25% of homework + class activities,
25% of 1st midterm exam,
25% of 2nd midterm exam,
25% of final exam.

● 可連結之網頁位址 相關網頁(Personal Website)
eLearn數位學習平台(https://elearn.nthu.edu.tw/) including syllabus, lecture
notes,
homework problems, etc.

● 生成式人工智慧倫理聲明:「有條件開放,請註明如何使用生成式AI於課程產出」

基於透明與負責任的原則,本課程鼓勵學生利用AI進行協作或互學,以提升本門課產出品質。根據
本校公布之「大學教育場域AI協作、共學與素養培養指引」,本門課程採取有條件開放,以下說明
如何使用生成式AI於課程產出:

若於課堂作業或報告中使用生成式AI,學生須於課堂作業或報告中的「註腳」簡要說明如何使用生
成式AI進行議題發想、文句潤飾或結構參考等使用方式。若經查核使用卻無在作業或報告中標明,
教師、學校或相關單位有權重新針對作業或報告重新評分或不予計分。
本門課授課教材或學習資料若有引用自生成式AI,教師也將在投影片標注。
修讀本課程之學生於選課時視為同意以上倫理聲明。