一、 課程說明(Course Description)
Physical Chemistry I is a class focusing on gaining understandings toward chemical thermodynamics topics such as work, heat, internal energy, heat capacity, enthalpy, entropy, free energy, Helmholtz free energy, Gibbs free energy, Maxwell relations, chemical potential…etc. In this class, we will focus on (but not limited to) the following topics:

1. The properties of gases
2. The first law of thermodynamics
3. The second law of thermodynamics
4. Physical transformations of pure substances
5. Simple mixture
6. Phase diagrams
7. Chemical equilibrium

After this class, you should be able to use the methods of equilibrium thermodynamics to describe the properties and processes of macroscopic systems.

二、指定用書(Text Books)
Physical Chemistry, Atkins 10th

三、參考書籍(References)
Zemanksy, Mark, and Richard Dittman. Heat and Thermodynamics. 7th ed. McGraw-Hill Publishers.
Callen, Herbert B. Thermodynamics and an Introduction to Thermostatistics. Wiley.

四、教學方式(Teaching Method)
Lectures

五、教學進度(Syllabus)
Chapter 1 to Chapter7

六、成績考核(Evaluation)
Library Assignment 5%
Midterm I 30%
Midterm II 30%
Final 35%

七、 AI 使用規則:有條件開放

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,說明如下

學生須於課堂作業或報告中的「標題頁註腳」或「引用文獻後」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,教師也將在投影片或口頭標注。
修讀本課程之學生於選課時視為同意以上倫理聲明。

based on the principles of transparency and responsibility, this course encourages students to leverage AI to collaborate and mutually learn to enhance the quality of homework and essays. In accordance with the published Guidelines for Collaboration, Co-learning, and Cultivation of Artificial Intelligence Competencies at National Tsing Hua University, this course adopts the following policy: Conditionally open

Students must briefly explain how generative AI was used for the inspiration of topic, sentence refinement, or structural reference in the footnotes of the title page or after the reference in their assignments or reports. If usage is discovered without proper disclosure, instructors, the institution, or relevant units have the right to reevaluate the assignment or report or withhold scores. When the course materials or learning resources have been derived from generative AI, the instructor will also indicate this in the slides or orally. Students are presumed to consent to the above ethics statement by enrolling in this course.