Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2025 340246 Unit Operations and Transport Phenomena (3) 1 3.0 3 ▲ Lee, Ming-Tsung 4CEB3C 45 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	340246	Unit Operations and Transport Phenomena (3)	1	3.0	3	▲	Lee, Ming-Tsung	4CEB3C	45	0

Course Plan：

Instructor Lee, Ming-Tsung　Office Hours

Email mtlee@ntut.edu.tw

Last Updated 2025-06-19 20:45:00

Course Objective This course provides an in-depth exploration of mass transfer and its applications in unit operations, drawing heavily from the foundational concepts and methodologies presented in Cussler's Diffusion: Mass Transfer in Fluid Systems. Students will gain a thorough understanding of diffusion, convective mass transfer, and interfacial phenomena, as well as the design and analysis of mass transfer equipment such as distillation columns, absorbers, and membrane systems. Emphasis will be placed on practical problem-solving and the integration of theoretical principles with engineering applications in chemical and biochemical processes. This course is designed to bridge the gap between theory and practice, preparing students for advanced study or professional roles in industries requiring expertise in mass transfer and related operations.

Course Schedule Index | Topics | Week # Part 1. Transport Phenomenon 1. Course Intro (week 1) 2. Models to analyze mass transfer (week 2) 3. Diffusion model (week 3, 4, 5) 4. Mass transfer model (week 7 8) Part 2. Unit Operation 5. Absorption (week 10 11) 6. Differential distillation (week 12 13) 7. Stage distillation (week 14 15) 8. Course project (week 16-18)

Evaluation and grading policy Course participation: 40% Quizzes (x4): 40% Project: 10% Extra Points: 10%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Diffusion, Mass Transfer in Fluid Systems, 3rd Edition, by E.L. Cussler

The access to curricular consultation email / Zuvio

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI AI1：使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
　

Instructor	Lee, Ming-Tsung　Office Hours
Email	mtlee@ntut.edu.tw
Last Updated	2025-06-19 20:45:00
Course Objective	This course provides an in-depth exploration of mass transfer and its applications in unit operations, drawing heavily from the foundational concepts and methodologies presented in Cussler's Diffusion: Mass Transfer in Fluid Systems. Students will gain a thorough understanding of diffusion, convective mass transfer, and interfacial phenomena, as well as the design and analysis of mass transfer equipment such as distillation columns, absorbers, and membrane systems. Emphasis will be placed on practical problem-solving and the integration of theoretical principles with engineering applications in chemical and biochemical processes. This course is designed to bridge the gap between theory and practice, preparing students for advanced study or professional roles in industries requiring expertise in mass transfer and related operations.
Course Schedule	Index \| Topics \| Week # Part 1. Transport Phenomenon 1. Course Intro (week 1) 2. Models to analyze mass transfer (week 2) 3. Diffusion model (week 3, 4, 5) 4. Mass transfer model (week 7 8) Part 2. Unit Operation 5. Absorption (week 10 11) 6. Differential distillation (week 12 13) 7. Stage distillation (week 14 15) 8. Course project (week 16-18)
Evaluation and grading policy	Course participation: 40% Quizzes (x4): 40% Project: 10% Extra Points: 10%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Diffusion, Mass Transfer in Fluid Systems, 3rd Edition, by E.L. Cussler
The access to curricular consultation	email / Zuvio
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	AI1：使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note