Course Syllabus

Course Information：

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

Spring Semester
Year 2026 356228 Advanced Numerical Heat Transfer 1 3.0 3 ★ PENG,WEI-TSU GME 7 0 限30人；甲組選修

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	356228	Advanced Numerical Heat Transfer	1	3.0	3	★	PENG,WEI-TSU	GME	7	0	限30人；甲組選修

Course Plan：

Instructor PENG,WEI-TSU　Office Hours

Email wtpeng@ntut.edu.tw

Last Updated 2025-12-22 17:23:07

Course Objective This course focuses on numerical methods for solving thermal problems, with an emphasis on theoretical formulation and practical implementation using computational software. The topic covers fundamental heat transfer, including conduction in steady-state and transient scenarios, natural and forced convection, and radiative heat transfer.

Course Schedule Week 1: Introduction to Numerical Heat Transfer Week 2: Fundamentals of Heat Transfer Week 3: Conservation of Mass, Momentum, Energy Week 4: Boundary & Initial Conditions Week 5: Theoretical Transient Heat Conduction Week 6: Fin Conduction–Convection Week 7: Boundary Layers Week 8: External & Internal Flow Week 9: Midterm exam Week 10: Numerical Methods Fundamentals Week 11: Mesh & Grid Independence Week 12: Software Environment Week 13: Case Study: Transient Heat Conduction Week 14: Case Study: Fully Developed Duct Flow Week 15: Case Study: Fin Conduction–Convection Week 16: Case Study: LEDs Week 17: Case Study: Electronics on PCB Week 18: Final exam

Evaluation and grading policy Attendance 20% Mid-term exam 40% Final exam 40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Yunus Cengel, Afshin J. Ghajar, “Heat and Mass Transfer: Fundamentals and Applications,” 6th ed., ISBN 9789863415121. McGraw-Hill Education, New York, United States of America, 2024.

The access to curricular consultation Curricular consult at my office during the office hour or via email.
Students can also contact me through: 02-2771-2171 # 4801

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG7：可負擔的潔淨能源（Affordable and Clean Energy）
SDG11：永續城市與社區（Sustainable Cities and Communities）

Does the course incorporate AI ● 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）

Note
　

Instructor	PENG,WEI-TSU　Office Hours
Email	wtpeng@ntut.edu.tw
Last Updated	2025-12-22 17:23:07
Course Objective	This course focuses on numerical methods for solving thermal problems, with an emphasis on theoretical formulation and practical implementation using computational software. The topic covers fundamental heat transfer, including conduction in steady-state and transient scenarios, natural and forced convection, and radiative heat transfer.
Course Schedule	Week 1: Introduction to Numerical Heat Transfer Week 2: Fundamentals of Heat Transfer Week 3: Conservation of Mass, Momentum, Energy Week 4: Boundary & Initial Conditions Week 5: Theoretical Transient Heat Conduction Week 6: Fin Conduction–Convection Week 7: Boundary Layers Week 8: External & Internal Flow Week 9: Midterm exam Week 10: Numerical Methods Fundamentals Week 11: Mesh & Grid Independence Week 12: Software Environment Week 13: Case Study: Transient Heat Conduction Week 14: Case Study: Fully Developed Duct Flow Week 15: Case Study: Fin Conduction–Convection Week 16: Case Study: LEDs Week 17: Case Study: Electronics on PCB Week 18: Final exam
Evaluation and grading policy	Attendance 20% Mid-term exam 40% Final exam 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Yunus Cengel, Afshin J. Ghajar, “Heat and Mass Transfer: Fundamentals and Applications,” 6th ed., ISBN 9789863415121. McGraw-Hill Education, New York, United States of America, 2024.
The access to curricular consultation	Curricular consult at my office during the office hour or via email. Students can also contact me through: 02-2771-2171 # 4801
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG7：可負擔的潔淨能源（Affordable and Clean Energy） SDG11：永續城市與社區（Sustainable Cities and Communities）
Does the course incorporate AI	● 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）
Note