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	342997	Process Optimisation	1	3.0	3	★	Yu-Da Hsiao	GCEB IDEOM	1	0	化工所&EOMP

Course Plan：

Instructor	Yu-Da Hsiao　Office Hours
Email	ydhsiao@ntut.edu.tw
Last Updated	2024-12-31 13:50:55
Course Objective	本課程說明程序最適化的基本原理，介紹化工程序及能源系統中常見的最適化策略。內容包括：最適化理論及演算法、數學規劃與建模技巧、最適化於化工問題及能源議題之應用。 This course aims to introduce optimisation basics and common optimisation strategies in chemical processes and energy systems. The contents include optimisation theory and algorithms, mathematical programming and modelling techniques, and applications to chemical engineering problems and energy issues.
Course Schedule	Week 1 – Introduction to Process Optimization Week 2 – Linear and Nonlinear Programming Week 3 – Mixed-Integer Programming Week 4 – Disjunctive Programming Week 5 – Global Optimization Week 6 – Stochastic Optimization Week 7 – Flexibility Analysis Week 8-18 – Case Studies on Process Optimization
Evaluation and grading policy	Participation 25% Quiz 25% Final Project 50%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Grossmann, I. E., "Advanced Optimization for Process Systems Engineering". Cambridge University Press, 2021. 2. Self-made materials
The access to curricular consultation	Email
The course corresponds to the SDGs	SDG6：潔淨水與衛生（Clean Water and Sanitation） SDG7：可負擔的潔淨能源（Affordable and Clean Energy） SDG12：負責任的消費與生產（Responsible Consumption and Production）
Note