CHE656: Process Analysis and Modeling

Academic Year 2025 - Semester II

Instructor: Asst. Prof. Dr. Hong-ming Ku

The course consists of 3 parts:

1. System modeling

2. Fundamentals of optimization

3. Design projects​

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Course Syllabus and Design Projects

                          The CHE656 course syllabus here

                          The optimization textbook by Edgar and Himmelblau

                          The six CHE656 design teams and their student members here

                          The problem statement of design projects, Part (a)

NSDC-2000     NSDC-2008     NSDC-2018     NSDC-2019     NSDC-2021     NSDC-2024

                          The problem statement of design projects, Part (b)

                              

                          The booklet on technical writing            

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Homework Assignments and Due Dates

                 The homework problems here.

 

There is a total of 8 homework sets assigned, each of which is worth 100 points:

Part (1): Modeling of Process Dynamics

Homework Set #1 (due - ??): #1, #2, #4, #6, #11, and #13

Homework Set #2 (due - ??): #15, #18, #19, #21, and #22

Homework Set #3 (due - ??): #25, #27, #31, #34, and #35

Part (2): Basic Principles of Optimization

Homework Set #4 (due - Feb 2): #2, #3, #4, #8, #9, #10, and #15

Homework Set #5 (due - Feb 9): #16, #18, #19, and #22 (b), (c), (d), (e), and (k)

Homework Set #6 (due - ??): #25, #26, #28, #31, #34, and #40

Homework Set #7 (due - ??): #43, #44, #45, #47, and #50

Homework Set #8 (due - ??): #54, #55, #59, #61, and #65

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Timetable of Design Project Oral Presentations

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Part (a): AIChE National Student Design Competition

Proposal Presentation - Thursday March 5, 1:30 pm, to be attended by 

Progress Presentation - Thursday March 19, 1:30 pm, to be attended by 

Final Presentation - Thursday April 9, 1:30 pm, to be attended by 

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Part (b): Metaheuristics Development for Optimization

First Presentation - Thursday April 30, 1:30 am, to be attended by

Final Presentation - Thursday May 14, 1:30 pm, to be attended by 

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References and Papers (Downloadable)

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1. A Brief Review of Nature-inspired Algorithms for Optimization by Fisher Jr. et al.

2. Advanced Optimization by Nature-inspired Algorithms, Edited by Omid Bozorg-Haddad

3. Handbook of Metaheuristics by Gendreau & Potvin

4. Handbook of Metaheuristics by Glover & Kochenberger