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Syllabus

Infomation of Course

Program Common [공통(상호인정)] Course Type Elective(Graduate) [ 선택(석/박사) ]
Course Code 39.543 Course No CBE543
Section English English
L:L:C(AU) 3:0:3.0(0) Exam time
(classroom)		 - Tue: 09:00~11:45
()
Course Title Process Systems Engineering Theories and Methods [ 공정시스템 이론과 방법론 ]
Class time
(classroom)		 Tue: 09:00~10:30 / (W1-3)Dept. of Chemical & Biomolecular Engineering [ (W1-3)생명화학공학과 ] (2116)
Thu: 09:00~10:30 / (W1-3)Dept. of Chemical & Biomolecular Engineering [ (W1-3)생명화학공학과 ] (2116)
Notice - Edu 4.0

Information of Professor

Name ()
Department ()
Phone
E-Mail

Plan of Lecture

Syllabus File CBE543_JLee_20F.docx
Syllabus URL
Summary of Lecture 1. Overview of topics in modern process systems engineering
2. Learn concepts and tools of optimization and machine learning and apply them in realistic PSE problems.
3. List of Topics:
? Linear transformation ? Review
? Random variables and stochastic process
? Basics of optimization
? Linear and quadratic programming
? Nonlinear programming
? Mixed integer programming
? Stochastic Programming
? Dynamic Programming and Approximate Dynamic Programming
? Machine learning
Material for Teaching Texts:
1. Notes + relevant parts of the references below (will be extracted and provided).

References:
1. Edga, Himmelblau, Lasdon, Optimization of Chemical Processes, McGraw Hill, 2001
2. Lee, J.H., Morari, M. and Garcia, C. Model Predictive Control, draft version
3. Theodoridis, Sergios Machine Learning, Academic Press, 2015.
Evaluation Criteria * The followings evaluation criteria may change:
A. Attendance: 0 % B. Midterm exam: 30 % C. Final exam: 0 % D.Quiz: 0 %
E. Report: 0 % F. Assignments: 40 % G. Project: 30 % H.Presentation: 0 %
* Limitations on course retaking, if any:
Lecture Schedule List of Topics:
? Linear transformation ? Review
? Random variables and stochastic process
? Basics of optimization
? Linear and quadratic programming
? Nonlinear programming
? Mixed integer programming
? Stochastic Programming
? Dynamic Programming and Approximate Dynamic Programming
? Machine learning
Memo Assistant Name: TBD
Hybrid between Off-Line Video Lectures and On-line Zoom Lectures