Course title | |||||
化学プロセス工学特論Ⅱ [Advanced Chemical Process Engineering Ⅱ] | |||||
Course category | courses for doctoral programs | Requirement | Credit | 2 | |
Department | Year | ~ | Semester | Fall | |
Course type | Fall | Course code | 1080222 | ||
Instructor(s) | |||||
山下 善之 [YAMASHITA Yoshiyuki] | |||||
Facility affiliation | Faculty of Engineering | Office | Email address |
Course description |
This course will provide the student with the ability to model engineering problems. It also introduces various methods for to formulate, solve and interpret engineering optimization problems. |
Expected Learning |
1. capable to understand and formulate optimization problems. 2. capable solve optimization problems. 3. capable to model engineering problems. |
Course schedule |
1) Introduction to Process Optimization a) What optimization is all about b) Various types of optimization problems c) Procedure for solving optimization problems 2) Discrete Optimization and Applications d) Overview of discrete optimization e) Formulation of the problems 3) Modeling of Process Systems f) Multivariate analysis g) Modeling and analysis of time series |
Prerequisites |
Required Text(s) and Materials |
Thomas F. Edgar, David M. Himmelblau and Leon S. Lasdon, Optimization of Chemical Processes, 2nd edition, McGraw-Hill (2001). Handouts and materials given on or before the lectures. |
References |
Assessment/Grading |
Examinations, Hands-on Exercises, and Reports |
Message from instructor(s) |
Course keywords |
Office hours |
Remarks 1 |
Remarks 2 |
Related URL |
Lecture Language |
English |
Language Subject |
Last update |
3/16/2017 1:52:58 PM |