CME3107 : Chemical Process Optimisation
- Offered for Year: 2018/19
- Module Leader(s): Dr Mark Willis
- Owning School: Engineering
- Teaching Location: Singapore
|Semester 2 Credit Value:||5|
To develop an understanding of the principles of standard optimisation techniques. To understand where the techniques can be beneficially applied.
Outline Of Syllabus
Preliminary mathematics (cost functions, matrices, vectors, Grad., Curl, Least Squares), EVOP, Problem formulation, Necessary and sufficient conditions, Unconstrained multivariable optimisation (gradient based techniques, gradient free), Constrained optimisation (Lagrange multipliers, penalty functions etc.), Linear Programming, Application areas (e.g. Optimisation of Reactors, Distillation trains, Predictive Control). Basic scheduling methods.
|Scheduled Learning And Teaching Activities||Lecture||12||1:00||12:00||N/A|
|Guided Independent Study||Skills practice||6||3:00||18:00||Practical - skills practice|
|Guided Independent Study||Independent study||1||20:00||20:00||Assessment preparation|
Teaching Rationale And Relationship
Lectures convey the mathematical concepts and theory of optimisation and optimisation algorithms and methods, practical classes support this through illustration and allow completion of assignment work.
The format of resits will be determined by the Board of Examiners
|Report||2||M||50||Assignment 1. Issued week 2 (10 pages)|
|Report||2||M||50||Assignment 2. Issued week 5 (10 pages)|
Assessment Rationale And Relationship
The assignments and project allow students to deploy acquired knowledge to solve more realistic engineering problems and also to gain experience of using appropriate software on a computer. They also develop the key skills listed above.