Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: EEE319
Module Title: Optimization
Module Level: Level 3
Module Credits: 2.50
Academic Year: 2018/19
Semester: SEM2
Originating Department: Electrical and Electronic Engineering
Pre-requisites: EEE116
   
Aims
To provide students with the ability to:


Understand various engineering optimisation problems.


Select appropriate optimisation methods to deal with a specific engineering optimisation problem.


Develop code to resolve an optimisation problem.


Gain their own knowledge of optimization subjects for further development.
Learning outcomes 
A. Use optimization methods for system analysis and modelling.

B. Apply optimization methods.

C. Use optimization algorithm development to achieve industrial and engineering optimisation solution.

D. Resolve the basic engineering optimization problems using a variety of programming, design and simulation tools.
Method of teaching and learning 
This module will be delivered through a combination of formal lectures, tutorials and supervised laboratory sessions.
Syllabus 
System optimization methods;

Concepts of system optimization;

Constrained optimization;

Unconstrained optimization;

Lagrange multiplier;

Slack variables;

Gradient search direction;

Numerical computation.

Gradient-based optimization methods gradient methods;

Steepest descent method;

Newton method;

Quasi-Newton methods;

Conjugate gradient method;

Feasible direction method.

Optimization algorithms and computation Tools;

Applications to industrial and engineering optimization problems
Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 14      14    47  75 

Assessment

Sequence Method % of Final Mark
1 Final Exam 85.00
2 Continuous Assessments 15.00

Module Catalogue generated from SITS CUT-OFF: 5/22/2018 9:48:38 PM