Unit of study_

# ELEC5213: Engineering Optimisation

### 2024 unit information

The unit of study provides an introduction to engineering optimisation, focusing specifically on practical methods for formulating and solving linear, nonlinear and mixed-integer optimisation problems that arise in science and engineering. The unit covers conventional optimisation techniques, including unconstrained and constrained single- and multivariable optimisation, convex optimisation, linear and nonlinear programming, mixed-integer programming, and sequential decision making using dynamic programming. The emphasis is on building optimisation models, understanding their structure and using off-the-shelf solvers to solve them. While the unit is designed with engineers in mind, it provides sufficiently rigorous mathematical treatment to allow deeper study. The application focus is on the optimisation problems arising in electrical engineering, including power systems, communications, signal processing, control and computer engineering. The unit will use Matlab and AMPL as modelling tools and a range of state-of-the-art solvers, including Cplex, Gurobi, Knitro and Ipopt.

## Unit details and rules

#### Electrical and Information Engineering

Code ELEC5213 Electrical and Information Engineering 6
 Prerequisites: ? None None None Linear algebra, differential calculus, and numerical methods. Competency at programming in a high-level language (such as Matlab or Python)

At the completion of this unit, you should be able to:

• LO1. Explain the fundamentals of mathematical optimisation and the need for numerical methods
• LO2. Explain the mathematical foundation of optimisation algorithms
• LO3. Explain the numerical methods required to solve optimisation problems
• LO4. Identify the class of an optimisation problem along with suitable solver technology to solve it
• LO5. Employ programming language MATLAB and MATLAB’s Optimization Toolbox to model and solve optimisation problems arising in different engineering disciplines
• LO6. Write codes in a high-level programming language (such as Matlab or Python) to implement basic numerical solution techniques for solving constrained and unconstrained optimisation problems
• LO7. Write a report to communicate complex project-specific information concisely and accurately and to the degree of specificity required by the project at hand

## Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA   Location Outline
Semester 1 2024
Normal day Camperdown/Darlington, Sydney
Session MoA   Location Outline
Semester 1 2021
Normal day Camperdown/Darlington, Sydney
Semester 1 2021
Normal day Remote
Semester 1 2022
Normal day Camperdown/Darlington, Sydney
Semester 1 2022
Normal day Remote
Semester 1 2023
Normal day Camperdown/Darlington, Sydney
Outline unavailable
Semester 1 2023
Normal day Remote
Outline unavailable

### Modes of attendance (MoA)

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