Introduction | Why Use MATLAB? | Course HighlightsWho Should Attend? | About The Presenter | About MATLAB Course Details | Registration
Optimisation is a key task in almost all modern technology. Optimisation forms the basis of modelling and simulation, design of experiments and the associated statistical analysis of the data, and scheduling and manufacturing problems.
This course will show you how to employ a variety of optimisation strategies for engineering and scientific tasks. We will use the Optimization toolbox to solve static problems in MATLAB, and we will use Simulink to solve dynamic optimisation problems. A constrained quadratic programming example. Click image to enlarge.
In the course participants will experiment with a selection of real-world optimisation problems from disciplines as diverse as ecological models, fisheries management, optimal control strategies, statistical data fitting, travelling salesman, and optimal scheduling.
The MATLAB environment integrates mathematical computing, visualisation, and a powerful technical language. Built-in interfaces let you quickly access and import data from instruments, files, external databases and programs. In addition, MATLAB lets you integrate external routines written in C, C++, Fortran, and Java with your MATLAB applications, and allows you to create compiled programs.
Course participants receive a full set of notes, overheads and a CD containing the course m-files and examples.
We particularly welcome you to bring along your own problems and data, and challenge the instructor to solve them.
Using MATLAB to optimise with the route for a kayak across the Firth of Thames battling the tides and wind. Click image to enlarge.
This course is intended for those who want to look at applying optimisation techniques to modelling and simulation, design of experiments, associated statistical analysis of the data, and scheduling and manufacturing problems.
We recommend that you familiarise yourself with using MATLAB if you have no experience with the product before attending the course.
David Wilson is an Associate Professor in the Department of Electrical & Electronic Engineering at the Auckland University of Technology. He is also a director of the Industrial Information and Control Centre, (I2C2) which is a joint collaboration with the University of Auckland involved with process control, modelling and optimisation of industrial processes.
Before joining AUT University, he was a senior lecturer in Sweden and Switzerland working with pulp and paper companies Swiss pharmaceutical companies, and government sponsored environmental projects. David’s research interests lie in model predictive control, GPS applications in the marine industry, and modelling and simulation of a wide variety of applications spanning the finance, agriculture, fishing and manufacturing industries.
David received his Ph.D. from the University of Queensland in 1990, and a BE (Chemical & Materials) from the University of Auckland.
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About MATLAB
MATLAB is widely used around the world by engineers and scientists who need to make mathematical models that guide them in their work. These models can involve simple sums, but they are more likely to involve matrix calculations, either explicitly or hidden behind easy-to-use graphical interfaces.
In New Zealand, MATLAB users are from diverse areas such as electronics engineering, environmental science, finance, structural engineering, electricity generation and distribution, brewing, and the dairy industry. One NZ customer uses MATLAB to analyse the performance of Grand Prix racing cars for one of the major teams. MATLAB was also used by one of the America’s cup teams.
MATLAB is an essential tool for modelling and analysis for organisations that require a robust environment for easy application development. MATLAB is easy to learn and can provide a platform for faster development, integration and deployment. Professionals say MATLAB cuts their programming time by 90%.
MATLAB is used in a variety of application areas, including general algorithm development, signal and image processing, control system design, earth and life sciences, finance and economics, and instrumentation.
For more information on MATLAB, see www.hrs.co.nz/matlab.
PLEASE NOTE: This is a one day course to be held on18 November 2010 at AUT.
Course Fee: Your investment is $1,195 + GST per person.
Early Bird Price: Register with your confirmed payment details before 1 October and pay only $1,045 + GST per person.
Additional Discount: If you attend more than one of the MATLAB courses running in November 2010, we will offer you an additional discount. The other MATLAB training courses you may register for are:
Please contact Bruce for more details about the additional discounts.
Student Prices: Student pricing is available for those who are able to produce a current student ID. Please contact Bruce.
Payment: We will invoice you after the course and are happy to accept payments by MasterCard, VISA or company purchase order.
Payments will be processed after course completion, but we do require your PO# or credit card details in advance to secure your place on the course. Please supply your payment details when you register!
Cancellation: We allow cancellation at no fee until 10 days prior to the course, after that date payment is required. Course attendees can be substituted to avoid cancellation.
Course Start Time: The course starts at 9.00am and finishes around 5.00pm. Lunch will be provided each day and pay parking at Wilson Car Park is available in the vicinity. You will be sent full course details by email when you register.
In-House Training Option: If you have several people in your organisation who need training, or if you want a specialised presentation of the methods, then contact HRS about a customised course in your own premises.
We regularly train groups of people on-site in a wide variety of industries and locations spanning from government departments, financial institutions, engineering companies, and basic research groups. We make an effort to customise the courses to suit your problems and your interests.
To register for this training course click on the registration link to the right below and fill in the form.
Alternatively, you can download the training brochure, which is a brief overview of the information on this page and has a printable registration form that you can either fax or post to us.
For more information email Bruce or phone him on 0800 477 776.
