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Centre for Economics Analysis (CEA@Cass)
Cass Business School, 106 Bunhill Row, London, EC1Y 8TZ, UK.
Contents
Course Description
Courses Programme
Request an Enrolment Form Now
Terms and Conditions
About GAUSS
Timberlake Consultants Ltd, the distributors of GAUSS in the UK, invite you to attend a course, in Central London, on the use of the GAUSS software. The latest version of GAUSS and some of GAUSS Applications will be used throughout the courses to illustrate examples and during the practical sessions. We have tried to make all examples compatible with GAUSS 6 +.
- Basic understanding of Gauss
- Ability to write simple programs in Gauss
- Basic knowledge of graphics and of importing and exporting data in Gauss
- Ability to use GAUSS Applications
The prerequisites for this module are:
- Basic matrix algebra
- Familiarity with a windows environment (Microsoft Windows, Macintosh or similar)
Who should attend - The course, given in English, is aimed at forecasters and researchers in
- Economic Research/
- Financial Modelling/ Arbitrage Trading
- Quantitative Investment Management
- Sales and Inventory Forecasting
- Traffic Modellers
- Energy Load Forecasting
- University Instruction
- Academic Researchers
- and more
Advantages - The course will
- Provide a practical and systematic approach to the modelling of business and financial time series data using the GAUSS programming language and GAUSS applications
- Provide hands-on experience in building econometric models with GAUSS - each delegate is provided with a computer throughout the course
- Provide an opportunity for you to meet with a panel of experienced modellers to discuss industry-specific applications related to forecasting and time series analysis
The Principal Lecturer - The principal lecturer is:
Dr. Stepana Lazarova – Dr Stepana Lazarova has extensive experience in working with Gauss. She has been using Gauss in econometric research while working at London Business School and London School of Economics (LSE). Her academic degrees include MSc in mathematical engineering from the Faculty of Nuclear Sciences of Prague Technical University, PhD in economics from Charles University in Prague and MSc in econometrics at LSE. She has published in Journal of Comparative Economics, Journal of Applied Econometrics and in Journal of Econometrics. Currently she is a lecturer at the Department of Economics, Queen Mary University of London where she works in the area of Time Series Econometrics. In particular she focuses on time series with long memory. She investigates linear models with breaks in parameters and examines the validity of bootstrap methods for models with strongly dependent processes.
Cost - The cost of the course are:
| Organization Type | No Participants |
Late Registrations
(30- days before the course starts) |
Early Registrations
(30+ days before course starts) |
| Commercial |
1st Participant
|
£1,400+VAT=£1,645.00 |
£1,190+VAT=£1,398.25 |
| Commercial | 2nd+ Participant | £1,2500+VAT=£1,468.75 | £1,125+VAT=£1,321.88 |
| Academic | 1st Participant | £1,000+VAT=£1,175.00 | £850+VAT=£998.75 |
| Academic | 2nd+ Participant | £900+VAT=£1,057.50 | £810+VAT=£951.75 |
The cost includes course materials, course dinner, lunch, refreshments and the use of computers. The number of delegates is restricted. Please register early to guarantee your place. Further instructions will be sent with the joining instructions. If you need assistance in locating hotel accommodation in the area, request the help of our Training Department.
Academic discounts are available for this course.
Day 1
- One-hour tutorial – quick hands-on introduction to Gauss
- General overview of Gauss
- Data types
- Matrices
- Operators – matrix, relational, logical and other
- Procedures, functions, keywords
Day 2
- Graphics
- Loops and branching
- Importing and exporting data
- Compiling and debugging programs
- Good practice
Day 3
- Group project I: A simple regression model – designing a model, importing data, estimating, creating plots, presenting output, exporting results
- Group project II: Writing a complete program for one of a set of suggested topics
Registration closes 5 calendar days prior to the start of the course.
Cancellations:
- full fee returned for cancellations made over 28 calendar days prior to start of the course
- half-fee returned for cancellations made 14 calendar days prior to he start of the course
- no fee returned for cancellations made less than 14 calendar days prior to the start of the course.
Payment of course fees required prior to the course start date
For Timberlake Consultants Terms and Conditions click here
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