IG1 - Foundations of EMB Igloo Modelling

Aim
The purpose of this course is to introduce the delegate to the key features and functionality of EMB Igloo, with particular focus on the building blocks and using array formulae.

Overview
The broad topics covered in this module are:

• The EMB Igloo environment
• Simulating from distributions: parametric and empirical
• Applying simple dependency structures
• Using single and multi-dimensional arrays
• Building blocks: base units; sub-models; arrays of base units
• Model interfaces: model inputs and reports
• The system library
• Interaction with spreadsheets

IG2 - Advanced EMB Igloo Modelling

Aim
This course introduces the delegate to the advanced features and functionality of EMB Igloo.  Some of the features covered in the previous course may be revisited in more depth.

Overview
The broad topics covered in this module are:

• Flexible modelling: switches in arrays of base units and conditional links 
• Arrays: merging, manipulating, re-organising, sorting
• Advanced application of dependency structures
• Loop tying and process order
• Bringing together multiple Igloo projects
• Constructing reports and graphing

IG3 - Effective EMB Igloo Modelling

Aim
One purpose of this module is to introduce the delegate to ‘good modelling practice’ in EMB Igloo, with particular focus on the efficiency, transparency and maintainability of models.  Several features and more advanced functionality are introduced throughout the course to achieve this objective.

Overview
The broad topics covered in this module are:

• Advanced modelling of empirical distributions
• Getting data in and out:  databases and spreadsheets
• Memory usage and running models
• Building efficient models
• Arrays of projects and project parameters
• The user library
• Creating an audit trail
• Using batch runs and VBA automation
• Error messages and debugging
• Navigating models
• Advanced building of reports 

IG4 - Parameterisation and Optimisation in EMB Igloo Extreme

Aim
This course introduces the delegate to the key features and functionality related to parameterisation and optimisation in EMB Igloo Extreme.

Overview
The broad topics covered in this module are:

• EMB Igloo Extreme: an overview
• Trending and developing historic data
• Fitting distributions and assessing the goodness of fit
• Constructing simple parameterisation models
• Optimisation using EMB Igloo Extreme
• Performing sensitivity tests of parameters
• Assessing parameter uncertainty
• Sampling algorithms for custom distributions
   

IG99 - EMB Igloo 4 Conversion Course

Aim
Due to the significant enhancements in the new version of Igloo, we are pleased to offer this dedicated conversion course, covering practical examples relating to all the new EMB Igloo 4 features.  This course is aimed at experienced Igloo 3 users who wish to get up to speed with EMB Igloo 4 as efficiently as possible.

Overview
The broad topics covered in this module are:

• String data types
• Enhancements to array indexing
• Enhancements to model inputs and reports
• Project parameters
• Arrays of projects
• BFGS optimiser
• Overview of the ICE library 

IG98 - Features of ICE Library for EMB Igloo Extreme Users

Aim
This course allows Igloo Extreme users to get the most benefit out the ICE Library.  This library contains extensive modules for modelling the financial risk of non-life insurance organisations, complete with extensive user friendly interfaces.  The business uses, methodology, key results and inputs will all be illustrated. 

Overview
The broad topics covered in this module are:

• Gross underwriting risk modelling including parameterisation
• Reserve risk modelling
• Reinsurance modelling 
• Asset modelling
• Applying dependencies
• Preparing financial statements
• Capital setting and allocation 

IG-ICE - Overview of Modelling in EMB Igloo ICE

Aim
This course introduces the delegate to building modules in the EMB Igloo ICE.  The main modules from the library will be looked at and how they can be combined in a capital model for a non-life insurance company.  This course also shows all the key features of the Igloo software such as for navigating models, auditing models and for viewing key results.

Overview
The broad topics covered in this module are:

• Non-life insurance risk types and the modules used to model them
• Constructing models using the ICE library
• Entering model inputs and selecting modelling options
• Navigating the model and viewing key results
• Running Igloo ICE models
• Creating new reports
• Creating an audit trail
• Getting data in and out