This practical workbook contains all the advice, guidance and resources new and student history teachers need to reflect on and develop their teaching practice, helping them to plan lessons across the subject in a variety of teaching situations.

Helpful features include:

• case studies
• examples of pupilsa (TM) work
• examples of existing good practice
• a range of tried-and-tested teaching strategies
• photocopiable resources and training materials
• activities in each chapter to help student history teachers analyze their learning and performance
• web links for further reading on evidence-based practice.

Designed to be used independently or as an integrated extension of the popular textbook, Learning to Teach History in the Secondary School which provides detailed examples of theory in practice, this book is packed with examples of how to analyze practice to ensure maximized learning in the classroom.

This thesis discusses Lvy processes and Lvy copulas. In connection with Lvy processes we treat some of the theory behind infinitely divisible distributions, acknowledging that the two classes are equivalent.Within the class of Lvy processes we will mostly look at stable processes and compound Poisson processes. The theory of Lvy processes dates back to the late 1920's, after de Finetti first introduced the class of infinitely divisible distributions. Since then Lvy processes have become popular tools for modelling in finance, insurance and physics. Lvy copulas were introduced by Peter Tankov in 2003 in order to model dependency between different components of a multivariate Lvy process. In the last part of the book we present an application of Lvy copulas in non-life insurance and ruin theory of a Lvy copula. Through this example we will discuss aspects regarding estimation of the parameters and goodness of fit.