Data Science and statistical learning in the actuarial profession
This short course provides an introduction to data science with an emphasis on machine & statistical learning. We cover the situations in which the learning target is known (supervised learning), both continuous (regression) and discrete (classification), as well as the case of an unspecified target (unsupervised learning). The focus is on techniques and examples that are useful for the actuarial profession.
The first day we will delve into several of the main behavioral biases and their impact on individual decision-making. We give also an overview of insights and instruments of behavioral economics.
The second day consists of two parts. The first is used for discussion of selected academic papers, actively lead and prepared by students. Secondly, students also are asked to prepare a short essay which will be discussed in class via a presentation.
IFRS for Insurers
The first part of this module focuses on the importance of accounting for understanding the business world. The second part of this module deals with the latest developments in the accounting standards relevant to actuaries.
This course in Insurance Law introduces you to the essential features and principles of Dutch insurance law and insurance contracts.