Μαθήματα

Introduction to financial markets. Financial risk management. Portfolio management theory. Portfolio optimization models. Fixed income securities. Valuation models. Risk management for fixed income securities (credit risk, country risk, interest rate risk). Financial derivatives. Options and valuation models. Forwards and futures. Hedging strategies with derivatives. Value-at-risk.

This course aims to teach you the Greek language so that you can effectively communicate with the locals during your stay in the beautiful regions of Crete and Chania. Throughout your journey in learning the Greek language, you will also gain insights into the rich Greek civilization and the fascinating history of Crete. Are you ready to embark on this educational journey?

The aim of the Greek language and civilization course is to enable foreign students to improve both the ability to communicate and the linguistic competence in the Greek language inside and outside the classroom. It enables students to use the Greek language in different situations and social contexts to communicate and interact with each other, through various activities that create a dynamic classroom environment. Receptive (reading, listening) and productive (writing, speaking) skills will be developed. Moreover, the courses will give an insight into the greek, and more specifically into the cretan culture and society, as well as a wider understanding of the social aspect of the Greek language.

Introduction to mining science. The history, the importance and the contribution of mining to civilization. Mining terminology, stages in the life of a mine, the economic value of mineral resources, and their life cycle.  Mineral Exploration. Definition and terms, stages of mineral exploration and anticipated results. Drillhole sampling, data coding, recording and evaluation. Mineral resources reserve estimation and classification systems, sampling grids and number of required, drillholes. Case studies of drillholes data evaluation and reserve estimation.

This is an introductory course on the application of probability theory for the study of stochastic processes and their properties. Topics covered: statistics of stochastic processes and mean square calculus; important processes (Wiener, random walk, white noise, Poisson) modelled using generalized functions; power spectrum, linear systems, and ergodicity; discrete-time Markov chains; principles of information theory.