Financial Technology (FinTech)

6th or 8th Εξάμηνο

Ακαδημαϊκό Έτος 2025-26

Με Μια Ματιά

Κωδικός Μαθήματος

ΧΡΗΤΕ

Τύπος Μαθήματος

Special background, Skills development

Γλώσσα Διδασκαλίας

Greek

Το μάθημα προσφέρεται σε φοιτητές Erasmus;

Τρόπος Παράδοσης

Face to face at the Computer Lab

Χρήση Τεχνολογιών Πληροφορίας και Επικοινωνιών

Laboratory education, utilizing specialized software and algorithms, all course notes will be shared with students via the university’s e-class platform.

Αυτοτελείς Διδακτικές Δραστηριότητεσ

Τύπος

Lectures

Εβδομαδιαίες Ώρες

Μονάδες ECTS

7,5

Περιγράμματα Σπουδών

🇬🇷 Ελληνικά

🇬🇧 Αγγλικά

Συνδεσμοι

Αξιολόγηση Φοιτητών

Students will be assigned 4 projects, one per main course unit, prepare a presentation and examined through open-ended questions

Μαθησιακά Αποτελέσματα

Students will be using their PCs all the time, allowing them to become more familiar with both the theory and its implementation using the appropriate software (Python, Power BI and sql). Prior knowledge of these programs is not required for attending this course. Goal of the course is to help students understand WHAT they want to develop, WHY they would need to develop it and then actually develop it.

Γενικές Ικανότητες

Search for, analysis and synthesis of data and information, with the use of the necessary technology
Decision-making
Working independently
Teamwork
Production of free, creative, and inductive thinking

Περιεχόμενο Μαθήματος

Big Data Analytics και Business Intelligence Tools (Power BI)
Statistical Learning, Machine Learning και Artificial Intelligence
Blockchain και Cryptocurrencies
Algorithmic Trading

Selected material is covered in the following CFA sections:

CFA Level I: Fintech in Investment Management
CFA Level II: Algorithmic Trading and High Frequency Trading

Βιβλιογραφία

Artificial Intelligence Applications in Financial Services, Oliver Wyman
An Introduction to Statistical Learning with Applications in R. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Blockchain Technology Overview, Dylan Yaga, Peter Mell, Nik Roby, Karen Scarfone

Μαθήματα Προπτυχιακού

1ο Εξάμηνο