6th or 8th Semester
Financial Technology (FinTech)
At A Glance
Course Code
ΧΡΗΤΕ
Course Type
Special background, Skills development
Teaching Language
Greek
Is the course offered to Erasmus Students?
Teaching Delivery
Face to face at the Computer Lab
Use of Information and Communications Technology
Laboratory education, utilizing specialized software and algorithms, all course notes will be shared with students via the university’s e-class platform.
Independent Teaching Activities
Type
Lectures
Weekly Teaching Hours
4
ECTS Credits
7,5
Course Outlines
🇬🇷 Greek
🇬🇧 English
Student Performance Evaluation
Students will be assigned 4 projects, one per main course unit, prepare a presentation and examined through open-ended questions
Learning Outcomes
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.
General Competences
- 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
Syllabus
- 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
Bibliography
- 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
Undergraduate Courses
1st Semester
2nd Semester
3rd Semester
4th Semester
7th Semester
Winter Elective
Spring Elective