University of Warsaw - Central Authentication System
Strona główna

FinTech – financial technology

General data

Course ID: 1000-2M17FT
Erasmus code / ISCED: 11.303 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0612) Database and network design and administration The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: FinTech – financial technology
Name in Polish: FinTech – Financial Technology
Organizational unit: Faculty of Mathematics, Informatics, and Mechanics
Course groups: (in Polish) Przedmioty obieralne na studiach drugiego stopnia na kierunku bioinformatyka
Elective courses for Computer Science
ECTS credit allocation (and other scores): 6.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: English
Type of course:

elective monographs

Short description:

FINTECH (Financial Technology) is a new branch in the IT business that aims at applying newest technologies in the financial services sector. While conventional financial institutions have strived for years to introduce new solutions, FINTECH companies aim to revolutionize banking and other financial services.

FINTECH products are built upon such technologies as Big Data, social network analysis, machine learning algorithms, artificial intelligence. For instance, there exist in the US pay-day-loan companies that assign credit rating to clients based solely on their Facebook data. Such algorithms were also patented by Facebook itself in 2014.

During the lecture, we will discuss the key trends in FINTECH revolution and we will work through multiple examples of successful FINTECH stories. A particular attention will be paid to business and regulatory aspects of FINTECH solutions.

Full description:

FINTECH (Financial Technology) is a new branch in the IT business that aims at applying newest technologies in the financial services sector. While conventional financial institutions have strived for years to introduce new solutions, FINTECH companies aim to revolutionize banking and other financial services.

FINTECH products are built upon such technologies as Big Data, social network analysis, machine learning algorithms, artificial intelligence. For instance, there exist in the US pay-day-loan companies that assign credit rating to clients based solely on their Facebook data. Such algorithms were also patented by Facebook itself in 2014.

During the lecture, we will discuss the key trends in FINTECH revolution and we will work through multiple examples of successful FINTECH stories. A particular attention will be paid to business and regulatory aspects of FINTECH solutions.

1. Introduction to FINTECH. Chosen succesful technologies from the global market.

2. Key technologies used in FINTECH solutions.

3. Economic and business aspects of FINTECH.

4. Social networks and P2P networks & FINTECH

5. Technologies for personal finance management

6. Virtual currencies – construction, functioning, strategic analysis

7. Money laundering and terrorism financing

8. Cybersecurity of FINTECH

9. Ethics in FINTECH

10. FINTECH in social applications.

Bibliography:

Christi S. and Barberis J., (2016) The FINTECH Book: The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries

Mayer-Schnberger V (2013) Big Data: A Revolution That Will Transform How We Live, Work and Think. Viktor Mayer-Schnberger and Kenneth Cukier (John Murray Publishers, UK).

Learning outcomes:

Knowledge:

1. The student knows basic and advanced technologies used in FINTECH

2. The student has a general knowledge about newest FINTECH applications in the financial industry

3. The students is able to identify main research challenges in the field

Skills:

1. The student is able to analyse technical aspects of a chosen technology

2. The student is able to perform a preliminary business analysis of a new FITECH solution for the financial industry

3. The student is able to propose her own solution (that is at least a combination of existing solutions) given business requirements.

4. The student is able to judge whether a FINTECH solution is indeed better than a standard approach

Competences:

1. The students is aware of the limits of her knowledge and the need to expand it regarding the fast growing FINTECH field.

2. The students understands the need for in-depth technological and business analysis of new solutions.

Assessment methods and assessment criteria:

Assessment criteria for laboratories:

1. Attendance - maximum 2 unexcused absences

2. At least 2 presentations - 25% of the final tutorial grade for each presentation

3. Quizzes - 45% of the final score, with each quiz about 5%

4. Activity in classes - 5%

Passing the lecture/course with grade: exam (there is a possibility of exemption from the exam for those who will be satisfied with the grade from laboratories and will want to have such a final grade for the entire course. If you take the exam, including the zero exam, your final grade will be the exam grade, even if it is lower than the laboratories grade).

The form of the exam: written exam at home, open-ended questions, duration 2 hours, photos of solutions immediatelly sent by e-mail after the exam.

Zero examination: same form of examination as above

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-28
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lecture, 30 hours more information
Coordinators: Tomasz Michalak
Group instructors: Tomasz Michalak
Students list: (inaccessible to you)
Examination: Examination

Classes in period "Winter semester 2024/25" (future)

Time span: 2024-10-01 - 2025-01-26
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lecture, 30 hours more information
Coordinators: Tomasz Michalak
Group instructors: Tomasz Michalak
Students list: (inaccessible to you)
Examination: Examination
Course descriptions are protected by copyright.
Copyright by University of Warsaw.
Krakowskie Przedmieście 26/28
00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
contact accessibility statement USOSweb 7.0.3.0 (2024-03-22)