ITF 460 | Course Introduction and Application Information - Department of Mathematics

Course Name

New Financial Ecosystem and FinTech

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
ITF 460	Fall/Spring	3	0	3	5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	First Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	Lecture / Presentation
National Occupation Classification	-
Course Coordinator	Prof. Dr. C Coşkun KÜÇÜKÖZMEN
Course Lecturer(s)	Prof. Dr. C Coşkun KÜÇÜKÖZMEN
Assistant(s)	Arş.Gör. MERT SAĞSÖZ

Course Objectives	With the development of digital banking and communication tools global financial sector is increasingly facing huge disruption. Additionally, with the change in consumer preferences, young generation will prefer mostly mobile technologies for their financial needs rather than face to face to meet. The Fintech is short for finance & technology and is a disruptive issue in the field of financial services. This course aims to provide students with the basic and intermediary level of knowledge and skills required by the Fintech as an emerging discipline. This course also aims to explore how finance is re-shaped by the advances in communication and technology.
Learning Outcomes	The students who succeeded in this course; Describe the major technological innovations and digital transformation trends shaping the global financial services industry. Explain key concepts and mechanisms underlying FinTech, including blockchain, open banking, digital payments, and AI-based financial applications. Analyze how technology drives changes in financial intermediation, market competition, and regulatory frameworks. Identify emerging areas of innovation and evaluate their potential impact on the structure and future of the financial system. Assess the risks, challenges, and opportunities created by technological disruption in finance, including ethical and sustainability aspects.
Course Description	The course contains the new financial ecosystem and the future of financial services. The course is supported by real-world cases and best-practices illustrating the themes of technology, business, and finance. These cases take an in-depth look at relevant topics to help describe and analyze the full breadth of the FinTech field.
Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

Week	Subjects	Related Preparation
1	Introduction & Evolution of Fintech
2	Embedded Finance	Lecturer’s Notes
3	Fintech Wars: Competition & Strategy	Lecturer’s Notes
4	Digital Assets & Blockchain	Lecturer’s Notes
5	Open Banking & the API Economy	Lecturer’s Notes
6	Payment Systems & Digital Wallets	Lecturer’s Notes
7	Regulation & Risk Management	Lecturer’s Notes
8	Artificial Intelligence in Fintech	Lecturer’s Notes
9	Midterm Exam
10	Digital Asset Economy & CBDCs	Lecturer’s Notes
11	The Fintech Startup Ecosystem	Lecturer’s Notes
12	Future Trends: Metaverse & Finance	Lecturer’s Notes
13	Case Competition & Project Presentations
14	Case Competition & Project Presentations
15	Review of the Semester
16	Final Exam

Course Notes/Textbooks

Lecturer’s Notes and Selected Articles and Book Chapters

Suggested Readings/Materials

The FINTECH Book: The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries, Susanne Chishti & Janos Barberis, Wiley ISBN: 978-1-119-21887-6

The Wealthtech Book, Susanne Chishti & Thomas Puschmann Wiley, 2018 ISBN-10 : 1119362156

Fintech for Dummies, Steven O’Hanion & Susanne Chishti, A Wiley Brand, 2020

FinTech Innovation: From Robo-Advisors to Goal Based Investing and Gamification, Paolo Sironi, Wiley, 2016

BIS Website (subject to frequent updating and to be informed by the Course Lecturer)

Semester Activities	Number	Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury	1	20
Project	1	40
Seminar / Workshop
Oral Exams
Midterm	1	40
Final Exam
Total

Weighting of Semester Activities on the Final Grade	3	100
Weighting of End-of-Semester Activities on the Final Grade
Total

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	16	2	32
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury	1	10	10
Project	1	30	30
Seminar / Workshop			0
Oral Exam			0
Midterms	1	30	30
Final Exam			0
		Total	150

#	Program Competencies/Outcomes	* Contribution Level
#	Program Competencies/Outcomes	1	2	3	4	5
1	To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.	-	-	-	-	-
2	To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.	-	-	-	-	-
3	To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.	-	-	-	-	-
4	To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.	-	-	-	-	-
5	To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.	-	-	-	-	-
6	To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.	-	-	-	-	-
7	To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.	-	-	-	-	-
8	To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.	-	-	-	-	-
9	To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.	-	-	-	-	-
10	To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.	-	-	-	-	-
11	To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.	-	-	-	-	-
12	To be able to speak a second foreign language at a medium level of fluency efficiently.	-	-	-	-	-
13	To be able to relate the knowledge accumulated throughout the human history to their field of expertise.	-	-	-	-	-