Foundation and Application of Financial Technology (FTF301m)
Vietnamese title: Nền tảng và ứng dụng trong tài chính công nghệ
Credits: 3
Prerequisites: FIN301

Description:
Wharton’s Fintech Specialization introduces the core concepts of financial technology and its real-world applications. Through case studies, you’ll explore topics like cryptocurrency, portfolio optimization, digital payments, robo-advising, and blockchain. By the end, you’ll be equipped to make informed decisions about using fintech solutions for personal or business advantage.

Learning outcomes:
Understand FinTech Fundamentals: Grasp the core concepts, technologies, and evolution of FinTech, and their transformative impact on financial services.
Analyze Applications of Technology in Finance: Evaluate the integration of emerging technologies like AI, blockchain, and data analytics into payments, lending, investing, and insurance.
Examine Market Dynamics and Consumer Trends: Identify and interpret market trends, consumer behavior, and the factors driving the adoption of FinTech innovations.
Navigate Regulatory and Ethical Challenges: Understand the regulatory frameworks and ethical considerations, including data privacy and cybersecurity, in the FinTech ecosystem.
Critically Assess Risks and Opportunities: Analyze risks such as cybersecurity threats and operational challenges while identifying opportunities for growth and innovation in financial technology.
Apply Strategic Thinking to Financial Innovation: Develop the skills to apply FinTech solutions to real-world problems, enhancing efficiency and value in financial operations.
Present the understanding of the subject as well as skills through individual work and group work.

Student tasks:
- Students must attend more than 80% of contact slots in order to be accepted to the final examination.
- Student is responsible to do all exercises, assignments and labs given by instructor in class or at home and submit on time
- Use laptop in class only for learning purpose
- Promptly access to http://flm.fpt.edu.vn for up-to-date course information

Tools:
- Internet
- Laptop

Materials:
description: MOOC: Fintech: Foundations & Applications of Financial Technology Specialization
author: Christopher Geczy, University of Pennsylvania
publisher: Coursera
published_date: 2019

Assessments:
category: Final Exam
type: Final
weight: 30.0
duration: 60 minutes
question_type: CLO1, CLO2, CLO3, CLO4, CLO5, CLO6, CLO7
no_question: Multiple-choice, True/False, and short-answer questions
knowledge_and_skill: 50 questions
grading_guide: Comprehensive coverage of fintech principles and applications
note: Closed-book; comprehensive assessment of all modules, testing both theoretical and applied knowledge.
category: Class Participation
type: Ongoing
weight: 10.0
duration: All sessions
question_type: All CLOs
no_question: Discussion questions, constructive feedback, and participation
knowledge_and_skill: Varies by session
grading_guide: All modules
note: Participation graded on quality of engagement, contribution to discussions, and collaboration with peers. Builds communication skills and peer-to-peer learning.
category: Group Assignment
type: Ongoing
weight: 30.0
duration: Multiple sessions
question_type: CLO1, CLO2, CLO3, CLO4, CLO5, CLO6, CLO7
no_question: Group project on fintech application, collaborative report and presentation
knowledge_and_skill: 1 project
grading_guide: Application of concepts to real-world fintech issues
note: Students work in groups to analyze a fintech innovation or design a solution, presenting findings. Focus on teamwork and practical problem-solving.
category: Individual Assignment
type: Ongoing
weight: 20.0
duration: 3 weeks
question_type: CLO1, CLO2, CLO3, CLO4, CLO5, CLO6, CLO7
no_question: Analysis and research report
knowledge_and_skill: 3 cases study
grading_guide: In-depth analysis of a fintech technology or innovation
note: Students work individually to analyze cases study throughout this course and submit their work to be assessed and graded.
category: Quiz
type: Ongoing
weight: 10.0
duration: 30 minutes
question_type: CLO1, CLO6, CLO7
no_question: Multiple-choice, True/False, and short-answer questions
knowledge_and_skill: 20–25 questions
grading_guide: Key fintech concepts, terminology, and foundations
note: Closed-book; quizzes reinforce foundational knowledge and understanding of fintech principles.

Schedule:
session: Course 1: FinTech: Foundations, Payments, and Regulations
Course Introduction & Overview of FinTech
learning_outcomes: I
session: What is FinTech?
Introduction to Robo-Advising
Defining Market Size & Financial Apps
learning_outcomes: I
session: Assets Under Management (AUM) in Robo-Advisors
The Insurtech Market
learning_outcomes: T
session: Global FinTech Market
learning_outcomes: T
session: Key Considerations in FinTech
learning_outcomes: T
session: Millennials’ Financial Behavior
learning_outcomes: T
session: Risk Aversion & Social Impact
learning_outcomes: T
session: Trust in FinTech & Choice Architecture
learning_outcomes: T
session: Introduction to Payments
History of Payment Methods
learning_outcomes: T
session: Two-Sided Payment Markets
Complexity of Payment Processes
Credit Card Rewards & Costs
learning_outcomes: T
session: Case Study: The Impact of Russia’s Removal from SWIFT and Its Adaptation Strategies
learning_outcomes: T
session: Case Study: The Impact of Russia’s Removal from SWIFT and Its Adaptation Strategies
learning_outcomes: T
session: Case Study: The Impact of Russia’s Removal from SWIFT and Its Adaptation Strategies
learning_outcomes: T
session: US & International Credit Regulation
Future of Payment Networks
learning_outcomes: T
session: Perspectives on Financial Regulation
learning_outcomes: T
session: Great Recession & FinTech Emergence
learning_outcomes: T
session: FinTech Growth: Benefits & Challenges
learning_outcomes: T
session: Challenges in FinTech Regulation
learning_outcomes: T
session: Introduction to RegTech
learning_outcomes: T
session: Quiz for Course 1
learning_outcomes: U
session: Course 2: Cryptocurrency and Blockchain
Overview of Cryptocurrency
Bitcoin Transactions
Introduction to Blockchain
learning_outcomes: I
session: Digital Signatures & Security
learning_outcomes: T
session: Distributed Consensus & Proof of Work
learning_outcomes: T
session: Mining, Currency Supply, & Blockchain Future
learning_outcomes: T
session: Cryptocurrency as an Asset
Portfolio Theory in Cryptocurrency
learning_outcomes: T
session: Blockchain Ecosystem
Building Blockchain & Industry Applications
learning_outcomes: T
session: Case Study: The Challenges of Cryptocurrency for Governments and Regulators
learning_outcomes: T
session: Case Study: The Challenges of Cryptocurrency for Governments and Regulators
learning_outcomes: T
session: Case Study: The Challenges of Cryptocurrency for Governments and Regulators
learning_outcomes: T
session: Case Study on Blockchain in Business & Gaming
learning_outcomes: T
session: Regulatory Issues in Blockchain
learning_outcomes: T
session: Emerging FinTech Frontiers: Securitize
learning_outcomes: T
session: Quiz for Course 2
learning_outcomes: U
session: Course 3: Lending, Crowdfunding, and Modern Investing
Introduction to Robo-Advising & Portfolio Theory
learning_outcomes: I
session: Mean-Variance Optimization (Part 1)
Mean-Variance Optimization (Part 2)
learning_outcomes: T
session: ETFs & Mutual Funds in Robo-Advising
Target Date Funds & Customization
Crowdfunding Basics
learning_outcomes: T
session: JOBS Act & Crowdfunding Regulations
learning_outcomes: T
session: Risks and Costs in Crowdfunding
learning_outcomes: T
session: Learning from the Crowd
learning_outcomes: T
session: Introduction to Marketplace Lending
learning_outcomes: T
session: Consumer Credit Landscape
learning_outcomes: T
session: Case Studies: Lending to Small Businesses
learning_outcomes: T
session: Case Study: CommonBond & Square
learning_outcomes: T
session: Course 4: Applications of AI, InsurTech, and Real Estate Technology
Introduction to InsurTech & Emerging Technologies
learning_outcomes: I
session: AI & Machine Learning in InsurTech
learning_outcomes: T
session: Redefining the Insurance Industry
learning_outcomes: T
session: Classifications of InsurTech Firms
learning_outcomes: T
session: Market Size & Investment in InsurTech
learning_outcomes: T
session: Case Study: The Impact of AI in the Insurance Industry and the High Claim Denial Rate
learning_outcomes: T
session: Case Study: The Impact of AI in the Insurance Industry and the High Claim Denial Rate
learning_outcomes: T
session: Case Study: The Impact of AI in the Insurance Industry and the High Claim Denial Rate
learning_outcomes: T
session: Real Estate Tech: Industry Background
learning_outcomes: T
session: Key Trends in Residential Real Estate Tech
learning_outcomes: T
session: Commercial Real Estate Technology
learning_outcomes: T
session: Group Presentations (Final 6 Sessions)
learning_outcomes: U
session: Group Presentations (Final 6 Sessions)
learning_outcomes: U
session: Group Presentations (Final 6 Sessions)
learning_outcomes: U
session: Group Presentations (Final 6 Sessions)
learning_outcomes: U
session: Group Presentations (Final 6 Sessions)
learning_outcomes: U
session: Group Presentations (Final 6 Sessions)
learning_outcomes: U