2026/27 · Official catalogue edition
The effective term printed in this PDF is Semester A 2024/25。
Offering record for 2026/27：Not offering in current academic year
What you will study
- Course overview and aims
- Students will gain knowledge about internet-based technologies that are applied to financial activities, including mobile payments, cryptocurrencies, blockchain based systems, and the use of Python for processing big financial data. It also covers current trends in FinTech and cybersecurity.
- Keyword syllabus
- Introduction to Financial Services and Markets Banking; Money Market; Stock Market; Bond Market; Other Financial Markets Blockchain and Distributed Ledger Basic Theory: Hashing, Hashing Reference, Nonce; Types of Blockchain; Blockchain implementations; Blockchain Use Cases Cryptocurrencies Blockchain and Cryptocurrencies; Bitcoin; Ethereum; Ripple Mobile Payment Mobile Payment Systems; Mobile Device Security; Architectures and Models for Mobile Payment Systems; Security in Mobile Payment Systems Python for Big Financial Data Python for Finance; Hadoop for Finance; Running MapReduce for Stock Prices; Algorithmic Trading Current Trends on Cybersecurity and FinTech FinTech and Cybersecurity; Current trends on FinTech: AI, Big Data Analytics, and Threat Intelligence
Official PDF, page 4 · Keyword Syllabus
- Intended learning outcomes
View learning outcomes
CILO Intended learning outcome Weight DEC 1 Analyze and evaluate the impact of Internet technologies on traditional financial services and markets. — DEC-A1, DEC-A2 2 Describe and explain the principles and technologies underpinning Internet Finance. — DEC-A1, DEC-A2 3 Develop and implement programming solutions to address issues in Internet finance. — DEC-A1, DEC-A2 4 Assess and demonstrate the significance of cybersecurity in Internet finance. — DEC-A1, DEC-A2 Official PDF, page 2 · Course Intended Learning Outcomes (CILOs)
Before you take this course
Check prerequisites, precursors and corequisites separately, together with equivalence and exclusion conditions. “and” means conditions must be met together; “or” marks alternatives. Read combined conditions in the groupings shown in the original text below.
- Prerequisites
- EE3009 Data Communications and Networking
- Precursors
- Nil
- Corequisites
- This edition of the official syllabus does not state this item.
- Additional course requirements
- This edition of the official syllabus does not state this item.
- Equivalent courses and conditions
- Nil
- Exclusive courses and conditions
- Nil
Assessment and passing the course
- Assessment
- Continuous assessment: 60%; Examination: 40%; Examination duration: 2 hours
Assessment breakdown
Assessment task Weight Generative AI Remarks and restrictions TestCILO 1, 2, 3, 4 36% Not stated in source Not stated in source row AssignmentsCILO 1, 2, 3, 4 24% Not stated in source Not stated in source row Official PDF, page 2 · Assessment Tasks / Activities (ATs)
View the original assessment table and instructions
Test (min: 2) | CILO No. 1, 2, 3, 4 | 36% | Remarks cell blank Assignments (min: 3) | CILO No. 1, 2, 3, 4 | 24% | Remarks cell blank
- Passing requirements
- Remark: To pass the course, student are required to achieve at least 30% in the coursework and 30% of the examination. #may include homework, tutorial/laboratory exercise, project/mini-project, presentation
The catalogue assessment percentages are indicative; the course syllabus provides the detailed assessment scheme.
Credits, duration and edition details
- Title in this edition
- Internet Finance
- Credits in this edition
- 3
- Course duration
- One Semester
- Syllabus effective term
- Semester A 2024/25
- Levels printed in the syllabus
- B1, B2, B3, B4 - Bachelor's Degree
Check the official document
Read or download this edition through the university link below. EE4017 · Open the original university PDF ↗
Source · University course information ↗ · Checked 2026-10-18