Blockchain and Cryptocurrency
| Code | School | Level | Credits | Semesters |
| BUSI4659 | Nottingham University Business School China | 4 | 10 | Spring China |
- Code
- BUSI4659
- School
- Nottingham University Business School China
- Level
- 4
- Credits
- 10
- Semesters
- Spring China
Summary
The module focuses on the following topics: (1) the concept of open distributed ledger; (2) public and private, permission and permissionless ledgers; (3) hash functions and their use in creating a blockchain; (4) mining; (5) Bitcoin and other major cryptocurrencies; and (6) applications of the blockchain technology in the financial services industry.
Target Students
Only Business School MSc Financial Technology students, MSc Finance and Investment students, and MSc International Management (Business Analytics)’ students.
Classes
- One 2-hour lecture each week for 11 weeks
- One 1-hour computing each week for 5 weeks
Assessment
- 70% Coursework 1: 5,000-word group coursework
- 30% Group Presentation: Presentation based on group coursework, 15 mins
Educational Aims
The module covers the conceptual foundations of blockchain, how it works at a technical level, and how it can be created with Python codes. The module also explore how blockchain can be used to design cryptocurrencies and discusses the differences among major cryptocurrencies.Learning Outcomes
Knowledge and understanding: This module develops a knowledge and understanding of:
• Understand what blockchain is.
• Explain how blockchain works.
• Understand Bitcoin and other cryptocurrencies.
• Describe how the blockchain technology can be employed to create a cryptocurrency.
Intellectual Skills: This module develops:
• Critically evaluate the challenges and disruptive aspects of blockchain technologies.
• Discuss the blockchain technology, its relation with cryptocurrencies, and how Python can be used to create blockchain.
• Critically discuss similarities and differences among major cryptocurrencies.
Professional Practical Skills: This module develops:
• Design blockchain applications using Python.
Transferable (key) Skills: This module develops:
• Manage and interpret numerical and statistical data.
• Manage independent study and demonstrate effective planning and time-management skills.
• Critically evaluate research and information from various sources.
Conveners
- Dr Charles Wang