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COMP53515: Cryptocurrencies and Blockchain Technologies

Type Tied
Level 5
Credits 15
Availability Available in 2025/2026
Module Cap
Location Durham
Department Computer Science

Prerequisites

  • None

Corequisites

  • None

Excluded Combinations of Modules

  • None

Aims

  • To introduce students to an advanced topic in Computer Science with applications in modern technology.
  • To introduce students to the theoretical basis, security and history of cryptocurrencies.
  • To introduce students to the practical working of blockchain in real world use cases.

Content

  • Recap of Cryptography
  • Secure hash functions and digital signatures
  • Simple blockchains
  • Decentralisation of blockchains
  • Bitcoin transactions and block details
  • Bitcoin mining
  • Anonymity in cryptocurrencies
  • Ethereum and smart contracts
  • Consensus Algorithms
  • Recent developments in blockchains and cryptocurrencies
  • Real world applications of blockchain

Learning Outcomes

Subject-specific Knowledge:

  • By the end of this module, students should be able to demonstrate:
  • an understanding of the cryptographic protocols underlying blockchain security.
  • knowledge of the key features and differences between a number of cryptocurrencies.
  • knowledge of the structure and use of smart contracts in a blockchain.
  • an understanding of some recent developments in cryptocurrencies and blockchains.

Subject-specific Skills:

  • By the end of this module, students should be able to demonstrate:
  • an ability to create and maintain a simple blockchain.
  • an ability to interact with and transact in a cryptocurrency such as bitcoin programmatically.
  • an ability to develop and deploy a smart contract on a blockchain such as Ethereum.

Key Skills:

  • By the end of this module, students should be able to demonstrate:
  • an ability to apply logical reasoning to practical scenarios.
  • an ability to analyse complex protocols.
  • an ability to read and understand technical papers.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Lectures enable the students to learn new material relevant to blockchains and cryptocurrencies as well as their applications.
  • Computer classes enable the students to put into practice learning from lectures and strengthen their understanding through application.
  • Formative and summative assessments assess the application of methods and techniques.
  • The assignment element of the coursework component consists of a coding exercise with accompanying report.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures81 per week2 hours16 
Lectures41 every other week (weeks 2, 4, 6, 8)1 hour4 
Computer Classes41 every other week (weeks 1, 3, 5, 7)2 hours8 
Preparation and Reading122 
Total150 

Summative Assessment

Component: CourseworkComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Assignment100

Formative Assessment

Practical Tasks as relevant; project development tasks.

More information

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