192.080 Crypto Asset Analytics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021S, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to

  • Explain distributed ledger technology and associated cryptoassets
  • Distinguish different types of cryptoassets by their function and technical characteristics
  • Apply fundamental analysis algorithms on cryptoasset transaction datasets
  • Implement specific cryptoasset analytics tasks with open source tools
  • Explain features of privacy-centric cryptocurrencies and possible analysis approaches
  • Apply smart contract analytics tools
  • Analyze footprints of off-chain payment channels in blockchains
  • Present cryptoasset application use cases and scenarios
  • Design and implement their own cryptoasset analytics tasks

Subject of course

  • Cryptoassets and Distributed Ledger Technology Recap
  • Fundamental Cryptocurrency Analytics Methods
  • Analysis of Privacy-Centric Cryptocurrencies (Monero, Zcash, etc.)
  • Analysis of Smart Contracts and Token Systems
  • Analysis of Off-Chain Payment and State Channels
  • Analysis of Decentralized Finance (DeFi) Protocols

Teaching methods

  • Lectures
  • Weekly homework assignments (Reading and programming tasks)
  • Presentations
  • Student project (specific data analytics task)

Mode of examination

Immanent

Additional information

This course features two parts: the first part (beginning of the semester) will feature lectures held by the instructor, invited talks, and weekly homework assignments, mostly in-class presentation of related work and literature. In the second part, students will build on learned analytics methods and techniques and work on a defined project in the field of crypto asset analytics.

Grading

  • Weekly Homework 50%
  • Student Project 50%

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed17:00 - 18:3010.03.2021 Zoom (LIVE)Course Intro & Cryptoassets Recap
Wed17:00 - 18:3017.03.2021 Zoom (LIVE)Basic Cryptoasset Analysis Techniques
Wed17:00 - 18:3024.03.2021 Zoom (LIVE)Cryptoasset Analysis & Privacy Preserving Techniques
Wed17:00 - 18:3014.04.2021 Zoom (LIVE)Analysis of Off-Chain Payment Channels
Wed17:00 - 18:3021.04.2021 ZoomAnalysis of Smart Contracts and Token Systems
Wed17:00 - 18:3028.04.2021 Zoom (LIVE)Analysis of Decentralized Finance (DeFi) Protocols
Wed17:00 - 19:3005.05.2021 Zoom (LIVE)Projects | Overall Approach & Initial Results
Wed17:00 - 19:3002.06.2021 ZoomProjects | Intermediate Results
Wed17:00 - 19:3030.06.2021 Zoom (LIVE)Projects | Final Presentation

Examination modalities

ECTS Breakdown:
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12h Lecture

13h Self-Study, Readings and Homeworks

50h Project

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75h = (3 ECTS)

Course registration

Begin End Deregistration end
19.02.2021 10:00 01.03.2021 23:59 10.03.2021 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Not specifiedSTEOP
Course requires the completion of the introductory and orientation phase
066 645 Data Science Mandatory elective
175 FW Elective Courses - Economics and Computer Science Elective
880 FW Elective Courses - Computer Science Mandatory elective

Literature

No lecture notes are available.

Previous knowledge

  • Programming and analytics skills (e.g., Python, Scala, R).
  • Basic Knowledge of Bitcoin and Cryptocurrency Techniques (e.g., passing “VU 192.065 Cryptocurrencies”)
  • Basic knowledge of network analytics and machine learning techniques (clustering, classification)

Preceding courses

Language

English