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No. Type(s) Class Title
5916 PI Blockchain and Distributed Ledger Technology II Präsenz-Modus
This class is only offered in summer semesters.
Registration via LPIS
from 2024-02-12 15:00 to 2024-02-15 23:59
De-registration via LPIS
from 2024-02-12 15:00 to 2024-04-29 23:59

Instructor(s) Sajjad Khan, MSc., Dr. Edin Arnautovic
Subject(s) Master Programs Blockchain and Distributed Ledger Technology II
Credit hours 2
Language of instruction English

Detailed schedule
Thu, 2024-05-02 14:00-17:00 D2.0.038 (Map)
Thu, 2024-05-16 14:00-17:00 D2.0.038 (Map)
Thu, 2024-05-23 14:00-17:00 D2.0.038 (Map)
Thu, 2024-06-06 14:00-17:00 D2.0.038 (Map)
Thu, 2024-06-13 14:00-17:00 D2.0.038 (Map)
Thu, 2024-06-20 14:00-17:00 D2.0.038 (Map)
Thu, 2024-06-27 14:00-18:30 D2.0.038 (Map)
Download schedule (ical) | Subscribe schedule

Further information https://learn.wu.ac.at/vvz/24s/5916

Contact details:
edin.arnautovic@wu.ac.at
Contents:

This graduate-level course focuses on advanced distributed ledger technologies (DLT) and applications. The students will be exposed to the latest DLT research trends and applications, including AI, IoT, connected vehicles, health, and complex supply chain applications. For example, advanced blockchain and AI applications in the connected vehicle domain can protect sensitive data associated with specific vehicles and drivers or enhance cooperative driving by securing and privatizing road information exchange and creating monetized incentives within the network of automated electric vehicles. Another example is the utilization of DLT in “shared manufacturing”, which relates to the economic driver of ’flexible production’. The course will also cover the utilization of DLT to support privacy protection in decentralized AI. The students will have the opportunity to improve their research, development, and presentation skills through the exposure to a set of challenging deliverables in the course
Learning Outcomes:

Learning outcomes

  1. Understanding of blockchain technology: Students will gain an understanding of the technical underpinnings of blockchain technology, including consensus mechanisms, cryptography, and smart contracts.
  2. Hands-on experience: Students will have the opportunity to work with blockchain platforms and tools, such as Ethereum and Hyperledger, to develop and deploy their own decentralized applications.
  3. Get to know the difference between the most widely deployed blockchain-based platforms and learn to critically assess the decisions taken when designing blockchain technologies
  4. Blockchain and AI integration: Students will learn about the potential of blockchain and AI integration, including the use of blockchain to govern AI models, decentralized AI marketplaces, and secure data sharing.
  5. Legal and regulatory considerations: Students will learn about the legal and regulatory considerations for blockchain technology, including issues such as security, privacy, and compliance.
  6. Real-world case studies: Students will learn about real-world applications of blockchain technology, including use cases in finance, supply chain management, digital identity, and more.
  7. Research and innovation: Students will have the opportunity to conduct independent research and explore new and emerging blockchain-based technologies and their potential impact on various industries.
Attendance requirements:

According to the examination regulation full attendance is intended for a PI. 80% attendance required to pass the course.
Teaching/learning method(s):

A selection of recent research publications will be covered as part of the course requirements.
Assessment:

There will be three 5 evaluations (dates will be defined in the first lecture):

  1. Individual research paper presentation (will be individually scheduled; 20 marks)
  2. Project idea, abstract, and introduction (10 marks; minimum 3 references)
  3. Project background/related work, research method, and preliminary results (20 marks; minimum 10 references)
  4. Final project deliverable (40 marks; minimum 20 references)
  5. Final project presentation (10 marks; minimum 20 references)

 
Last edited: 2024-01-26 12:42
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