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Home / Syllabus / B.E. (Artificial Intelligence and Data Science) / Fourth Year BE AI and DS / Semester 7 / Blockchain Technologies Lab

B.E. (Artificial Intelligence and Data Science) Blockchain Technologies Lab Syllabus - Mumbai University 2026

This is the Fourth Year BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01817 and 1T01818. The first and second years of the degree are on NEP 2020.

Blockchain Technologies Lab.pdf
Semester 7 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

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Syllabus for Blockchain Technologies Lab

Semester 7 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

Module 1

  • Local Blockchain: Introduction to Truffle, establishing local Blockchain using Truffle a) Cryptography in Blockchain and Merkle root tree hash

Module 2

  • Smart contracts and Chain code: Solidity programming language, chain code (Java/JavaScript/Go), deployment on Truffle local a) Creating Smart Contract using Solidity b) Embedding wallet and transaction using Solidity

Module 3

  • Deployment and publishing smart contracts on Ethereum test network: Ethereum Test networks (Ropsten/Gorelli/Rinkeby), deployment on test networks, Web3.js/Web3.py for interaction with Ethereum smart contract a) Blockchain platform ethereum using Geth. b) Blockchain platform Ganache

Module 4

  • Remix IDE and Metamask: Smart contract development and deployment using Metamask and Remix. Design and develop Crypto currency

Module 5

  • Chain code deployment in Hyperledger Fabric: Chain code deployment in Hyperledger fabric Mini project: Study required front end tools

Module 6

  • Case Study on Hyperledger

Module 7

  • Case Study on Other Blockchain platforms.

Module 8

  • Creating a blockchain Application

Module 9

  • Mini-project on Design and Development of a DApps using Ethereum/Hyperledger Fabric: Implementation of Mini Project, 1. Design, configure and testing of mini project 2. Report submission as per guidelines 3. Implementation and Presentation of Mini Projects

Text Books

  • 1 Ethereum Smart Contract Development, Mayukh Mukhopadhyay, Packt publication.
  • 2 Solidity Programming Essentials: A Beginner's Guide to Build Smart Contracts for Ethereum and Blockchain, Ritesh Modi, Packt publication.
  • 3 Hands-on Smart Contract Development with Hyperledger Fabric V2, Matt Zand, Xun Wu and Mark Anthony Morris, O'Reilly.

Reference Books

  • 1 Mastering Blockchain, Imran Bashir, Packt Publishing
  • 2 Introducing Ethereum and Solidity, Chris Dannen, APress.
  • 3 Hands-on Blockchain with Hyperledger, Nitin Gaur, Packt Publishing. Mini project: 1. Students should carry out mini-project in a group of three/four students with a subject In-charge 2. The group should meet with the concerned faculty during laboratory hours and the progress of work discussed must be documented.
  • 3 Each group should perform a detailed literature survey and formulate a problem statement.
  • 4 Each group will identify the hardware and software requirement for their defined mini project problem statement.
  • 5 Design, develop and test their smart contract/chain code.
  • 6 Each group may present their work in various project competitions and paper presentations Documentation of the Mini Project The Mini Project Report can be made on following lines:
  • 1 Abstract
  • 2 Contents
  • 3 List of figures and tables
  • 4 Chapter-1 (Introduction, Literature survey, Problem definition, Objectives, Proposed Solution, Technology/platform used)
  • 5 Chapter-2 (System design/Block diagram, Flow chart, Software requirements, cost estimation)
  • 6 Chapter-3 (Implementation snapshots/figures with explanation, code, future directions)
  • 7 Chapter-4 (Conclusion)
  • 8 References

Useful Links

  • 1 https://trufflesuite.com/
  • 2 https://metamask.io/
  • 3 https://remix.ethereum.org/
  • 4 https://www.hyperledger.org/use/fabric

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.12 (N), under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording, module numbering and hours are as printed in that syllabus.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

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