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B.E Artificial Intelligence and Machine Learning Blockchain Lab Syllabus - Mumbai University 2026

This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.

Blockchain-Lab.pdf
Semester 7 · Fourth Year AI-ML

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Syllabus for Blockchain Lab

Semester 7 · Fourth Year AI-ML

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: Test networks (Ropsten/Gorelli/Rinkeby), deployment on 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 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.
  • 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
  • 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 Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.

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.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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