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Home / Syllabus / B.E. (Artificial Intelligence and Data Science) / Fourth Year BE AI and DS / Semester 8 / AI for Financial and Banking Application Lab

B.E. (Artificial Intelligence and Data Science) AI for Financial and Banking Application Lab Syllabus - Mumbai University

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.

AI for Financial and Banking Application Lab.pdf
Semester 8 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

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Syllabus for AI for Financial and Banking Application Lab

Semester 8 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

Suggested List of Experiments

  • 1 Setting up a Digital Money Transfer System
  • 2 Calculating Sharpe Ratios for Investment Portfolios 3, Cluster Analysis of Financial Data for Market Segmentation
  • 4 Analyzing Market Sentiment using the Markov Regime Switching Model
  • 5 Developing and Backtesting a Simple Trading Algorithm
  • 6 Implementing Advanced Risk Management Techniques in Trading Algorithms
  • 7 Fraud Detection using Machine Learning Algorithms
  • 8 Visualizing Fraud Patterns and Analytics
  • 9 Designing and Backtesting Complex Trading Strategies
  • 10 Evaluating and Enhancing the Performance of Trading Algorithms
  • 11 Applying Machine Learning for Predictive Fraud Analytics

Text Books

  • 1 Financial Analytics with R Building a Laptop Laboratory for Data Science MARK J. BENNETT University of Chicago DIRK L. HUGEN University of Iowa
  • 2 Artificial Intelligence in Finance A Python-Based Guide, Yves Hilpisch A
  • 3 Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection , Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke

References

  • 1 " Machine Learning for Asset Managers" by Marcos López de Prado
  • 2 "Advances in Financial Machine Learning" by Marcos López de Prado.

Digital Material

  • 1 https://www.eastnets.com/newsroom/digital-transformation-in-the-banking-and-financial-services-sector
  • 2 https://www.techopedia.com/definition/34633/generative-ai

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.

PDF B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
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