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B.E Artificial Intelligence and Machine Learning Research Methodology 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.

Research-Methodology.pdf
Semester 8 · Fourth Year AI-ML

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Syllabus for Research Methodology

Semester 8 · Fourth Year AI-ML

Module 1: Introduction and Basic Research Concepts Research – Definition; Concept of Construct, Postulate, Proposition, Thesis, Hypothesis, Law, Principle.Research methods vs Methodology

  • Need of Research in Business and Social Sciences Objectives of Research Issues and Problems in Research Characteristics of Research:Systematic, Valid, Verifiable, Empirical and Critical

Module 2: Types of Research Basic Research Applied Research Descriptive Research Analytical Research

  • Empirical Research
  • 2.6 Qualitative and Quantitative Approaches

Module 3

  • Research Design and Sample Design Research Design – Meaning, Types and Significance Sample Design – Meaning and Significance Essentials of a good sampling Stages in Sample Design Sampling methods/techniques Sampling Errors

Module 4: Research Methodology

  • 4.1 Meaning of Research Methodology
  • 4.2 Stages in Scientific Research Process:
  • A Identification and Selection of Research Problem
  • B Formulation of Research Problem
  • C Review of Literature
  • D Formulation of Hypothesis
  • E Formulation of research Design
  • F Sample Design
  • G Data Collection
  • H Data Analysis i. Hypothesis testing and Interpretation of Data j. Preparation of Research Report

Module 5: Formulating Research Problem

  • 5.1 Considerations: Relevance, Interest, Data Availability, Choice of data, Analysis of data, Generalization and Interpretation of analysis

Module 6: Outcome of Research Preparation of the report on conclusion reached Validity Testing & Ethical Issues

  • Suggestions and Recommendation

REFERENCES

  • 1 Dawson, Catherine, 2002, Practical Research Methods, New Delhi, UBS Publishers Distributors.
  • 2 Kothari, C.R.,1985, Research Methodology-Methods and Techniques, New Delhi, Wiley Eastern Limited.
  • 3 Kumar, Ranjit, 2005, Research Methodology-A Step-by-Step Guide for Beginners, (2nd ed), Singapore, Pearson Education

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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