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B.E Artificial Intelligence and Machine Learning Engineering Materials Syllabus - Mumbai University

This is the First Year AI-ML syllabus under NEP 2020, in force from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Engineering-Materials.pdf
Semester 2 · First Year AI-ML

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Syllabus for Engineering Materials

Semester 2 · First Year AI-ML

Module I: Alloys

Module II: Ceramics

Module III: Composites

Module IV: Plastics and Elastomers

Module V: Advanced Polymers

Module VI: Nano materials A)

Recommended Books

  • 1 Engineering Chemistry, Jain and Jain, Dhanpat Rai Publication
  • 2 A textbook of Engineering Chemistry, S. S. Dara, S. Chand and Company
  • 3 Polymer Science: Vasant Gowarikar, Wiley Estern Ltd, new Delhi
  • 4 Textbook of Polymer science : F.W. Billmeyer
  • 5 Fundamentals of Polymer science & Engineering- Anilkumar & S K Gupta, Tata McGraw Hill, New Delhi 88

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under NEP 2020, in force from the academic year 2024-25. 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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