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B.E Artificial Intelligence and Machine Learning Engineering Materials Lab 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-Lab.pdf
Semester 2 · First Year AI-ML

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Syllabus for Engineering Materials Lab

Semester 2 · First Year AI-ML

01 Determination of Sn from solders volumetrically

Module 1: Composition, Properties of any 4 alloys

Module 2: Advantages and applications of Ceramics

Module 3: Note on FRPs

Module 4: Synthesis, properties and uses of any two plastics/elastomers

Module 5: Note on Liquid Crystal polymers

Module 6: Note on CNTs

Recommended Books

  • 1 Engineering Chemistry, Jain and Jain, Dhanpat Rai Publication
  • 2 A textbook of Engineering Chemistry, S. S. Dara, S. Chand and Company 94
  • 3 "Energy Resources: Conventional & Non-Conventional" by R. K. Rajput
  • 4 Engineering Chemistry, O. G. Palana, Tata McGraw Hill Publication
  • 5 Environmental Chemistry, A. K. De, Tenth edition, New Age International,

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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