munotes®
Sign in
Home / Syllabus / B.E. (Artificial Intelligence and Data Science) / FY BE AI and DS / Semester 1 / Applied Chemistry

B.E. (Artificial Intelligence and Data Science) Applied Chemistry Syllabus - Mumbai University

This is the FY BE AI and DS syllabus under NEP 2020, in force from the academic year 2024-25. The third and fourth years of this degree are still taught on the earlier CBCS REV-2019 'C' Scheme, because the University has published no NEP syllabus for Semesters V to VIII of any engineering branch.

Applied Chemistry.pdf
Semester 1 · FY BE AI and DS · NEP 2020

Loading syllabus...

Syllabus for Applied Chemistry

Semester 1 · FY BE AI and DS · NEP 2020

Module I: Fuels and Combustion 04 hours

  • A) cFuel: - Definition, Characteristics of good fuel. B) Calorific value (Definition, Types, Determination, Dulong's formula, Numerical) C) Coal: - Analysis of coal – Proximate analysis, Ultimate analysis, Numerical) D) Combustion of coal – Numerical

Module II: Corrosion 04 hours

  • A) Introduction: - Definition, Types of Corrosion – i) Dry or Atmospheric Corrosion, ii) Wet or Electrochemical corrosion (In Acidic medium, In Neutral medium) B) Factors affecting rate of corrosion:- i) Position of metal in galvanic series, ii) Purity of Metal, iii) Nature of Corrosion product, iv) Temperature, v) pH of medium, vi) concentration of medium, vii) moisture, viii) Relative Cathodic and Anodic area, ix) overvoltage C) Methods to control corrosion: - i) Selection of metal, ii) Proper Designing, iii) Cathodic protection, iv) Use of Corrosion Inhibitors, v) Metallic Coating D) Corrosion in Electronic devices

Module III: Alloys 04 hours

  • A) Purpose of making alloys. B) i) Gibbs Phase rule – Statement, Terms involved with examples. ii) Reduced phase rule, Two-component system (Pb-Ag) & Numerical. iii) Merits and Limitations of Phase rule.

Module IV: Introductio n to Polymers 05 hours

  • A) Macro-molecular science, basic concept of polymers, Chemical bonding in polymers, Classification of Polymers. B) Properties of Polymers:- i) Molecular weight -Number average molecular weight, Weight average molecular weight, Numerical, ii) Crystallinity - Crystalline and amorphous polymers – Glass transition temperature, iii) Mechanical Properties: Hardness, tensile strength, creep, fatigue, impact resistance (introduction), iv) Electrical properties: dielectric strength, insulation resistance, surface resistivity (Introduction), v) Optical properties: refractive index, transmittance, photoelectric property, colour

Module V: Introductio n to Composites 04 hours

  • A) Definition, Characteristics of Composites, B) Constituents of Composites – Matrix Phase and Dispersed Phase (Definition and Functions)
  • C) Classification of Composites

Module VI: Green Chemistry for sustainable developmen t 05 hours

  • A) Comparative study of synthesis of following industrially important molecules by conventional and green route:- i) Indigo dye, ii) Adipic acid, iii) Carbaryl B) Green Solvents: - characteristics and applications of Supercritical solvents and ionic liquids C) Green Fuels:- Synthesis and Advantages of i) Biodiesel, ii) Ethanol

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 Green Chemistry: V. K. Ahluwalia

Online References

  • Sr. No. Website Name
  • 1 https://archive.nptel.ac.in/courses/103/106/105106205/
  • 2 https://courses.nptel.ac.in/noc20_ch41/preview

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 7.7 (R-A), under NEP 2020, in force from the academic year 2024-25. 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
Report or request
Done!