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B.E. (Artificial Intelligence and Data Science) Introduction to Computational Chemistry Lab Syllabus - Mumbai University 2026

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.

Introduction to Computational Chemistry Lab.pdf
Semester 2 · FY BE AI and DS · NEP 2020

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Syllabus for Introduction to Computational Chemistry Lab

Semester 2 · FY BE AI and DS · NEP 2020

List of Experiments.

  • 01 Introduction to key software packages (e.g., Gaussian, GAMESS) 1 LO1
  • 02 Setting up and running basic calculations 1 LO2
  • 03 Interpreting output files 1 LO3
  • 04 Fundamentals of Molecular interaction 1 LO4
  • 05 Fundamentals of Chemical reaction 1 LO5
  • 06 Prediction of molecular structure 1 LO6 Sr No List of Assignments / Tutorials Hrs
  • 01 Research and summarize three key applications of computational chemistry in different fields (e.g., drug design, material science, environmental chemistry). 2
  • 02 Derive and explain the significance of the Schrödinger equation. 1
  • 03 Define force fields and list their main components (bond stretching, angle bending, torsional interactions, non-bonded interactions). 1
  • 04 Draw a simple PES for a diatomic molecule by hand or using a graphing software. Label the critical points (minima, maxima, saddle points). 1
  • 05 Download and install a molecular visualization software (e.g., Avogadro, VMD). Use the software to build and optimize the geometry of a small organic molecule (e.g., ethanol).Take screenshots of the optimized structure and include them in a report. Describe the process you followed and discuss any changes in bond lengths or angles observed during optimization. 2
  • 06 Follow a tutorial to perform a simple MD simulation of a water box using 2 online resources or an introductory MD software package.

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
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