Computational Tools in Chemical Engineering
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Follow on Instagram for UpdatesComputational Tools in Chemical Engineering Syllabus — Unit-wise Content
The official GTU curriculum for Computational Tools in Chemical Engineering (subject code ME02072051) as prescribed for CAPD · Semester 2 divides the course into 7 units, covering 28 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME02072051)Unit 1 Introduction to Computational Tools
- Overview of computational tools in chemical engineering
- Introduction to MATLAB/Scilab
- Python and DWSIM for chemical engineering applications
Unit 2 Basics of MATLAB/Scilab and Excel
- Basic features
- writing codes
- plotting and presentation of results
- goal seek
- curve fitting etc
Unit 3 Application of MATLAB/Scilab and Excel to chemical engineering
- problems: Analysis of frictional losses in pipe flows
- steady-state analysis of diabatic operation of a CSTR
- analysis of multicomponent distillation
- analysis of steady-state heat conduction in a one-dimensional rod etc
Unit 4 Basics of Python language
- Basic syntax
- data types, and control structures
- Introduction to the Python Standard Library etc
Unit 5 Application of Python to chemical engineering problems
- Python for stoichiometry and thermodynamics calculations
- problems of reaction kinetics
- heat transfer and mass transfer operations
Unit 6 Fundamentals of Artificial Intelligence (AI) and Machine Learning
- (ML) in Chemical Engineering: Introduction to AI and ML
- semi-supervised learning
- Overview of software tools used in AI & ML for solving problems in chemical engineering
Unit 7 Simulation in DWSIM/Aspen Plus
- Introduction to DWSIM/Aspen Plus
- Shortcut and Rigorous Distillation
- Simulation of reactors (CSTR, PFR, Gibbs
- Shell and Tube Heat Exchanger
- Binary Phase Envelope (Txy, Pxy, xy plots)
- Calculation of Dew points and Bubble points
- Sensitivity Analysis
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