Numerical Methods in Chemical Engineering
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Follow on Instagram for UpdatesNumerical Methods in Chemical Engineering Syllabus — Unit-wise Content
The official GTU curriculum for Numerical Methods in Chemical Engineering (subject code ME01072031) as prescribed for CE(A · Semester 1 divides the course into 9 units, covering 54 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 (ME01072031)Unit 1 Interpretation of Engineering Data
- Classification of measurements
- Types of Errors
- Significant figures
- Accuracy of Numbers
- Error Propagation Variance andDistribution of Random Errors
Unit 2 Solution of Non Linear Algebraic Equations
- Basic properties of equations
- Bisection method
- Method of False Position
- Secant method
- Mullers method
- Newton- Raphson Method
- Comparison ofmethods
Unit 3 Solution of Linear Algebraic Equations
- Cramer’s rule
- Matrix inversion
- Gauss Elimination
- Academic Year: 2024-25 Semester: 1st Semester Category of the Course: PEC Program Name: Master of Engineering Level: PG Branch: Computer Aided Process Design Course / Subject Code:ME01072031 Course / Subject Name : Numerical Methods in Chemical Engineering Method
- Gauss-Seidel Iteration Method
- Factorization method
- Ill- conditioned equations
- Comparison of methods
Unit 4 Empirical Laws & Curve Fitting
- Method of Least Squares
- Fitting of linear equation
- Fitting of non- linear equation
- Method of group averages
- Method of moments
Unit 5 Finite differences and Interpolation
- backward and central difference formula
- Newtons forward and backward interpolation formula
- Gauss’s forward and backward interpolation formula
- Lagranges interpolation formula
- Spline Interpolation
- Cubic Spline
Unit 6 Numerical Integration
- Newton-Cotes Integration Formulas
- Trapezoidal Rule and Simpson’s Rules
- Gaussian integration
Unit 7 Ordinary Differential Equations
- Euler’s Method
- Modifications and Improvements in Euler’s Method
- Runge- Kutta Methods
- Boundary Value Problems
- Shooting method
Unit 8 Partial Differential Equations
- Solution of Parabolic
- Elliptic equations
- Solution of Laplace and Poissons equation
Unit 9 Introduction to Programming
- Analytic and algorithmic solutions Excel Fundamentals: Interface
- Entering and formatting data
- Entering and formatting formulas
- Built-in functions
- Performing logical tests using IF statement
- Paython Fundamentals: Interface
- Representation of numbers
- Variables and basic data structure
- Branching statements
- MATLAB fundamentals: Interface
- Script and Function files
- One and two dimensional arrays
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