Numerical Methods and Statistical Analysis for Chemical Engineering
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Follow on Instagram for UpdatesNumerical Methods and Statistical Analysis for Chemical Engineering Syllabus — Unit-wise Content
The official GTU curriculum for Numerical Methods and Statistical Analysis for Chemical Engineering (subject code 2713007) as prescribed for CE · Semester 1 divides the course into 8 units, covering 31 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 (2713007)Unit 1 Approximations and Errors
- Types of Errors
- Significant figures
- Accuracy of Numbers
- Error Propagation
Unit 2 Solution of Non Linear Algebraic Equations
- Bracketing Methods (Bisection
- Method of False Position or Regula Falsi
- etc.) and Newton- Raphson Method
Unit 3 Solution of Linear Algebraic Equations
- Matrix inversion
- Gauss Elimination
- Gauss-Jordan Method
- Gauss- Seidel Iteration Method
Unit 4 Interpolation & Curve Fitting
- Method of Least Squares
- Linear and Polynomial Regression
- Lagrange Interpolating Polynomials
- Spline Interpolation
- Cubic Spline
Unit 5 Numerical Integration
- Newton-Cotes Integration Formulas
- Trapezoidal Rule and Simpson’s Rules
Unit 6 Ordinary Differential Equations
- Euler’s Method
- Modifications and Improvements in Euler’s Method
- Runge-Kutta Methods
- Boundary Value Problems
- Shooting method
Unit 7 Partial Differential Equations
- Elliptic (Explicit method-finite difference) 6 11
Unit 8 Probability and Statistics
- Probability Distributions
- Random Variables
- Sampling Distributions
- Confidence Interval
- Stochastic Processes
- Standard Deviation
- Variance, etc
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