Numerical methods for Computer Engineering
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Follow on Instagram for UpdatesNumerical methods for Computer Engineering Syllabus — Unit-wise Content
The official GTU curriculum for Numerical methods for Computer Engineering (subject code 2710210) as prescribed for IT · Semester 1 divides the course into 7 units, covering 42 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 (2710210)Unit 1 Modeling, Computers and error analysis
- Mathematical modeling and engineering problem solving
- Role of computers and software
- Approximations and errors
- Significant figures
- accuracy and precision
- round-off and truncation errors
- error propagation
Unit 2 Roots of Equations
- Mathematical background
- Regula Falsi
- NR method
- Successive approximation method
- Budan’s Theorem
- Barristow’s method
- case studies
Unit 3 Systems of linear algebraic equations
- Mathematical background
- Gauss elimination
- pitfalls and techniques for improvement
- matrix inversion and Gauss-Seidel methods
- III Conditional equations
- Predictor-Corrector methods
- case studies
Unit 4 Curve Fitting
- Mathematical background
- Least squares linear and polynomial regression
- Lagrange interpolating polynomials
- Spline interpolation
- Case studies
Unit 5 Numerical Integration
- Newton-Cotes integration formulas
- trapezoidal rule and Simpson’s rules: Interpolation
- case studies. 4 15
Unit 6 Ordinary differential equations
- Euler’s method
- Runge-Kutta methods
- General methods for boundary value problems
- Automatic error monitoring and change of step size stability of solution
- Case studies
Unit 7 Statistical Methods
- Frequency distributions
- Data analysis
- Expectations and moments
- Co- relation and regression
- Trend analysis
- Seasonal effects
- Cyclical fluctuation
- Moving average, MSE, Predictions
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