Numerical Methods and Programming detailed syllabus scheme for B.Tech Electrical Engineering (EE), 2018-19 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For all other DBATU Syllabus for Electrical Engineering 4th Sem 2018-19, do visit EE 4th Sem 2018-19 Onwards Scheme. The detailed syllabus scheme for numerical methods and programming is as follows.
Numerical Methods and Programming Syllabus for Electrical Engineering (EE) 2nd Year 4th Sem 2018-19 DBATU
Pre-requisite:
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Course Outcomes:
- To study and understand MATLAB programming.
- To review mathematical concepts
- To develop computer program for linear and nonlinear equations.
Unit 1
Introduction to MATLAB Programming: Array operations , Loops and execution control Lecture . Working with files: Scripts and Functions , Plotting and program output
Unit 2
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Unit 3
Numerical Differentiation and Integration: Methods of numerical differentiation and integration, trade-off between truncation and round-off errors, error propagation and MATLAB functions for integration
Unit 4
Linear and Nonlinear Equations: numerical methods in linear algebra, and use of MATLAB to solve practical problems. Gauss Elimination ,LU decomposition and partial pivoting, Iterative methods: Gauss Siedel and Special Matrices: Tri-diagonal matrix algorithm, Nonlinear equations: NewtonRaphson method and MATLAB routines fzero and fsolve., Nonlinear equations in single variable , MATLAB function fzero in single variable, Fixed-point iteration in single variable , Newton-Raphson in single variable , MATLAB function fsolve in single and multiple variables, Newton-Raphson in multiple variab
Unit 5
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Unit 6
Ordinary Differential Equations (ODE) – 1 Explicit ODE solving techniques in single variable, Introduction to ODEs; Implicit and explicit Eulers methods, Second-Order Runge-Kutta Methods, Higher order Runge-Kutta methods, Error analysis of Runge-Kutta method. Stiff ODEs and MATLAB ode15s algorithm ,Practical example for ODE-IVP ,Solving transient PDE using Method of Lines
Reference Book:
- Fausett L.V. (2007) Applied Numerical Analysis Using MATLAB, 2nd Ed., and Pearson Education.
- Chapra S.C. and Canale R.P. (2006) Numerical Methods for Engineers, 5th Ed., and McGraw Hill.
- NPTEL notes. http://nptel.ac.in/courses/122106033/
For detail syllabus of all other subjects of Electrical Engineering (EE) 4th Sem 2018-19 regulation, visit EE 4th Sem Subjects syllabus for 2018-19 regulation.