Practical

Paper Code: 
CMAT 514
Credits: 
2
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to -

  1. Demonstrate the operations on vectors and matrices.
  2. Create and run scripts M-file using the software MATLAB, for numerical computation of the fundamental arithmetic operations.
  3. Understand different numerical methods to obtain approximate solutions to mathematical problems. 
  4. Solve numerical integrations with the help of software, and represent the solutions algebraically and graphically.

Course Outcomes (COs):

 Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Course Code

Course Title

CMAT 514

 

 

 

 

 

Practical

(Practical)

 

 

 

 

The students will be able to –

 

CO81: Create and execute a script and function files.

CO82: Build programs to solve various mathematical problems.

CO83: Solve numeric ODE’s.

CO84: Perform numeric and symbolic integration.

CO85: Demonstrate innovation and creativity in your approach to solve complex problems.

 

 

Approach in teaching:

 

Interactive Lectures, Discussion, Power Point Presentations, Informative videos

 

Learning activities for the students:

Self learning assignments, Effective questions, presentations, Giving tasks

 

 

 

Quiz, Poster Presentations,

Power Point Presentations, Individual and group projects,

Open Book Test, Semester End Examination

 

 

 

 

CONTENTS

Students are required to familiarize themselves with software MATLAB, for numerical computation on the following topics:

  1. Vector, matrix, and array commands.

  2. Construction of a vector with operations on vectors.

  3. Matrix representation and some operations on matrix.

  4. Creating and running script files and function files.

  5. Programme for numerical integration using Trapezoidal rule.

  6. Programme for numerical integration using Simpson's 1/3 rule.

  7. Programme for numerical integration using Simpson's 3/8 rule.

  8. Programme for the numerical solution of the ordinary differential equation using    Euler's method.

  9. Programme for the numerical solution of the ordinary differential equation using Euler's modified method.

  10. Programme for the numerical solution of the ordinary differential equation using the 4th order Runge-Kutta method.

 

Academic Year: 
2023-2024
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