Mathematics Practical-X
This course will enable the students to -
- Familiarize with software like MATLAB/SCILAB for numerical computation of the fundamental arithmetic operations.
- Compute the fundamental concepts of Higher mathematics
- Enhance Problem-Solving skills through programming in different mathematical software.
- Understand different numerical methods to obtain approximate solutions to mathematical problems.
- Solve numerical integrations with the help of software
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Course |
Learning outcomes (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24CMAT 514 |
Mathematics Practical-X(Practical)
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CO106: Articulate the relevance of theoretical concepts to the practical work conducted, demonstrating the understanding of the subject matter. CO107: Apply their knowledge and skills acquired to effectively perform, analyse the task and draw meaningful conclusions. CO108: Maintain accurate and detailed practical records, including observations, calculations, programming and interpretations. CO109: Enhance their communication skills by effectively presenting and defending their practical work. CO110: Contribute effectively in course-specific interaction. |
Approach in teaching: Interactive Lectures, Discussion, Power Point Presentations, Informative videos
Learning activities for the students: Self learning assignments, Effective questions, presentations, Assigned tasks |
Quiz, Individual and group projects, Semester End Examination
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CONTENTS
Students are required to familiarize themselves with software MATLAB/SCILAB, for numerical computation on the following topics:
- Vector, matrix and array commands.
- Construction of a vector with operations on vectors.
- Matrix representation and some operations on matrix.
- Creating and running script files and function files.
- Programme for numerical integration using Trapezoidal rule.
- Programme for numerical integration using Simpson's 1/3 rule.
- Programme for numerical integration using Simpson's 3/8 rule.
- Programme for the numerical solution of the ordinary differential equation using Euler's method.
- Programme for the numerical solution of the ordinary differential equation using Euler's modified method.
- Programme for the numerical solution of the ordinary differential equation using the 4th order Runge-Kutta method.
- INTRODUCTION TO MATLAB FOR ENGINEERING STUDENTS, David Houcque Northwestern University August 2005
·Introduction to Scilab: For Engineers and Scientists
·A.K. Gupta, Numerical Methods of Using Matlab, Springer.
e- RESOURCES
- https://in.mathworks.com/academia/books/numerical-methods-using-matlab-lindfield.html
- https://27x37.files.wordpress.com/2011/05/mcgraw-hill-numerical-methods-using-matlab.pdf
Scheme of Evaluation forContinuous AssessmentTime Duration: 90 minutes |
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Test |
Practical Record |
Viva Voce |
Attendance |
Total |
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10 |
10 |
05 |
05 |
30 |
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Students need to attempt any 2 out of 4 questions from four topics, each question carry 5 marks |
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Scheme of Evaluation for Semester End Examination Time Duration: 3 hrs. |
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Conduction
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Practical Record |
Viva-voce
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Total |
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40 |
10 |
20 |
70 |
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Students need to attempt any 8 out of 10 questions, each question carry 5 marks |
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