Published on Mathematics (https://maths.iisuniv.ac.in)

Introduction to MATLAB [1]

Paper Code:

25SMAT601

Credits:

Contact Hours:

60.00

Max. Marks:

100.00

Objective:

This course will enable the students to -

Familiarize with Matlab software for numerical computation of the fundamental arithmetic operations.
Compute the fundamental concepts of Higher mathematics
Enhance Problem-Solving skills through programming using loops.
Produce and interpret 2D and 3D graphs in various co-ordinate systems.
Compute problems of numerical differentiation and integration.

Course Outcomes:

Course	Learning outcomes (at course level)	Learning and teaching strategies	Assessment Strategies
Course Code	Course Title
25SMAT 601	Introduction to MATLAB (Practical)	CO1: Articulate the relevance of theoretical concepts to the practical work conducted, demonstrating the understanding of the subject matter. CO2: Apply their knowledge and skills acquired to perform effectively, analyse the task and draw meaningful conclusions. CO3: Maintain accurate and detailed practical records, including observations, calculations, programming and interpretations. CO4: Enhance their communication skills by effectively presenting and defending their practical work. CO5: Contribute effectively in course-specific interaction.	Approach in teaching: Interactive Lectures, Power Point Presentations, Informative videos Learning activities for the students: Self-learning assignments, Effective questions, Solving tasks	Quiz, Individual and group projects, Viva, Practical File, Semester End Examination

Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Course Code

Course Title

25SMAT

601

Introduction to MATLAB

(Practical)

CO1: Articulate the relevance of theoretical concepts to the practical work conducted, demonstrating the understanding of the subject matter.

CO2: Apply their knowledge and skills acquired to perform effectively, analyse the task and draw meaningful conclusions.

CO3: Maintain accurate and detailed practical records, including observations, calculations, programming and interpretations.

CO4: Enhance their communication skills by effectively presenting and defending their practical work.

CO5: Contribute effectively in course-specific interaction.

Approach in teaching:

Interactive Lectures, Power Point Presentations, Informative videos

Learning activities for the students:

Self-learning assignments, Effective questions, Solving tasks

Quiz, Individual and group projects, Viva, Practical File, Semester End Examination

Unit I:

Getting Started, Vectors and matrices:

12.00

Versions, Typing in the command window, Using MATLAB as a calculator. Creating MATLAB variables, Use of Built-in functions, Arithmetic, Algebra, Symbolic Expressions. Entering a vector, Entering a matrix, Matrix indexing, Colon operator, Linear spacing, Creating a sub-matrix, Deleting row or column, Transposing a matrix, Concatenating matrices, Matrix generators, Special matrices, Array operations, Solving linear equations.

Unit II:

Introduction to programming in MATLAB

12.00

M-File Scripts, M-File functions, Input to a script file, Output commands, If-else, while and for loops. Programmes for addition/subtraction/multiplication of numbers, Programmes for different serieses of real numbers. Programme for finding area and volume, Velocity, acceleration and Workdone.

Unit III:

Basic plotting

12.00

creating simple plots, Adding titles, Axis labels and legend to graph. Specifying line styles and colors, Plot multiple graphs. 3D graph plotting, Scaling and coloring and line styles in 3D graphs, Add title axis labels and legends to graph.

Unit IV:

Programmes for Numerical Integration

12.00

Basic integration in matlab, Programme for numerical integration using Trapezoidal rule, Simpson's 1/3 rule and Simpson's 3/8 rule.

Unit V:

Programmes for Numerical Differentiation

12.00

Basic differentiation, Programme for numerical solution of ordinary differential equations using Euler's method, Euler's Modified method, Runge-Kutta method of 2nd order, 3rd order and 4th.

References:

Brian R. Hunt Ronald L. Lipsman Jonathan M. Rosenberg, A Guide to MATLAB: for Beginners and Experienced Users, Cambridge University Press, New York, 2001.
David Houcque, INTRODUCTION TO MATLAB FOR ENGINEERING STUDENTS, Northwestern University, 2005.
C. B. Moler. Numerical Computing with MATLAB. Siam, 2004.
D. J. Higham and N. J. Higham. MATLAB Guide. Siam, second edition edition, 2005.

e- RESOURCES

Scheme of Evaluation for Continuous Assessment Time Duration: 90 minutes
Test	Practical Record	Viva Voce	Attendance	Total
10	10	05	05	30
Students need to attempt any 2 out of 4 questions from first two units, each question carry 5 marks

Scheme of Evaluation for Continuous Assessment

Time Duration: 90 minutes

Test

Practical Record

Viva Voce

Attendance

Total

Students need to attempt any 2 out of 4 questions from first two units, each question carry 5 marks

Scheme of Evaluation for Semester End Examination Time Duration: 3 hrs.
Conduction	Practical Record	Viva-voce	Total
50	10	10	70
10 questions with internal choice, each question carry 5 marks

Scheme of Evaluation for

Semester End Examination

Time Duration: 3 hrs.

Conduction

Practical Record

Viva-voce

Total

10 questions with internal choice, each question carry 5 marks

Academic Year:

2025-2026 [4]

Source URL: https://maths.iisuniv.ac.in/node/1448

Links:
[1] https://maths.iisuniv.ac.in/node/1448
[2] https://nptel.ac.in/courses/103106118
[3] https://nptel.ac.in/courses/111102137
[4] https://maths.iisuniv.ac.in/academic-year/2025-2026