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Practical [1]

Paper Code: 
CMAT 512
Credits: 
2
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to –

  1. Familiarize with software MATLAB, for numerical computation of the fundamental arithmetic
    operations.
  2. Compute the fundamental concepts of single variable and multivariable calculus.
  3. Demonstrate the operations on vectors and matrices.

Course Outcomes (COs):

  Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Course Code

Course

Title

CMAT 512

 

 

Practical

(Practical)

The students will be able to –

CO70: Create and execute a script and function files.

CO71: Build programs to solve various mathematical problems.

CO72: Solve numeric ODE’s.

CO73: Perform numeric and symbolic integration.

CO74: 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. Introduction and syntax to find the distance between two vectors in Matlab.
  2. Types of spaces like null space, product spaces and their examples.
  3. To generate the set of polynomials as an example in vector space.
  4. Examples of linear space and coordinates of vectors with Examples.
  5. Determining linear independence of a set of vectors [2].
  6. Rank of a matrix, Rank with tolerance.
  7. Application to independent chemical reactions, choosing independent reactions.
  8. Basis of a vector space.
  9. Coordinates of vectors.
  10. Operations on vector spaces.

 

Academic Year: 
2023-2024 [3]

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Source URL: https://maths.iisuniv.ac.in/courses/subjects/practical-81

Links:
[1] https://maths.iisuniv.ac.in/courses/subjects/practical-81
[2] http://matlab.cheme.cmu.edu/2011/08/02/determining-linear-independence-of-a-set-of-vectors/
[3] https://maths.iisuniv.ac.in/taxonomy/term/24