Practical

Paper Code: 
MAT403
Credits: 
2
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to -

  1. Familiarize with software SCILAB, for numerical computation of the fundamental arithmetic operations.
  2. Demonstrate algebraic facility with algebraic topics including linear, quadratic, exponential, logarithmic, and trigonometric functions.
  3. Produce and interpret graphs of solutions of some numerical problems.
  4. Solve numerical differentiation and integrations with the help of software, and represents the solutions algebraically and graphically.

Course Outcomes (COs):

 

 Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Course Code

Course Title

 

 

 

 

 

MAT 403

 

 

 

 

 

 

 

Practical

(Practical)

 

 

 

 

The students will be able to –

 

CO56: Develop programs in SCILAB

 

CO57: Evaluate, analyze and plot results.

 

CO58: Perform mathematical Modelling in SCILAB.

 

CO59: Good understanding of Linear algebra and Signal processing concepts

 

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

 

 

 

 

Students are required to familiarize themselves with software SCILAB, for Numerical

Computation on the following topics:

 

  1. Scripts files and functions files.
  2. Creating and running scripts file.
  3. Creating function-file and use of in-build function files.
  4. Programme for addition/Subtraction of numbers.
  5. Programme for multiplication of numbers.
  6. Programme for addition of squares of (even/odd) numbers.
  7. Solution of Linear programming problems in SCILAB.
  8. Ordinary differentiation and integration.
  9. Programme for differentiation.
  10. Programme for partial differentiation.
  11. Programme for integration.
  12. Programme for numerical integration.
  13. Plotting in Programming.
  14. Programme for numerical solution of ordinary differential equation.
  15. Plotting of results of ODE.

 

Essential Readings: 

Open source of SCILAB: http//:www.scilab.org.

Scilab-6.0.2(64-bit)/Scilab-6.0.2(32-bit)

 

Academic Year: 
2022-2023
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