PRACTICAL
Paper Code:
MAT 403
Credits:
2
Contact Hours:
60.00
Max. Marks:
100.00
Objective:
This course will enable the students to -
- Familiarize with software SCILAB, for numerical computation of the fundamental arithmetic operations.
- Demonstrate algebraic facility with algebraic topics including linear, quadratic, exponential, logarithmic, and trigonometric functions.
- Produce and interpret graphs of solutions of some numerical problems.
- 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 |
|
|---|---|---|---|---|
|
Paper Code |
Paper Title |
|||
|
MAT 403 |
Practical (Practical)
|
The students will be able to –
CO51: Develop programs in SCILAB
CO52: Evaluate, analyze and plot results.
CO53: Perform mathematical Modelling in SCILAB.
CO54: 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.
References:
Academic Year:
