Learning Outcomes |
Learning and teaching strategies |
Assessment |
---|---|---|
After the completion of the course the students will be able to: CLO51- Develop programs in SCILAB
CLO52- Evaluate, analyze and plot results.
CLO53- Perform mathematical Modelling in SCILAB
CLO54-Good understanding of Linear algebra and Signal processing concepts
|
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration, Team teaching
Learning activities for the students: Self learning assignments, Effective questions, Simulation, Seminar presentation, Giving tasks, Field practical
|
Presentations /demonstrations by individual student/ group of three students
Class tests at periodic intervals.
Written/Online assignment(s) Semester End Examination |
Students are required to familiarize themselves with programming in MATLAB/C/ MATHEMATICA, for numerical computation. The department will decide the topic of practical at the beginning of the session. Few topics are given below for reference. (Application problems are to be taken).
MATLAB- High
performance numeric computation and visualization software.
MATHEMATICA- Stephen Wolfram , Cambridge.