Numerical Techniques and Statistical Methods (2141703)  

5
Credit
3 + 2 + 0
Lect + Tuto + Pract
Teaching Scheme
70 + 20 + 10
ESE + PA + ALA
Theory Marks
30 + 0 + 20
ESE + OEP + PA
Practical Marks
ESE - End Semester Examination, PA - Progress Assessment, ALA - Active Learning Assignments, OEP -Open Ended Problem


Prerequisite
  1. Solution of quadratic equations and conditions for types of roots.
  2. Basic factorization.
Rationale

This subject deals with common numerical techniques widely used in engineering applications and some of the statistical methods

Course Outcome

After learning the course, student should be able to decide which numerical method is appropriate to resolve his/her technical problems and how to interpret solution obtained.

  • One must be able to understand which probability distribution is applicable to the set-up of field of interest or to the design of experiment.
  • Students must be able to realize goodness of fit of various distributions.
  • Students must be able to check various research claims.
  • Student must be able to have vision about utility & necessity of Numerical Methods and Statistical Methods in field work.

Active Learning

Preparation of power-point slides, which include videos, animations, pictures, graphics for better understanding theory and practical work – The faculty will allocate chapters/ parts of chapters to groups of students so that the entire syllabus to be covered. The power-point slides should be put up on the web-site of the College/ Institute, along with the names of the students of the group, the name of the faculty, Department and College on the first slide. The best three works should submit to GTU.