Numerical and Statistical Methods for Computer Engineering (2140706)  

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


Prerequisite

Differentiation, Integration, Matrix operation, Various Mathematical Series, FundamentalMathematics

Rationale

To know about various types of Errors, Calculate the error correction and get actualroot of the equation. Understand different methods of solution of the equations and compare them. Student will be made aware of different numerical and statistical methods which are used in engineering field, with emphasis on how to prepare program for different methods.

Course Outcome

After learning the course the students should be able to:

  1. Solve system of linear equations.
  2. Understand various methods of modeling.
  3. Apply Mathematical Modeling and for Engineering Problem Solving.
  4. Solve Mathematical Equations by various methods.
  5. Find Best Curve fitting for given data.
  6. Apply Numerical Integration.
  7. Solve Differential Equations.
  8. Understand Statistical Methods for Data Analysis and sampling techniques.
  9. Write programs for various numerical and statistical methods

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.