Numerical and Statistical Methods for Civil Engineering (2140606)  

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

The students are required to have a reasonable mastery over calculus, Differential equations and Linear algebra and introductory knowledge of probability and statistics.

Rationale

Mathematics is a language of Science and Engineering.

Course Outcome

After learning the course the students should be able to :

  1. Understand and apply the basic concepts of probability, random variables, probability distribution.
  2. Use statistical methodology and tools in the engineering problem solving process.
  3. Compute and interpret descriptive statistics using numerical and graphical techniques
  4. Understand the basic concepts of regression and curve fitting
  5. Calculate finite differences of tabulated data.
  6. use numerical methods to find integration and differentiation
  7. find an approximate solution of algebraic equations using appropriate method.
  8. find an approximate solution of ordinary differential equations using appropriate iterative method.

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.