Computer Lab’s documentation for CBCS Undergraduate Physics Major

Hope this documentation will help the students at large and initiate some interest among those who are associated with this part of the syllabus. As it can be seen, with Python and Jupyter Notebook problems can be handled in a very meticulous way and final visualization of graphs is also fantastic.

I shall be happy to hear from you any sort of suggestions which will improve the documentaion. This documentation is still in the preparation stage. So, bibilographic part is missing and it will be included very soon.

Contents:

• Computer Lab - Semester 1
  • Programs
    • Sum and average of a list of numbers
    • Largest of a given list of numbers and its location in the list
    • Sorting of numbers in ascending descending order
    • Binary search
  • Random number generation
    • To determine the value of \(\pi\)
  • Solution of Algebraic and Transcendental equations by Bisection, Newton Raphson and Secant methods
    • Algebric Equations
    • Simultaneous Linear Equations
    • Root finding - Bisection method
    • Root finding - Newton-Raphson method
    • Practical Problems
  • Ordinary Differential Equations
• Computer Lab - Semester 3
  • Solution of Linear system of equations
    • Gauss elimination method
    • Algorithim of Gauss Elimination Method
    • Gauss Siedel Method (Iterative method)
• Computer Lab - Semester 3
  • Solution of ODE
    • Euler’s Method
    • Modified Euler method
    • Runge Kutta Method of Second Order
    • Runge Kutta Method of 4th Order
  • First order Differential equations
    • Radioactive Decay
    • Newton’s law of cooling
    • Current in RC circuit with DC source
    • Current in LC circuit
    • Laws of motion
    • Application of second order differential equation
• Computer Lab - Semester 4
  • Solve Differential Equation
    • 1(a) Solve
    • 1(b) Solve
    • 1(c) Solve
    • 1(d) Solve
  • Dirac Delta Function
  • Fourier Series
  • Fourier Series
  • Legendre’s Polynomial
  • Bessel’s function
  • Trigonometric functions
  • Complex analysis
    • By Numerical approach using function from SciPy
    • By using analytical approach using SymPy
  • Roots of a complex number
• Computer Lab Semester - 5
  • Problem - 1
  • Time independent Scrodinger equation
  • Problem - 2
  • Problem 3
  • Problem 4

Indices and tables

• Index

• Module Index

• Search Page