Available courses

Data Acquisition Experiments using ExpEYES

In this course, one shall learn how to perform data acquisition experiments using sensors.

The following experiments shall be covered:

  1. Mass spring system
  2. Simple pendulum
  3. Forced oscillator
  4. Coupled oscillator
  5. Double pendulum


Model Based Simulations using Scilab

In this course, models shall be set up to simulate

  1. Freely falling object with and without resistance
  2. Projectile motion with and without resistance
  3. Simple, Damped and Forced oscillators
  4. Coupled oscillations
  5. Double pendulum

Virtual Experiments using Tracker

This course will discuss the following experiments:

  1. Freely falling object
  2. Uniform motion
  3. Projectile motion
  4. Uniform circular motion
  5. Mass-spring system
  6. Simple pendulum
  7. Physical pendulum
  8. Coupled pendulum
  9. Double pendulum
  10. Moment of Inertia of a Flywheel

Computers and Physics

This course shall deal with

  1. Installation of Free Open Source Software (FOSS)
  2. Programming tips
  3. Numerical methods to do computer simulations
  4. Massive Open Online Courses (MOOCs)

Programming in Scilab

This course teaches how to write simple codes in Scilab such as

  1. Fourier superposition of waves
  2. Formation of Beats
  3. Constructive and destructive interference
  4. Plotting various potentials
  5. Fourier transform of Gaussian function

Statistical Physics for UG

This course discusses the following activities and simulations for teaching concepts of

  • micro-state,
  • macro-state,
  • multiplicity,
  • thermodynamic limit,
  • steady-state equilibrium
  • micro-canonical, canonical and grand-canonical ensembles
  • Boltzmann distribution
  • entropy

Electromagnetism experiments

Electronics experiments

Digital and analog electronics courses

PER Resources

Modeling Theory and Modeling Instruction

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This course shall be sharing and developing resources for modeling theory and modeling instruction of the following courses to begin with :

  • Mechanics
  • Thermodynamics
  • Statistical Physics and
  • Quantum Physics

Quantum Physics Simulations

This course shall cover quantum physics simulations using Gnumeric and Scilab/Python

  1. Central divided difference
  2. Numerov method
  3. Matrix method
  4. Crank-Nicholson method
  5. Variational Monte-Carlo

Nuclear Physics Experiments

This course demonstrates experiments in nuclear physics

  1. Alpha spectrum of 212Bi
  2. Half life of 212Bi
  3. Gamma spectrum of 230Th
  4. Gamma-Gamma coincidence in Na

Nuclear Physics Activities and Simulations

In this course, the following activities and simulations are discussed:

  1. Radioactive decay
  2. Binding energy curve
  3. Coulomb co-efficient from mirror nuclei
  4. Mass parabolas
  5. Liquid drop model coefficients using least squares minimization
  6. Numerical simulation of Shell model using Woods-Saxon potential