Lecturer:

Reza Ejtehadi

Room:

Phys 3

Time:

Saturdays 13:00  14:30
Mondays 13:00  14:30




Marking:

Homework and Projects

50%

Final Exam

50%

Syllabus:
Stochastic
methods

Fractals and
Scaling
Surface deposition
Aggregations
Percolation
Random walk
Monte Carlo Integration
Random generators
Monte Carlo simulation (Metropolis Algorithm)



Deterministic
methods

Ordinary
differential equations
Particles trajectory
Oscillatory motion
Chaotic Dynamics
Molecular Dynamics simulations of Many Body systems (NVE)
NVT and NPT Molecular Dynamics
Discontinuous Molecular Dynamics (DMD)


Suggested text books

Computational Physics,

Nicholas J. Giordano

An Introduction to Computer
Simulation Methods Applications to Physical System,

Jan Tobochnik

Computer Simulation Methods in
Theoretical Physics,

Dieter W. Heermann

A Guide to Monte Carlo Simulations in
Statistical Physics,

David P Landau, Kurt Binder

Fractal Concepts in Surface Growth,

AlbertLaszlo Barabasi, Harry Eugene Stanley

Introduction to percolation Theory,

Dietrich Stauffer

Measure, Topology, and Fractal Geometry,

Gerald Edgar

An introduction to computational
physics

Tao Pang


Lecture Notes (in Persian)

Part1 (Introduction)
MONTE
CARLO SIMULATIONS
Part2 (Fractals)
Part3 (Surface growth)
Part4 (Percolation)
Part5 (Random Walk)
Part6 (Random Generators)
Part7 (Monte Carlo Method  Integrals)
Part8 (Monte Carlo Method – Metropolis)
Part9 (NVT Simulations)
Part10 (Ising
Model)
MOLECULAR
DYNAMICS SIMULATIONS
Part11 (First order
differential equations)
Part12 (Second order
differential equations)
Part13 (Chaos)
Part14 (MD)

Homework and projects
(Due
time for all homework is One week, unless it is mentioned else)
compphys@physics.....
MD
Questions (All Questions of the second part of the class)


Bonus projects
(Due time
for all Bonus project is the date of final exam)
compphys@physics.....
B1 (LeonardJones Gas)
B2 (SelfAvoiding
Random Walk)


