17:16

Calculating the vibrational density of states from a molecular dynamics simulation

16:17

Calculating the autocorrelation function from a molecular dynamics simulation

21:52

Calculating partition functions from the Hessian matrix.

17:14

Running molecular dynamics simulations with ASE

13:51

Estimating the radial distribution function using molecular dynamics

07:16

Analysing the molecular dynamics trajectories that are generated by ASE

07:58

Using symmetry functions to analyse molecular dynamics trajectories

16:03

The behaviour of the susceptibility when systems cross a (finite sized) phase boundary

10:06

The 2D Ising model Hamiltonian

03:19

Using 2D NumPy arrays to represent the state of a 2D Ising model

10:29

Langevin dynamics in python

09:24

The velocity Verlet algorithm

09:04

Calculating the density of states

14:28

Generating all the states for a system of spins (statistical mechanics)

04:31

Calculating partition functions with python (statistical mechanics)

05:08

Calculating lattice hamiltonians with python

15:56

Queuing network simulations with queueing tool

13:27

Using queuing tool

05:28

Discrete event simulation

13:58

Estimating the stationary distribution for an M/M/1 queue by sampling

12:59

Writing python programs to sample Markov chains

11:10

Calculating the hitting times and hitting probabilities for a Markov chain using NumPy

09:40

Calculating hitting probabilities for Markov chains via sampling.

09:38

Estimating the stationary distribution for a Markov chain by sampling

05:22

Calculating hitting times for Markov chains by sampling

06:06

Using logic in python programs

04:00

Estimating transition probabilities for Markov chains by sampling

03:44

Using python to do arithmetic

05:05

Reporting how the result of an experiment depends on a parameter that you control.

04:46

How to write a Python program to calculate a summation

10:29

Weighted means with random weights

07:50

Weighted means

09:49

Understanding the effect of the density of states on the average energy

10:19

Weighted histograms

06:10

Histograms and maximum likelihood

07:48

Quantum harmonic oscillator

05:56

Classical Harmonic Oscillator

09:05

An introduction to Bayesian statistics

12:39

An introduction to correlation

04:07

An introduction to non-linear correlation

05:10

An introduction to the joint probability density function

05:24

Sampling a joint probability mass function

07:12

An introduction to the joint probability mass function

03:26

An introduction to pairs of random variables

05:52

Planning and reviewing your work

11:59

Some advice on studying mathematics effectively

04:12

An introduction to recursion

04:59

An introduction to lists in python

07:16

Calculating confidence limits for histograms using the central limit theorem

13:36

Evaluating confidence limits on averages using the central limit theorem

06:20

The maximum likelihood estimator for the normal random variable

11:16

The expectation and variance for the normal random variable

03:34

An introduction to the central limit theorem

05:46

Estimating the errors in estimates of probability density functions by resampling

12:22

Estimating the probability density function by calculating a histogram

11:05

How to calculate error bars on a histogram by resampling

08:22

An introduction to resampling and reproducibility

07:28

How to generate uniform discrete random variables

04:50

A brief introduction to the Jupyter notebook system

21:44

Estimating the parameters of distributions using maximum likelihood.