Lecture 1 - Introduction and review

Lecture 2 - Review (Continued...)

Lecture 3 - Need for analysis

Lecture 4 - Additional Thermodynamic Functions

Lecture 5 - State and Path Variables

Lecture 6 - Equations for a Closed System

Lecture 7 - Chemical Potential

Lecture 8 - Gibbs Duhem equation

Lecture 9 - Maxwell’s relations

Lecture 10 - Inter-relationships between thermodynamic variables (Continued...)

Lecture 11 - Some useful mathematical manipulations

Lecture 12 - Thermodynamic relations for a closed system with 1 mole of pure substance

Lecture 13 - Maximum work

Lecture 14 - Open systems

Lecture 15 - Equations of state - Virial equations

Lecture 16 - Equations of state - Cubic equations

Lecture 17 - Volume estimation

Lecture 18 - Volume estimation (Continued...)

Lecture 19 - Generalized correlations

Lecture 20 - Generalized correlations (Continued...)

Lecture 21 - Residual properties

Lecture 22 - Residual properties (Continued...)

Lecture 23 - Generalized correlations and residual properties

Lecture 24 - Fugacity coefficient estimation

Lecture 25 - Review of module 3

Lecture 26 - Learning aspects

Lecture 27 - Chemical potential formulations

Lecture 28 - Lewis and Randall rule

Lecture 29 - Partial molar properties

Lecture 30 - Partial molar property estimation from mixing experiments

Lecture 31 - Partial molar property estimation (Continued...)

Lecture 32 - Activity coefficient from excess property

Lecture 33 - Activity coefficient from excess property (Continued...)

Lecture 34 - Models for activity coefficient in a binary system

Lecture 35 - Models for activity coefficient for a binary system (Continued...)

Lecture 36 - Review of module 4

Lecture 37 - Criteria for phase equilibrium

Lecture 38 - Phase rule for non-reacting systems

Lecture 39 - Clausius Clayperon equation

Lecture 40 - Clausius Clayperon equation (Continued...)

Lecture 41 - Vapour liquid equilibrium

Lecture 42 - Vapour liquid equilibrium (Continued...)

Lecture 43 - Estimation of fugacity coefficient from P-V-T data at equilibrium

Lecture 44 - Liquid-liquid and solid-liquid equilibria

Lecture 45 - Review of module 5

Lecture 46 - Criteria for bioreaction equilibria

Lecture 47 - Phase rule for reacting biosystems

Lecture 48 - Equilibrium constants

Lecture 49 - Effect of temperature on the equilibrium constants

Lecture 50 - Reaction in liquid or solid phases

Lecture 51 - Free energy changes for some bioreactions

Lecture 52 - Electrolytes

Lecture 53 - Review of the classical thermodynamics part

Lecture 54 - Introduction to Statistical thermodynamics

Lecture 55 - Concepts of macro and microstates

Lecture 56 - Thermodynamic probability

Lecture 57 - Boltzmann distribution law

Lecture 58 - Defining β in Boltzmann distribution law

Lecture 59 - Relationship between partition function and thermodynamic quantities

Lecture 60 - Partition function of mono atomic gases

Lecture 61 - Entropy in terms of probablity

Lecture 62 - Gibbs paradox

Lecture 63 - Thermodynamic probability for distinguishable particles

Lecture 64 - Thermodynamic probability for indistinguishable particles

Lecture 65 - Sackur - Tetrode equation

Lecture 66 - Partition function and Helmholtz and Gibbs free energy

Lecture 67 - Ensemble approach

Lecture 68 - Ensemble average, time average, Ergodic hypothesis

Lecture 69 - Partition function for classical systems

Lecture 70 - Pair potentials for atomic systems

Lecture 71 - Potential for molecular systems

Lecture 72 - Computer code for LJ potential

Lecture 73 - Introduction to computer simulations

Lecture 74 - Computer simulations of macromolecules

Lecture 75 - MD simulation examples

Lecture 76 - Link between theory and experiments

Lecture 77 - MD protocol

Lecture 78 - Computer simulation tricks

Lecture 79 - Understanding force fields

Lecture 80 - Idea of Z-matrix

Lecture 81 - Basics of MD simulations

Lecture 82 - Integration algorithms

Lecture 83 - Calculation of Columbic force

Lecture 84 - Calculation of LJ force

Lecture 85 - Monte Carlo simulations

Lecture 86 - Analysis of MD trajectory

Lecture 87 - Case study (water)