This is a video of part of a lecture course in thermal and statistical physics I taught at the Catholic University of Korea in 2013.

This lecture includes:
- definition of a probability space (1:50)
- continuous probability spaces -- probability density (16:50)
- definition of expectation, mean and variance (20:39)

1. Introduction to Thermal and Statistical Physics
2. Measuring Temperature
3. Absolute Zero, Heat Capacity
4. Phase Transitions
5. Heat and Work
6. Heat Cycles
7. More Heat Cycles
8. The Ideal Gas
9. Avagadro's Number and Equipartition Theorem
10. Entropy
11. Entropy and the Second Law
12. Efficiency of Carnot Engine
13. Heat Transfer Mechanisms
14. Drinking Bird
15. Introduction to Probability
16. Joint Probabilities
17. The Normal Distribution
18. Central Limit Theorem
19. Combinatorics
20. Quantum States
21. The Fundamental Postulate
22. The Thermodynamic Limit
23. Two Systems at Equilibrium
24. Statistical Definition of Temperature
25. Ideal Paramagnet I
26. Ideal Paramagnet II
27. The Canonical Ensemble
28. The Canonical Ensemble II
29. Helmholtz Free Energy
30. Non-interacting Distinguishable Particles
31. Ideal Gas: Indistinguishability
32. Ideal Gas: Density of States
33. Ideal Gas: Partition Function
34. Ideal Gas: Summary
35. Combining Excitation Modes
36. Rotational Modes of Diatomic Molecules
37. Vibrational Modes of Diatomic Molecules
38. Heat Capacity of a Diatomic Gas
39. Quantum effects on the rotat

This is a series of undergraduate physics lectures in HD quality on thermal physics and statistical mechanics taught by Prof. Mark Ancliff at the Catholic University of Korea in 2013.