Mass Transfer Operations -I (English)

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Mass Transfer Operations -I (English)

   Wednesday, October 28, 2026   

Starting a new Lecture Notes Series on Mass Transfer Operations -I

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Lecture 1: Mass Transfer Operations -I

Lecture 2: Lec 1: Introduction and Overview of Mass Transfer Operation

Lecture 3: Lec 2: Molecular and Eddy Diffusion, Diffusion Velocities and Fluxes

Lecture 4: Lec 3: Fick's First and Second Law

Lecture 5: Lec 4: Steady State Molecular Diffusion in fluids under stagnant and laminar flow conditions

Lecture 6: Lec 5: Diffusion through variable cross-sectional area

Lecture 7: Lec 6: Gas Phase Diffusion Coefficient measurement

Lecture 8: Lec 7: Gas Phase Diffusion Coefficient prediction and liquid phase diffusion coefficient measurement

Lecture 9: Lec 8: Multicomponent diffusion and diffusivity in solids

Lecture 10: Lec 9: Mass transfer coefficient concept and classifications

Lecture 11: Lec 10: Dimensionless groups and correlations for convective mass transfer coefficients

Lecture 12: Lec 11: Mass transfer coefficient in laminar flow

Lecture 13: Lec 12: Boundary Layer Theory and mass transfer coefficients in turbulent flow

Lecture 14: Lec 13: Mass transfer theories

Lecture 15: Lec 14: Interphase mass transfer

Lecture 16: Lec 15: Interphase mass transfer and material balance for operating line

Lecture 17: Lec 16: Number of ideal stages in counter current operation: graphical and algebraic methods

Lecture 18: Lec 17: Introduction, classification, Sparged and agitated vessels design

Lecture 19: Lec 18: Gas dispersed: Tray tower

Lecture 20: Lec 19: Sieve Tray

Lecture 21: Lec 20: Liquid dispersed: Venture scrubber, wetted wall column, Packed tower

Lecture 22: Lec 21: Introduction to absorption, Equilibrium in gas-liquid system, and minimum liquid rate

Lecture 23: Lec 22: Design of packed column absorber based on the Individual Mass Transfer Coefficient

Lecture 24: Lec 23: Design of packed column absorber based on the Overall Mass Transfer Coefficient

Lecture 25: Lec 24: HETP, Design of packed column absorber for dilute and concentrated gases

Lecture 26: Lec 25: Absorption in plate column: Method of McCabe & Thiele-graphical determination of ideal trays

Lecture 27: Lec 26: Introduction to distillation, binary equilibrium diagrams and concept of relative volatility

Lecture 28: Lec 27: Distillation in non-ideal systems and concept of enthalpy-concentration diagram

Lecture 29: Lec 28: Flash distillation

Lecture 30: Lec 29: Batch and steam distillation

Lecture 31: Lec 30: Continuous multistate fractionation

Lecture 32: Lec 31: Number of trays by McCabe & Thiele for distillation

Lecture 33: Lec 32: Pinch Points and minimum reflux

Lecture 34: Lec 33: Reflux below its bubble point: Sub-cooled reflux and use of open steam

Lecture 35: Lec 34: Multiple feeds, multiple product withdrawal or side streams

Lecture 36: Lec 35: Multistage batch distillation with reflux

Lecture 37: Lec 36: The Ponchon-Savarit method - I

Lecture 38: Lec 37: The Ponchon-Savarit method - II

Lecture 39: Lec 38: Packed Distillation

Lecture 40: Lec 39: Introduction to multicomponent distillation and multicomponent flash distillation

Lecture 41: Lec 40: Minimum stages and minimum reflux in multicomponent distillation

Lecture 42: Lec 41: Multicomponent batch distillation

Mass Transfer Operations II (English)

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Mass Transfer Operations II (English)

   Saturday, October 24, 2026   

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Lecture 1: Mass Transfer Operations II

Lecture 2: Lec 1: Basic concepts, Adiabatic saturation temperature

Lecture 3: Lec 2: Design calculations of cooling tower

Lecture 4: Lec 3: Design of cooling tower

Lecture 5: Lec 4: Design of cooling tower

Lecture 6: Lec 5: Air conditioning, Example problems on dehumidification

Lecture 7: Lec 6: Mechanism of drying and drying equilibria, drying rate curve

Lecture 8: Lec 7: Drying: rate of drying for batch dryers

Lecture 9: Lec 8: Drying: rate of drying for continuous dryers

Lecture 10: Lec 9: Drying time calculation from drying rate curve

Lecture 11: Lec 10: Introduction to liquid-liquid extraction, liquid-liquid equilibria

Lecture 12: Lec 11: Effect of temperature on LLE & Design of single stage extraction

Lecture 13: Lec 12: Design Calculation of Multistage Operation

Lecture 14: Lec 13: Design calculation of multistage cross-current extraction

Lecture 15: Lec 14: Design calculation of multistage counter-current extraction, Selection of extractors

Lecture 16: Lec 15: Leaching: single stage operation

Lecture 17: Lec 16: Leaching: multistage operation

Lecture 18: Lec 17: Supercritical Fluid Extraction, equipmet for leaching

Lecture 19: Lec 18: Fundamentals of membrane separation processes

Lecture 20: Lec 19: Manufacturing of membranes,advantages and limitations

Lecture 21: Lec 20: Various models and applications: design aspects

Lecture 22: Lec 21: Various models and applications: design aspects

Lecture 23: Lec 22: Electric field enhanced membrane separation processes

Lecture 24: Lec 23: Micellar-enhanced ultrafiltration

Lecture 25: Lec 24: Adsorption: types and nature, isotherm

Lecture 26: Lec 25: Stage wise and continuous adsorption

Lecture 27: Lec 26: Fluidized bed and teeter bed

Lecture 28: Lec 27: Unsteady state fixed bed adsorbers, ion exchange

Lecture 29: Lec 28: Crystallization, types of crystal geometry

Lecture 30: Lec 29: Solid-liquid phase equilibrium, Theory of crystallization

Lecture 31: Lec 30: Design of crystallizer, crystallization equipment

Lecture 32: Lec 31: Concluding remarks: Part 1

Lecture 33: Lec 31: Concluding remarks: Part 2

Python for Beginners (Full Course) | #100DaysOfCode Programming Tutorial in Hindi (Part 2)

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Python for Beginners (Full Course) | #100DaysOfCode Programming Tutorial in Hindi (Part 2)

   Friday, October 02, 2026   

Starting a new Lecture Notes Series on Python for Beginners (Full Course) | #100DaysOfCode Programming Tutorial in Hindi

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Lecture 52: Lambda functions in Python | Python Tutorial - Day #52

Lecture 53: Map, Filter and Reduce in Python | Python Tutorial - Day #53

Lecture 54: 'is' vs '==' in Python | Python Tutorial - Day #54

Lecture 55: Exercise 5 - Snake Water Gun | Python Tutorial - Day #55

Lecture 56: Introduction to OOPs in Python | Python Tutorial - Day #56

Lecture 57: Classes and Objects in Python | Python Tutorial - Day #57

Lecture 58: Constructors in Python | Python Tutorial - Day #58

Lecture 59: Decorators in Python | Python Tutorial - Day #59

Lecture 60: Getters and Setters in Python | Python Tutorial - Day #60

Lecture 61: Inheritance in Python | Python Tutorial - Day #61

Lecture 62: Access Modifiers in Python | Python Tutorial - Day #62

Lecture 63: Snake Water Gun Game in Python - Exercise 5 - Solution | Python Tutorial - Day #63

Lecture 64: Exercise 6 - Library Management System in Python | Python Tutorial - Day #64

Lecture 65: Static Methods in Python | Python Tutorial - Day #65

Lecture 66: Instance variables vs Class variables in Python | Python Tutorial - Day #66

Lecture 67: Exercise 6 Solution - Library Management Software in Python | Python Tutorial - Day #67

Lecture 68: Exercise 7 - Clear the Clutter | Python Tutorial - Day #68

Lecture 69: Class Methods in Python | Python Tutorial - Day #69

Lecture 70: Class Methods as Alternative Constructors in Python | Python Tutorial - Day #70

Lecture 71: dir, __dict__ and help method in Python | Python Tutorial - Day #71

Lecture 72: super keyword in Python | Python Tutorial - Day #72

Lecture 73: Magic/Dunder Methods in Python | Python Tutorial - Day #73

Lecture 74: Method Overriding in Python | Python Tutorial - Day #74

Lecture 75: Exercise 7 Solution + Shoutouts | Python Tutorial - Day #75

Lecture 76: Exercise 8 - Merge the PDF | Python Tutorial - Day #76

Lecture 77: Operator Overloading in Python | Python Tutorial - Day #77

Lecture 78: Single Inheritance in Python | Python Tutorial - Day #78

Lecture 79: Multiple Inheritance in Python | Python Tutorial - Day #79

Lecture 80: Multilevel Inheritance in Python | Python Tutorial - Day #80

Lecture 81: Hybrid and Hierarchical Inheritance in Python | Python Tutorial - Day #81

Lecture 82: Exercise 8 - Merge the Pdf Solution in Python | Python Tutorial - Day #82

Lecture 83: Exercise 9 - Shoutouts to Everyone | Python Tutorial - Day #83

Lecture 84: Time Module in Python | Python Tutorial - Day #84

Lecture 85: Creating command line utility in python | Python Tutorial - Day #85

Lecture 86: Walrus Operator in Python | Python Tutorial - Day #86

Lecture 87: Shutil Module in Python | Python Tutorial - Day #87

Lecture 88: Exercise 9: Solution - Shoutouts to Everyone | Python Tutorial - Day #88

Lecture 89: Requests Module in Python | Python Tutorial - Day #89

Lecture 90: Exercise 10: News App in Python | Python Tutorial - Day #90

Lecture 91: Generators in Python | Python Tutorial - Day #91

Lecture 92: Function Caching in Python | Python Tutorial - Day #92

Lecture 93: Exercise 10 - News App Solution & Shoutout | Python Tutorial - Day #93

Lecture 94: Exercise 11 - Drink Water Reminder | Python Tutorial - Day #94

Lecture 95: Regular Expressions in Python | Python Tutorial - Day #95

Lecture 96: AsyncIO in Python | Python Tutorial - Day #96

Lecture 97: Multithreading in Python | Python Tutorial - Day #97

Lecture 98: MultiProcessing in Python | Python Tutorial - Day #98

Lecture 99: Exercise 11: Solution + Shoutouts - Desktop Notification System | Python Tutorial - Day #99

Lecture 100: Conclusion and Where to go from here | Python Tutorial - Day #100

Python for Beginners (Full Course) | #100DaysOfCode Programming Tutorial in Hindi (Part 1)

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Python for Beginners (Full Course) | #100DaysOfCode Programming Tutorial in Hindi (Part 1)

   Friday, October 02, 2026   

Starting a new Lecture Notes Series on Python for Beginners (Full Course) | #100DaysOfCode Programming Tutorial in Hindi

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Lecture 1: Introduction to Programming & Python | Python Tutorial - Day #1

Lecture 2: Some Amazing Python Programs - The Power of Python | Python Tutorial - Day #2

Lecture 3: Modules and Pip | Python Tutorial - Day #3

Lecture 4: Our First Python Program | Python Tutorial - Day #4

Lecture 5: Comments, Escape Sequences & Print Statement | Python Tutorial - Day #5

Lecture 6: Variables and Data Types | Python Tutorial - Day #6

Lecture 7: Exercise 1: Calculator using Python | Python Tutorial - Day #7

Lecture 8: Exercise 1: Calculator using Python (Solution) | Python Tutorial - Day #8

Lecture 9: Typecasting in Python | Python Tutorial - Day #9

Lecture 10: Taking User Input in Python | Python Tutorial - Day #10

Lecture 11: Strings in Python | Python Tutorial - Day #11

Lecture 12: Strings Slicing and Operations on Strings in Python | Python Tutorial - Day #12

Lecture 13: String Methods in Python | Python Tutorial - Day #13

Lecture 14: If Else Conditional Statements in Python | Python Tutorial - Day #14

Lecture 15: Exercise 2: Good Morning Sir | Python Tutorial - Day #15

Lecture 16: Match Case Statements in Python | Python Tutorial - Day #16

Lecture 17: For Loops in Python | Python Tutorial - Day #17

Lecture 18: While Loops in Python | Python Tutorial - Day #18

Lecture 19: break and continue in Python | Python Tutorial - Day #19

Lecture 20: Functions in Python | Python Tutorial - Day #20

Lecture 21: Function Arguments in Python | Python Tutorial - Day #21

Lecture 22: Introduction to Lists in Python | Python Tutorial - Day #22

Lecture 23: List Methods in Python | Python Tutorial - Day #23

Lecture 24: Tuples in Python | Python Tutorial - Day #24

Lecture 25: Operations on Tuples in Python | Python Tutorial - Day #25

Lecture 26: Exercise 2: Solution & Shoutouts | Python Tutorial - Day #26

Lecture 27: Exercise 3: Kaun Banega Crorepati (KBC) | Python Tutorial - Day #27

Lecture 28: f-strings in Python | Python Tutorial - Day #28

Lecture 29: Docstrings in Python | Python Tutorial - Day #29

Lecture 30: Recursion in Python | Python Tutorial - Day #30

Lecture 31: Sets in Python | Python Tutorial - Day #31

Lecture 32: Set Methods in Python | Python Tutorial - Day #32

Lecture 33: Dictionaries in Python | Python Tutorial - Day #33

Lecture 34: Dictionary Methods in Python | Python Tutorial - Day #34

Lecture 35: for Loop with else in Python | Python Tutorial - Day #35

Lecture 36: Exception Handling in Python | Python Tutorial - Day #36

Lecture 37: Finally keyword in Python | Python Tutorial - Day #37

Lecture 38: Raising custom errors in Python | Python Tutorial - Day #38

Lecture 39: Kaun Banega Crorepati: Exercise 3 - Solution & Shoutouts | Python Tutorial - Day #39

Lecture 40: Exercise 4: Secret Code Language | Python Tutorial - Day #40

Lecture 41: Short hand if else statements | Python Tutorial - Day #41

Lecture 42: Enumerate Function in Python | Python Tutorial - Day #42

Lecture 43: Virtual Environment in Python | Python Tutorial - Day #43

Lecture 44: How import works in Python | Python Tutorial - Day #44

Lecture 45: if __name__ == "__main__" in Python | Python Tutorial - Day #45

Lecture 46: os Module in Python | Python Tutorial - Day #46

Lecture 47: Exercise 4: Solutions and Shoutouts | Python Tutorial - Day #47

Lecture 48: Local vs Global Variables in Python| Python Tutorial - Day #48

Lecture 49: File IO in Python | Python Tutorial - Day #49

Lecture 50: read(), readlines() and other methods | Python Tutorial - Day #50

Lecture 51: seek(), tell() and other functions | Python Tutorial - Day #51

Algorithms (English) (Part 3)

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Algorithms (English) (Part 3)

   Thursday, October 01, 2026   

Starting a new Lecture Notes Series on Algorithms

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Lecture 85: 85. GATE 2009 DP Visualized

Lecture 86: 86. Multi Stage Graph Optimization

Lecture 87: 87. Dynamic Programming Essentials

Lecture 88: 88. Visual Bottom Up DP

Lecture 89: 89. The Knapsack Dilemma

Lecture 90: 90. The Greedy Trap

Lecture 91: 91. Knapsack Substructure

Lecture 92: 92. Optimizing the Knapsack

Lecture 93: 93. Bottom Up Knapsack

Lecture 94: 94. Visualizing Knapsack DP

Lecture 95: 95. Solving Subset Sum

Lecture 96: 96. Mapping Subset Sum

Lecture 97: 97. Solving the Traveling Salesman

Lecture 98: 98. Solving the Salesman

Lecture 99: 99. Solving TSP with Dynamic Programming

Lecture 100: 100. Scaling Shortest Paths

Lecture 101: 101. All Pairs Shortest Paths

Lecture 102: 102. Floyd-Warshall Algorithm Visualized | All-Pairs Shortest Path Explained

Lecture 103: 103. DP Matrix Complexity Explained | Time & Space Complexity of Dynamic Programming

Lecture 104: 104. Floyd-Warshall Algorithm Visualized | All-Pairs Shortest Path Explained

Lecture 105: 105. The Limits of Computation Explained What Can Computers Actually Solve

Lecture 106: 106. Algorithmic Boundaries Explained | Understanding the Limits of Algorithms

Lecture 107: 107. When Simple Code Hides Complex Time!

Lecture 108: 108. Optimization to Decision Explained | How Algorithms Choose the Best Solution

Lecture 109: 109. The Logical Mirror: Complement Problems Explained

Lecture 110: 110. How Computers Verify Solutions: Verification Algorithms Explained

Lecture 111: 111. The $1M Computer Mystery: P vs NP Explained

Lecture 112: 112. Polynomial Time Reduction

Lecture 113: 113. Mapping Complexity

Lecture 114: 114. NP Completeness Decoded

Lecture 115: 115. The Direction of Reduction

Lecture 116: 116. Deceptive Complexity

Lecture 117: 117. Complexity Deconstructed

Lecture 118: 118. Decoding NP Logic

Lecture 119: 119. Complexity Truths

Lecture 120: 120. Identifying the NP Hard Outlier

Lecture 121: 121. SH3 NP Completeness

Lecture 122: 122. The NPC Subset

Lecture 123: 122. The NPC Subset

Lecture 124: 124. Decoding NP Logic

Lecture 125: 125. NP Closure

Algorithms (English) (Part 2)

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Algorithms (English) (Part 2)

   Saturday, September 26, 2026   

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Lecture 43: 43. Efficient Union by Size

Lecture 44: 44. Logarithmic Gravity

Lecture 45: 45. The Gravitational Root

Lecture 46: 46. Effectively Constant

Lecture 47: 47. Kruskal’s Algorithm

Lecture 48: 48. Disjoint Set Cycle Detection

Lecture 49: 49. Visualizing Disjoint Sets

Lecture 50: 50. Algorithmic Optimization Paradigms

Lecture 51: 51. Optimal Huffman Compression

Lecture 52: 52. Decoding Huffman

Lecture 53: 53. Optimal Job Sequencing

Lecture 54: 54. Optimal Merge Patterns

Lecture 55: 55. The Network Skeleton

Lecture 56: 56. Visualizing Prim s Algorithm

Lecture 57: 57. Visual Prim s Algorithm

Lecture 58: 58. Optimizing Prim s Algorithm

Lecture 59: 59. Mastering Kruskal s Algorithm

Lecture 60: 60. Dijkstra Visualized

Lecture 61: 61. Decoding Dijkstra

Lecture 62: 62. Dijkstra s Complexity Unlocked

Lecture 63: 63. Dijkstra s Negative Blind Spot

Lecture 64: 64. Dijkstra Unlocked

Lecture 65: 65. Visualizing Bellman Ford

Lecture 66: 66. Bellman Ford Visualized

Lecture 67: 67. Bellman Ford

Lecture 68: 68. The DAG Cheat Code

Lecture 69: 69. Algorithmic Memory

Lecture 70: 70. Matrix Multiplication Costs

Lecture 71: 71. Matrix Chain Optimization

Lecture 72: 72. Matrix Chain Optimization

Lecture 73: 73. Matrix Chain Optimization

Lecture 74: 74. Optimizing Matrix Chains

Lecture 75: 75. Matrix Chain Optimization

Lecture 76: 76. Mastering Memoization

Lecture 77: 77. Optimal Matrix Chain Multiplication

Lecture 78: 78. Longest Common Subsequence

Lecture 79: 79. Visualizing LCS

Lecture 80: 80. LCS Optimization

Lecture 81: 81. Algorithmic Elegance

Lecture 82: 82. LCS Visualized

Lecture 83: 83. LCS Visual Decoder

Lecture 84: 84. Dynamic Programming Visualized

Algorithms (English) (Part 1)

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Algorithms (English) (Part 1)

   Saturday, September 26, 2026   

Starting a new Lecture Notes Series on Algorithms

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Lecture 1: 01. Visualizing Algorithmic Bounds

Lecture 2: 02. Geometries of Scale

Lecture 3: 03. Decoding Recursive Complexity

Lecture 4: 04. Mastering Asymptotic Growth

Lecture 5: 05. Mastering Recurrences

Lecture 6: 06. Memory Architecture

Lecture 7: 07. Amortized Analysis

Lecture 8: 08. Aggregate Analysis

Lecture 9: 09. Amortizing Expansion

Lecture 10: 10. Insertion Sort Mechanics

Lecture 11: 11. Merge Sort Deconstructed

Lecture 12: 12. Quick Sort Deconstructed

Lecture 13: 13. The Quick Sort Paradox

Lecture 14: 14. The Heap

Lecture 15: 15. Max Heap Mastery

Lecture 16: 16. Linear Max Heap Construction

Lecture 17: 17. Max Heap Mechanics

Lecture 18: 18. Visualizing Heap Sort

Lecture 19: 19. Advanced Heap Architecture

Lecture 20: 20. Deconstructing Radix Sort

Lecture 21: 21. Optimized Bubble Sort

Lecture 22: 22. Bucket Sort

Lecture 23: 23. Visual Counting Sort

Lecture 24: 24. Fluid Bubble Sort

Lecture 25: 25. Sorting Complexity Analysis

Lecture 26: 26. Max Heap Visualized

Lecture 27: 27. Max Heap Insertion Visualized

Lecture 28: 28. Max Heap Interchanges

Lecture 29: 29. Max Heap Visualized

Lecture 30: 30. Max Heapify Deconstructed

Lecture 31: 31. Visualizing Radix Sort

Lecture 32: 32. Bubble Sort Geometry

Lecture 33: 33. Binary Search Logic

Lecture 34: 34. Linear Search

Lecture 35: 35. Amortized Disjoint Set Analysis

Lecture 36: 36. Union by Rank Visualized

Lecture 37: 37. Amortized Growth Analysis

Lecture 38: 38. Disjoint Sets

Lecture 39: 39. Disjoint Set Linked Lists

Lecture 40: 40. Linked List Disjoint Sets

Lecture 41: 41. Disjoint Set Amortization

Lecture 42: 41. Disjoint Set Amortization

Genome Editing and Engineering (English)

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Genome Editing and Engineering (English)

   Saturday, September 05, 2026   

Starting a new Lecture Notes Series on Genome Editing and Engineering

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Lecture 1: Genome Editing and Engineering

Lecture 2: Lec 1: Introduction :Genes and Genome Organization

Lecture 3: Lec 2: History and Basics of Genetic Engineering

Lecture 4: Lec 3: Advantages and Limitations of Genetic Engineering

Lecture 5: Lec 4: Breakage of Genomic DNA

Lecture 6: Lec 5: Repair of Genomic DNA

Lecture 7: Lec 6: Homologous and non homologous recombination

Lecture 8: Lec 7: Site specific recombination

Lecture 9: Lec 8: Targeted genetic modification - I

Lecture 10: Lec 9: Targeted genetic modification - II

Lecture 11: Lec 10: Basics of Zinc Finger Nucleases

Lecture 12: Lec 11: Design of Zinc Finger Nucleases for genome editing

Lecture 13: Lec 12: Applications of Zinc Finger Nucleases - PART A

Lecture 14: Lec 13: Applications of Zinc Finger Nucleases - PART B

Lecture 15: Lec 14: Basics of TALEN - PART A

Lecture 16: Lec 15: Basics of TALEN - PART B

Lecture 17: Lec 16: Design of TALEN for genome editing - PART A

Lecture 18: Lec 17: Design of TALEN for genome editing - PART B

Lecture 19: Lec 18: Application of TALEN - Part A

Lecture 20: Lec 19: Application of TALEN - Part B

Lecture 21: Lec 20: CRISPR system in bacteria - Part A

Lecture 22: Lec 21: CRISPR system in bacteria - Part B

Lecture 23: Lec 22: CRISPR/Cas9 in Genome Editing - Part A

Lecture 24: Lec 23: CRISPR/Cas9 in Genome Editing - Part B

Lecture 25: Lec 24: Applications of CRISPR/Cas9 Part A

Lecture 26: Lec 25: Applications of CRISPR/Cas9 Part B

Lecture 27: Lec 26: Computational Resources for CRISPR / Cas - Part A

Lecture 28: Lec 27: Computational Resources for CRISPR / Cas - Part B

Lecture 29: Lec 28: Human cell engineering in diseases : Thalassemia - Part A

Lecture 30: Lec 29: Human cell engineering in diseases : Thalassemia - Part B

Lecture 31: Lec 30: Human cell engineering in diseases : Severe combined immunodeficiency (SCID) - Part A

Lecture 32: Lec 31: Human cell engineering in diseases : Severe combined immunodeficiency (SCID) - Part B

Lecture 33: Lec 32: Human cell engineering in diseases : Hemophilia - Part A

Lecture 34: Lec 33: Human cell engineering in diseases : Hemophilia - Part B

Lecture 35: Lec 34: Animal models - Part A

Lecture 36: Lec 35: Animal models - Part B

Lecture 37: Lec 36: iPSc models - Part A

Lecture 38: Lec 37: iPSc models - Part B

Lecture 39: Lec 38: Cancer disease models - Part A

Lecture 40: Lec 39: Cancer disease models - Part B

Lecture 41: Lec 40: Engineered immune cells for Cancer therapy (I) - Part A

Lecture 42: Lec 41: Engineered immune cells for Cancer therapy (I) - Part B

Lecture 43: Lec 42: Engineered immune cells for Cancer therapy (II) - Part A

Lecture 44: Lec 43: Engineered immune cells for Cancer therapy (II) - Part B

Lecture 45: Lec 44: History and Basics - Part A

Lecture 46: Lec 45: History and Basics - Part B

Lecture 47: Lec 46: Genome editing and personalized therapy

Lecture 48: Lec 47: Bioethics and Biosafety - Part A

Lecture 49: Lec 48: Bioethics and Biosafety - Part B

Lecture 50: Lec 49: Regulatory issues in Genome Editing

Lecture 51: Lec 48: Bioethics and Biosafety - Part B

Applied Statistical Thermodynamics (English)

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Applied Statistical Thermodynamics (English)

   Friday, September 04, 2026   

Starting a new Lecture Notes Series on Applied Statistical Thermodynamics

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Lecture 1: Applied Statistical Thermodynamics

Lecture 2: Lec 1: Introduction to Statistical Thermodynamics

Lecture 3: Lec 2: Postulates and Boltzmann Distribution

Lecture 4: Lec 3: Properties of Canonical Partition Function

Lecture 5: Lec 4: Canonical Partition Function and Thermodynamic Properties

Lecture 6: Lec 5: Thermodynamic Properties of Ideal Monoatomic Gases​

Lecture 7: Lec 6: Monoatomic Gases and Gibbs Entropy Equation

Lecture 8: Lec 7: Energy Fluctuations for Monoatomic Gases

Lecture 9: Lec 8: Partition Function for Diatomic Gases

Lecture 10: Lec 9: Vibrational Partition Function

Lecture 11: Lec 10: Partition Function for Ideal Polyatomic Gas

Lecture 12: Lec 11: Normal Mode Analysis

Lecture 13: Lec 12: Illustrations

Lecture 14: Lec 13: Non-reacting Ideal Gas Mixture

Lecture 15: Lec 14: Chemically Reacting Gas Mixture

Lecture 16: Lec 15: Degree of Ionization of Gas Molecules

Lecture 17: Lec 16: Problems on Ionization of Gas Molecules

Lecture 18: Lec 17: Microcanonical and Grand Canonical Ensemble

Lecture 19: Lec 18: Isobaric Isothermal Ensemble

Lecture 20: Lec 19: Fluctuations in Grand canonical and Isothermal Isobaric Ensembles

Lecture 21: Lec 20: Semi Grand Canonical Ensemble and Comparison of Ensembles

Lecture 22: Lec 21: Problems and Adsorbtion Isotherms

Lecture 23: Lec 22: Virial Equation of State for Polyatomic Molecules

Lecture 24: Lec 23: Virial Equation of State

Lecture 25: Lec 24: Virial Equation of State with Higher Order Terms

Lecture 26: Lec 25: Thermodynamic Properties from Virial Equation of State

Lecture 27: Lec 26: Interaction Potentials for Spherical Molecules

Lecture 28: Lec 28: Engineering Application of Virial Equation of State

Lecture 29: Lec 29: Einstein Model

Lecture 30: Lec 30: Einstein Model (Continued)

Lecture 31: Lec 31: Debye Model

Lecture 32: Lec 32: Sublimation Pressure and Enthalpy of Crystals

Lecture 33: Lec 33: Flory Huggin's Model

Lecture 34: Lec 34: Ising Model

Lecture 35: Lec 35: Radial Distribution Function

Lecture 36: Lec 36: Radial Distribution Function

Lecture 37: Lec 37: Molecular Dynamics Simulations

Lecture 38: Lec 38: Square well Potential and Barker Henderson Pertubation Theory