intro. Introduction: What to Expect from AI. Introduction: History of AI from 40s - 90s. Introduction: History of AI in the 90s. Introduction: History of AI in NASA & DARPA(2000s). Introduction: The Present State of AI. Introduction: Definition of AI Dictionary Meaning. Introduction: Definition of AI Thinking VS Acting and Humanly VS Rationally. Introduction: Definition of AI Rational Agent View of AI. Introduction: Examples Tasks, Phases of AI & Course Plan. Uniform Search: Notion of a State. Uniformed Search: Search Problem and Examples Part-2. Uniformed Search: Basic Search Strategies Part-3. Uniformed Search: Iterative Deepening DFS Part-4. Uniformed Search: Bidirectional Search Part-5. Informed Search: Best First Search Part-1. Informed Search: Greedy Best First Search and A* Search Part-2. Informed Search: Analysis of A* Algorithm Part-3. Informed Search Proof of optimality of A* Part-4. Informed Search: Iterative Deepening A* and Depth First Branch & Bound Part-5. Informed Search: Admissible Heuristics and Domain Relaxation Part-6. Informed Search: Pattern Database Heuristics Part-7. Local Search: Satisfaction Vs Optimization Part-1. Local Search: The Example of N-Queens Part-2. Local Search: Hill Climbing Part-3. Local Search: Drawbacks of Hill Climbing Part-4. Local Search: of Hill Climbing With random Walk & Random Restart Part-5. Local Search: Hill Climbing With Simulated Anealing Part-6. Local Search: Local Beam Search and Genetic Algorithms Part-7. Adversarial Search : Minimax Algorithm for two player games. Adversarial Search : An Example of Minimax Search. Adversarial Search : Alpha Beta Pruning. Adversarial Search : Analysis of Alpha Beta Pruning. Adversarial Search : Analysis of Alpha Beta Pruning (contd...). Adversarial Search : Horizon Effect, Game Databases & Other Ideas. Adversarial Search: Summary and Other Games. Constraint Satisfaction Problems: Representation of the atomic state. Constraint Satisfaction Problems: Map coloring and other examples of CSP. Constraint Satisfaction Problems: Backtracking Search. Constraint Satisfaction Problems: Variable and Value Ordering in Backtracking Search. Constraint Satisfaction Problems: Inference for detecting failures early. Constraint Satisfaction Problems: Exploiting problem structure. Logic in AI : Different Knowledge Representation systems - Part 1. Logic in AI : Syntax - Part - 2. Logic in AI : Semantics - Part - 3. Logic in AI : Forward Chaining - Part 4. Logic in AI : Resolution - Part - 5. Logic in AI : Reduction to Satisfiability Problems - Part - 6. Logic in AI : SAT Solvers : DPLL Algorithm - Part - 7. Logic in AI : Sat Solvers: WalkSAT Algorithm - Part - 8. Uncertainty in AI: Motivation. Uncertainty in AI: Basics of Probability. Uncertainty in AI: Conditional Independence & Bayes Rule. Bayesian Networks: Syntax. Bayesian Networks: Factoriziation. Bayesian Networks: Conditional Independences and d-Separation. Bayesian Networks: Inference using Variable Elimination. Bayesian Networks: Reducing 3-SAT to Bayes Net. Bayesian Networks: Rejection Sampling. Bayesian Networks: Likelihood Weighting. Bayesian Networks: MCMC with Gibbs Sampling. Bayesian Networks: Maximum Likelihood Learning". Bayesian Networks: Maximum a-Posteriori LearningÂ. Bayesian Networks: Bayesian Learning. Bayesian Networks: Structure Learning and Expectation Maximization. Introduction, Part 10: Agents and Environments. mod10lec66. mod10lec67. mod10lec68. mod10lec69. mod10lec68. mod10lec70. mod10lec71. mod10lec72. mod10lec73. mod10lec74. mod10lec75. mod11lec76. mod11lec77. mod11lec78. mod11lec79. mod11lec80. mod11lec81. mod11lec82. mod11lec83. mod12lec84. mod12lec85. mod12lec86. mod12lec87. mod12lec88. mod12lec89. mod12lec90. mod12lec91. mod12lec92. mod12lec93. mod12lec94. mod12lec95. mod12lec96.