Course: Artificial Intelligence

- Books
- Audio Channel
- Online Courses
- Introduction of AI
  AI is the branch of computer science; which deals with building intelligent agents(System), which can be able o solve the problem, and evolve by themselves.
  Agenda:
  
  Natural intelligence
  What is AI
  Major AI areas.
  History of AI
- Lecture #2:Intelligent Agents
  Intelligent Agents
  Agent and environments
  Rationality
  PEAS(performance, measure , environment, actuators, sensors)
  An intelligent agent is a program or software which perceives(or observes or senses) its environment through sensors, thinks intelligently and act upon that environment through its actuators
- Intelligent Agent Types
  ◦Simple reflex agent
  
  ◦Model based reflex agent
  
  ◦Goal based agent
  
  ◦Utility Based Agents
  
  ◦Learning agents
- Problem solving through uninformed search
  Breadth First Search (BFS)
  Depth First search (DFS)
  Difference between BFS and DFS
- Problem solving through informed search
  Heuristically informed method
  Hill Climbing
  Beam Search
- Expert System
  Introduction to Expert Systems
  knowledge base expert system their type and application
  Working of expert system with its different components
  Typical example. It benefits, the downside
  Developing an expert system. Identifying the problem
- Artificial Neural Network (ANN)
  Introduction to Artificial Neural Network (ANN)
  ANN application
  Topologies of ANN
  Single Layer perception (SLP) Back pro algorithms
  multilayer perception (mlp) Back pro algorithms
  Neural Network
  implementation for AND, OR, XOR
  Back Prop algorithm: Multilayer Perception, back prop algorithm
  Neural Network: implementation for AND, OR, XOR
- Genetic Algorithm (GA)
  Introduction to evolutionary computing GA.
  Application of GA and its examples
  Genetic operators (Crosse over and Mutation) and its applications
  GA Pseudo Code example
- Particle Swarm Optimization (PSO)
  Introduction to Swarm Intelligence (SI) , PSO
  PSO Pseudocode and example
- Pattern Recognition
  Machine Learning: Introduction to learning: Supervised learning
  Machine Learning: Unsupervised Learning, K-means Clustering algorithm
- Advance topic
  Advance topic in AI
- Matlab
  Basic AI concepts in MATLAB
  MATLAB Toolbox relevant to AI
  Practical work in MATLAB