Faculty Name: Mrs. Disha Roshan Bhakta

Designation: Assistant Professor

Department of Information Technology

Subject: Artificial Intelligent[USIT504

Programme: B.Sc. IT

Class : Third Year(B.Sc.IT)

Sem – V

• Video Lecture 1
  Subject Name: Artificial Intelligence
  Topic: Introduction to Artificial Intelligence –Part 1
  Description: The video lecture describes the about the definitions of Artificial Intelligence, Turing test and Foundations of Artificial Intelligence which are the branches of Artificial Intelligence which are connected.
  Link:https://youtu.be/zfj4jK3kwA0
• Video Lecture 2
  Subject Name: Artificial Intelligence
  Topic: Introduction to Artificial Intelligence –Part 2
  Description: The video lecture helps to understand the brief on history of Artificial Intelligence and the State of Art of AI Applications
  Link:https://youtu.be/5JJ_-4lHFrg
• Video Lecture 3
  Subject Name: Artificial Intelligence
  Topic: Intelligent Agents
  Description:The video lecture describes the concept Intelligent Agents, Rational Behavior, concept of PEAS
  Link:https://youtu.be/LTaCvM8ebi4
• Video Lecture 4
  Subject Name: Nature of Environment
  Topic: Introduction to Artificial Intelligence – Part 2
  The video lecture explains about different types of Environment which may be faced by an Artificial Intelligent agent and also discuss about the perspectives of how the concept of percepts and actions correlates to each other in different scenarios
  Link:https://youtu.be/hKjwD2o7uxM
• Video Lecture 5
  Subject Name: Artificial Intelligence
  Topic: PEAS andits examples
  Description:The video lecture explains the concept of PEAS that is Performance Measure, Environment, Actuators and Sensors with taking examples of various working AI agents and also discusses on the types of environment they will have!!
  Link:https://youtu.be/eA7DMjGIE_w
• Video Lecture 6
  Subject Name: Artificial Intelligence
  Topic: Types of Agent –Part 1
  Description:The video lecture describes about the structure of agent and their core components also it discusses the model for the very first and simplest agent type that is Simple Reflex Agent and also how the table driven approach is used
  Link:https://youtu.be/x5xDmz9q-7c
• Video Lecture 7
  Subject Name: Artificial Intelligence
  Topic: Types of Agent –Part 2
  Description:The video lecture covers in brief about the different types of agents like Model Based, Goal Based and Utility Based with their working model
  Link:https://youtu.be/RKRMxoOok7w
• Video Lecture 8
  Subject Name: Artificial Intelligence
  Topic: Problem Solving Agents
  Description:The video lecture tries to explain some mandatory concepts on Problem solving agents like goal, search, solution, well defined problems and certain examples to understand with those concepts!!
  Link:https://youtu.be/K7HHp8GSCzc
• Video Lecture 9
  Subject Name: Artificial Intelligence
  Topic: Search Problems
  Description:The video lecture discuss about general search strategies like Tree Search and Graph Search and other requirement for searching by Artificial Intelligent Agent!!
  Link:https://youtu.be/4iiJzg-3r14
• Video Lecture 10
  Subject Name: Artificial Intelligence
  Topic: Uninformed Search –Breadth First Search
  Description:The video lecture starts with fundamentals and the most important concept of AI that is searching... it explains the basics of uninformed search and takes the very first example of uninformed search as Breadth First Search
  Link:https://youtu.be/z_OfJ5ejOOI
• Video Lecture 11
  Subject Name: Artificial Intelligence
  Topic: Uninformed Search –Depth First Search
  Description:The videolectureexplains another basic uninformed search strategy that is Depth First Search with an example of graph.The major difference between BFS and DFS is in the pattern in which they explore their successor nodes either in graph, tree, state space or game tree.
  Link:https://youtu.be/cZokog9RrL4
• Video Lecture 12
  Subject Name: Artificial Intelligence
  Topic: Uninformed Search – Bidirectional Search
  Description:The video lecture is a continuation to uninformed search techniques. It discusses about and efficient search mechanism which is bidirectional search , a search where a two search runs parallel one from forward and one from backward !! Also at the end comparative study is discussed among various search techniques.
  Link:https://youtu.be/l1sfonG-qqw
• Video Lecture 13
  Subject Name: Artificial Intelligence
  Topic: Uninformed Search –Uniform Cost Search
  Description:The video lecture summarizes the uninformed search techniques and discusses the last uniformed search technique which is Uniform Cost Search and also gives certain examples of State Spaces.
  Link:https://youtu.be/L1jVtVWDlIA
• Video Lecture 14
  Subject Name: Artificial Intelligence
  Topic: Heuristics and Informed Search –A* basics
  Description:This video lecture describes about the concept of heuristics which is very important and fundamental concept for searching. It talksabout informed search and basics of A* Search Algorithm.
  Link:https://youtu.be/7yMbEWzx98w
• Video Lecture 15
  Subject Name: Artificial Intelligence
  Topic: Informed Search – A* Algorithm
  Description: This video lecture describes about the details of A* search taking an example of graph with the values of cost and heuristics and also the steps of algorithm.
  Link: https://youtu.be/_x1fgdIpKYA
• Video Lecture 16
  Subject Name: Artificial Intelligence
  Topic: Local Search
  Description: This video lecture describes in depth about local search and also compares it the other search techniques namely uninformed and informed. It also gives a glimpse of Hill Climbing which is taken in detail in next lecture.
  https://youtu.be/u23-rt7lRMs
• Video Lecture 17
  Subject Name: Artificial Intelligence
  Topic: Hill Climbing Search Part - 1
  Description: This video lecture covers some important area with respect to Hill Climbing search such as state space, regions and details of simple hill climbing.
  Link: https://youtu.be/GdkpVcSY00o
• Video Lecture 18
  Subject Name: Artificial Intelligence
  Topic: Hill Climbing Search Part - 2
  Description: This video lecture discusses the limitations of hill climbing search and also the details of steepest ascent hill climbing which another variation is to hill climbing search.
  Link: https://youtu.be/DmU4Mu1TvwE
• Video Lecture 19
  Subject Name: Artificial Intelligence
  Topic: Simulated Annealing Search
  Description: This video lecture explains the concept of Stochastic Hill climbing, revised the concepts of local search and explains the Simulated Annealing Search in depth with algorithm.
  Link: https://youtu.be/oKol6Akr72s
• Video Lecture 19
  Subject Name: Artificial Intelligence
  Topic: Simulated Annealing Search
  Description: This video lecture explains the concept of Stochastic Hill climbing, revised the concepts of local search and explains the Simulated Annealing Search in depth with algorithm.
  Link: https://youtu.be/oKol6Akr72s
• Video Lecture 20
  Subject Name: Artificial Intelligence
  Topic: Genetic Algorithm – Local Search
  Description: This video lecture explains the terminologies related to Genetic in general and how the concept is apt in artificial agent search where the idea is to find a better state that previous.
  Link: https://youtu.be/y6tdD2oXVQo
• Video Lecture 21
  Subject Name: Artificial Intelligence
  Topic: Searching – Non Deterministic Actions
  Description: This video lecture explains how searching will happen in non-deterministic domains, and also in environments which are sensor less.
  Link: https://youtu.be/XANPl6d4ES8
• Video Lecture 22
  Subject Name: Artificial Intelligence
  Topic: Beyond Classical Search
  Description: This video lecture explains the concept of searching in partially observable domains and the strategies to deal with the solutions.
  Link: https://youtu.be/DCCIIogaJaU
• Video Lecture 23
  Subject Name: Artificial Intelligence
  Topic: Online Search Agents
  Description: This video lecture explains the concept of Online Search Problems and how a recursive DFS can work in that domain.
  Link: https://youtu.be/RGHi3xHjAuY
• Video Lecture 24
  Subject Name: Artificial Intelligence
  Topic: Adversarial Search – Part 1
  Description: This video lecture covers the introduction of Search in Game Playing, concepts of MINIMAX and optimal decisions in game playing
  Link: https://youtu.be/ISIXUPiewRo
• Video Lecture 25
  Subject Name: Artificial Intelligence
  Topic: Adversarial Search – Part 2
  Description: This video lecture covers details of stochastic games and strategies, discusses a popular stochastic game Backgammon
  Link: https://youtu.be/V3KzNXdCuqY
• Video Lecture 26
  ubject Name: Artificial Intelligence
  Topic: Adversarial Search – Part 3
  Description: This video lecture discusses different gaming scenarios of partially observable domain and also some state of art gaming applications
  Link: https://youtu.be/cS5yJtfJ650