Artificial Intelligence with. Prof. Sudeshna Sarkar

Course Description

In this course, Professor Sudeshna Sarkar and Professor Anupam Basu, Department of Computer Science & Engineering of the Indian Institute of Technology - Kharagpur, give an introduction to the concepts of Artificial Intelligence, such as Intelligent Agents, State Space Search, Informed and Uninformed Search, Two Players Games, Knowledge Representation, Interface in Propositional Logic, First Order Logic, Reasoning, Rule Based Systems, Semantic Net, Frames, Planning, Fuzzy Reasoning, Natural Language Processing and many more.

The original name for this course is: Computer Sc - Artificial Intelligence. This course has 40 video lectures on Artificial Intelligence, by Professor Sudeshna Sarkar and Professor Anupam Basu, Computer Science & Engineering, I.I.T, Kharagpur (NPTEL).

Artificial Intelligence with. Prof. Sudeshna Sarkar
Professor Sudeshna Sarkar in Lecture 17: Rule Based Systems II.
2 ratings

Video Lectures & Study Materials

Visit the official course website for more study materials: http://nptel.ac.in/syllabus/syllabus.php?subjectId=106105077

# Lecture Play Lecture
1 Introduction to Artificial Intelligence (57:31) Play Video
2 Intelligent Agents (56:12) Play Video
3 State Space Search (59:01) Play Video
4 Uninformed Search (59:58) Play Video
5 Informed Search I (59:59) Play Video
6 Informed Search II (54:52) Play Video
7 Two Players Games I (58:25) Play Video
8 Two Players Games II (56:39) Play Video
9 Constraint Satisfaction Problems I (52:48) Play Video
10 Constraint Satisfaction Problems II (53:05) Play Video
11 Knowledge Representation and Logic (56:59) Play Video
12 Interface in Propositional Logic (52:46) Play Video
13 First Order Logic (55:19) Play Video
14 Reasoning Using First Order Logic (59:20) Play Video
15 Resolution in FOPL (59:03) Play Video
16 Rule Based System (57:18) Play Video
17 Rule Based Systems II (56:31) Play Video
18 Semantic Net (57:05) Play Video
19 Reasoning in Semantic Net (56:41) Play Video
20 Frames (59:52) Play Video
21 Planning I (51:58) Play Video
22 Planning II (55:38) Play Video
23 Planning III (54:03) Play Video
24 Planning IV (58:38) Play Video
25 Rule Based Expert System (59:31) Play Video
26 Reasoning with Uncertainty I (1:00:55) Play Video
27 Reasoning with Uncertainty II (59:04) Play Video
28 Reasoning with Uncertainty III (58:51) Play Video
29 Reasoning with Uncertainty IV (58:44) Play Video
30 Fuzzy Reasoning I (56:30) Play Video
31 Fuzzy Reasoning II (59:18) Play Video
32 Introduction to Learning I (56:15) Play Video
33 Introduction to Learning II (59:30) Play Video
34 Rule Induction and Decision Trees I (58:25) Play Video
35 Rule Induction and Decision Trees II (56:40) Play Video
36 Leavning Using Neural Networks I (1:00:46) Play Video
37 Learning Using Neural Networks II (48:45) Play Video
38 Probabilistic Learning (59:38) Play Video
39 Natural Language Processing I (57:29) Play Video
40 Natural Language Processing II (56:25) Play Video

Comments

Displaying 7 comments:

Jayashree wrote 10 years ago.
Prof Anupam Basu Sir ur lecturer videos are excellent,its
helping out lot.Thank u so much

kapchoko wrote 11 years ago.
its enriching

praveen kumar wrote 12 years ago.
This is very useful for students

Hima Bindu wrote 12 years ago.
Excellent work, very much useful to the students as well as
for faculty to know how to deliver a good lecture. Many
thanks to the teachers, IITK and MHRD for making this
happen.

gobena wrote 13 years ago.
I have an interested to learn this interesting course

ehsansaano wrote 13 years ago.
This is very help full lecture, specially for beginners.
Great job madam.. :)

Ehsan karim wrote 13 years ago.
This was very help full for me , i l say thanks a lot to
all who make this possible, specially madam. :)

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