Fundamentals Of Artificial Intelligence

By Prof. Shyamanta M Hazarika   |   IIT Guwahati
Learners enrolled: 7399

What does automatic scheduling or autonomous driving have in common with web search, speech recognition, and machine translation? These are complex real-world problems that span across various practices of engineering! Aim of artificial intelligence (AI) is to tackle these problems with rigorous mathematical tools. The objective of this course is to present an overview of the principles and practices of AI to address such complex real-world problems. The course is designed to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods of AI.

INTENDED AUDIENCE: Final Year B.Tech; M.Tech and PhD
PREREQUISITES:          Basic Course in Probability and Linear Algebra
Course Status : Completed
Course Type : Elective
Duration : 12 weeks
Start Date : 29 Jul 2019
End Date : 18 Oct 2019
Exam Date : 16 Nov 2019 IST
Category :
  • Mechanical Engineering
Credit Points : 3
Level : Postgraduate

Page Visits

Course layout

Week 1:    AI and Problem Solving by Search
Week 2:    Problem Solving by Search
Week 3:    Problem Solving by Search
Week 4:    Knowledge Representation and Reasoning
Week 5:    Knowledge Representation and Reasoning
Week 6:    Knowledge Representation and Reasoning
Week 7:    Reasoning under Uncertainty
Week 8:    Planning
Week 9:    Planning and Decision Making 
Week 10:  Machine Learning
Week 11:  Machine Learning
Week 12:  Machine Learning

Books and references

  1. Patrick Henry Winston, Artificial Intelligence, Third Edition, Addison-Wesley Publishing Company, 2004. 
  2. Nils J Nilsson, Principles of Artificial Intelligence, Illustrated Reprint Edition, Springer Heidelberg, 2014.
  3. Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 3rd Edition, PHI 2009. 
  4. Nils J. Nilsson, Quest for Artificial Intelligence, First Edition, Cambridge University Press, 2010. 

Instructor bio

Prof. Shyamanta M Hazarika is with the Department of Mechanical Engineering at Indian Institute of Technology Guwahati, Assam, India. Prof. Hazarika have an M.Tech in Robotics from IIT Kanpur. He has been awarded PhD from School of Computing, University of Leeds, England where he worked under the supervision of Prof. Anthony G Cohn. From October 2009 to March 2010, he has been a Vertretungsprofessur (Substitute `Full' Professor) of Cognitive Systems & NeuroInformatics, FB3 - Informatik, University of Bremen, Germany. His primary research interest is in Rehabilitation Robotics and Knowledge Representation and Reasoning. This translates into interest in bio-mimetic prosthetics; cognition and cognitive vision. From August 2010 to May 2017, he was a Professor in the Department of Computer Science & Engineering at Tezpur University, wherein he had es tablished the Biomimetic and Cognitive Robotics Lab. He have been part of European Science Foundation's COST Action IC0903 MOVE: Knowledge Discovery from Moving Objects. As member of Working Group 1, the emphasis was on development of appropriate `ontology' for identification of motion patterns from massive amounts of data generated by location-aware devices. More recently on a DST-UKIERI Project he had worked with Prof. John Q Gan, University of Essex, England on a Brain Controlled Wheelchair.

Course certificate

  • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
  • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
  • Date and Time of Exams: 16 November 2019, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
  • Registration url: Announcements will be made when the registration form is open for registrations.
  • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
  • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

  • Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course. 
  • Exam score = 75% of the proctored certification exam score out of 100
  • Final score = Average assignment score + Exam score

  • If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
  • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Guwahati. It will be e-verifiable at nptel.ac.in/noc.
  • Only the e-certificate will be made available. Hard copies are being discontinued from July 2019 semester and will not be dispatched

MHRD logo Swayam logo


Goto google play store