Course Name: Fundamentals Of Artificial Intelligence

Course abstract

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


Course Instructor

Media Object

Prof. Shyamanta M. Hazarika

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.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Dec 2020

  View Course

 Enrollment : 20-May-2020 to 21-Sep-2020

 Exam registration : 14-Sep-2020 to 02-Nov-2020

 Exam Date : 19-Dec-2020

Enrolled

12872

Registered

666

Certificate Eligible

437

Certified Category Count

Gold

18

Silver

115

Elite

180

Successfully completed

124

Participation

92

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Fundamentals Of Artificial Intelligence - Toppers list
Top 1 % of Certified Candidates

RAJU SHARMA 95%

National Institute of Electronics and Information Technology(NIELIT)

PRANAV KELKAR 95%

COLLEGE OF ENGINEERING PUNE

NIVISHNA V 93%

SRI RAMAKRISHNA ENGINEERING COLLEGE

BADAM SAI VENKATA TARUN 93%

SASTRA DEEMED TO BE UNIVERSITY


Top 2 % of Certified Candidates

MANOJ KAMAT 91%

RASHTRIYA RAKSHA UNIVERSITY

BOLLEPALLI ALEKHYA 91%

SASTRA DEEMED TO BE UNIVERSITY

KIRAN TEJA REDDY P S 91%

SASTRA DEEMED TO BE UNIVERSITY

SAYAN PAUL 91%

RASHTRIYA ISPAT NIGAM LIMITED

KALHAN KOUL 91%

COLLEGE OF ENGINEERING PUNE

KARTIK KARAMBELKAR 91%

MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE


Top 5 % of Certified Candidates

MALARVIZHI A 90%

VINAYAKA MISSIONS KIRUPANANDA VARIYAR ENGINEERING COLLEGE

ARATHI P 90%

DR. AMBEDKAR INSTITUTE OF TECHNOLOGY

SHARANYA RAMKUMAR 90%

Ramaiah Institute of Technology

SUSHIL KUMAR SAHOO 90%

INDIRA GANDHI INSTITUTE OF TECHNOLOGY, SARANG

KANAMARLAPUDI VENKATESH 90%

SASTRA DEEMED TO BE UNIVERSITY

TEZAN SAHU 90%

Indian Institute of Technology,Bombay

GAYATRI VINAYAK PADOLE 90%

J D COLLEGE OF ENGINEERING & MANAGEMENT

RAMNATH PRABHU BAM 90%

Indian Institute of Technology,Goa

KODAMANCHILI S S S B SUSHMA MILINDA 88%

University College of Engineering, JNTUK, Kakinada

ASISH KUMAR MOHAPATRA 88%

POWERGRID CORPORATION OF INDIA LTD.

KESHETTI SREEKALA 88%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

PANDEY SHIVANGI RAJNARAYAN 88%

Pillai College of Arts, Commerce and Science

ROHIT LAKRA 88%

JHARKHAND RAI UNIVERSITY

Enrollment Statistics

Total Enrollment: 12872

Registration Statistics

Total Registration : 663

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.