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.
More info

Teaching Assistant(s)

Nilavjyoti Sarmah

P.hD

Masruddin

P.hD

Hirakjyoti Basumatary

P.hD

 Course Duration : Jul-Oct 2019

  View Course

 Enrollment : 15-May-2019 to 05-Aug-2019

 Exam registration : 01-Jun-2019 to 30-Sep-2019

 Exam Date : 16-Nov-2019

Enrolled

7397

Registered

710

Certificate Eligible

440

Certified Category Count

Gold

3

Silver

58

Elite

190

Successfully completed

189

Participation

193

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

SANIDHYA SWAPNIL SANJAY SINGH 95%

COLLEGE OF ENGINEERING PUNE

BONU SATISH KUMAR 90%

LENDI INSTITUTE OF ENGINEERING & TECHNOLOGY

NAMBI NARAYANAN M 90%

COIMBATORE INSTITUTE OF TECHNOLOGY

SHUBHAM KAILAS NIRGUDE 88%

COLLEGE OF ENGINEERING PUNE

VARSHA PATIL 88%

SIESGST


Top 2 % of Certified Candidates

PATEL SAAD ABDUL WAHID 87%

KJS EDUCATIONAL INSTITUTE, TRINITY COLLEGE OF ENGINEERING AND RESEARCH, PUNE

BHAVIT JAIN 87%

COLLEGE OF ENGINEERING PUNE

ADITYA DESHMUKH 87%

DR. VISHWANATH KARAD MIT WORLD PEACE UNIVERSITY, PUNE

SHIJU GEORGE 87%

AMAL JYOTHI COLLEGE OF ENGINEERING


Top 5 % of Certified Candidates

ASWIN B 86%

PSG COLLEGE OF TECHNOLOGY

APURV PATIL 85%

COLLEGE OF ENGINEERING PUNE

VINAY KUMAR PANDEY 84%

BHEL

VIGNESH T 84%

UNIVERSITY OF MADRAS

SURAJ PRAKASHBHAI PADIA 83%

BIRLA VISHVAKARMA MAHAVIDYALAYA ENGINEERING COLLEGE

MAANAS AGRAWAL 83%

COLLEGE OF ENGINEERING PUNE

SATYABRAT BEHERA 83%

INDIAN INSTITUTE OF TECHNOLOGY,ROORKEE

ARUNACHALAM V 83%

SASTRA DEEMED TO BE UNIVERSITY

SOUMYA KANTI GHOSH 82%

L&T TECHNOLOGY SERVICES

S.PRAVEEN RAJ 82%

MUTHAYAMMAL ENGINEERING COLLEGE

SANNIDHI ALEKHYA 82%

VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING &TECHNOLOGY

ANKUSH PRATAP SINGH 82%

INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY, SHIBPUR

LOKESH BOTCHA 82%

LENDI INSTITUTE OF ENGINEERING & TECHNOLOGY

Enrollment Statistics

Total Enrollment: -1

Data Not Found..!
Data Not Found..!

Registration Statistics

Total Registration : 710

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.