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

Shyamanta M Hazarika is a Professor of Mechanical Engineering at IIT Guwahati and leads the Biomimetic Robotics and Artificial Intelligence Lab. His research interest is in Rehabilitation Robotics. This translates into interest in Artificial Intelligence, Biomimetic Robotics and Robotic Neurorehabilitation. Prior to joining IIT Guwahati, he was with the Department of Computer Science and Engineering, Tezpur University. He has been a Vertretungsprofessur of Cognitive Systems and NeuroInformatics, University of Bremen, Germany. Prof. Hazarika holds a B.E. in Mechanical Engineering from Assam Engineering College, Guwahati, India; M.Tech. in Robotics from Center for Robotics, IIT Kanpur, India. He completed his PhD in Artificial Intelligence (Knowledge Representation and Reasoning) from School of Computing, University of Leeds, England.
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jul-Oct 2021
  View Course
 Syllabus
 Enrollment : 20-May-2021 to 02-Aug-2021
 Exam registration : 17-Jun-2021 to 17-Sep-2021
 Exam Date : 23-Oct-2021

Enrolled

12112

Registered

1104

Certificate Eligible

576

Certified Category Count

Gold

7

Silver

94

Elite

228

Successfully completed

247

Participation

374

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
    Note:We have taken best assignment score from both July 2020 and July 2021 courses
Fundamentals Of Artificial Intelligence - Toppers list
Top 1 % of Certified Candidates

DEBABRATA PAUL 92%

Cognizant Technologies Solutions

SHIVALI 91%

DR B R AMBEDKAR NATIONAL INSTITUTE OF TECHNOLOGY JALANDHAR

SAURAV SANDEEP PATWARDHAN 91%

COLLEGE OF ENGINEERING PUNE

SAI SAMPATH KUMAR REDDY CHINTALAPUDI 90%

VISVESVARAYA NATIONAL INSTITUTE OF TECHNOLOGY

DHWANAN ASIT ACHARYA 90%

Rashtriya Raksha University

SADAF ATHAR KHAN 90%

ALIGARH MUSLIM UNIVERSITY

MR SUMEET MISHRA 90%

HINDUSTAN AERONAUTICS LIMITED


Top 2 % of Certified Candidates

MRUNMAYI BHIDE 88%

COLLEGE OF ENGINEERING PUNE

RAHUL KARAD 87%

Rashtriya Raksha University

DR DESAI KARANAM SREEKANTHA 87%

NMAM INSTITUTE OF TECHNOLOGY

SUMIT SINGH 86%

INSTITUTE OF ENGINEERING & TECHNOLOGY,LUCKNOW

PURVAKKUMAR KANTIBHAI PATEL 86%

CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY


Top 5 % of Certified Candidates

PIYUSH 85%

PDIL

GAURI MALHAR BHANDURGE 85%

COLLEGE OF ENGINEERING PUNE

SHRUTI DHONDIBA BHUSE 85%

Gogate jogalekar college

ANURODH YADAV 85%

TEZPUR UNIVERSITY

SHIVAM PANDYA 84%

Rashtriya Raksha University

R AJIN SEKHAR 84%

TKM INSTITUTE OF MANAGEMENT

DR VEERESH FUSKELE 84%

GOVERNMENT ENGINEERING COLLEGE BANSWARA

MAURYA MAYANK 84%

JHARKHAND RAI UNIVERSITY

RITIK MATHE 84%

MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE

CHINMOY DAS 83%

TEZPUR UNIVERSITY

DR S M SUBASH 83%

GURU NANAK INSTITUTE OF TECHNOLOGY

SUSITHA A 83%

COIMBATORE INSTITUTE OF TECHNOLOGY

RAHIL JAMAL 83%

COLLEGE OF ENGINEERING GUINDY

VINAY KUMAR SAWNANI 82%

KAVIKULGURU INSTITUTE OF TECHNOLOGY AND SCIENCE

SHOVIT KUMAR 82%

Galgotia University

N HARINI 82%

G. NARAYANAMMA INSTITUTE OF TECHNOLOGY AND SCIENCE (FOR WOMEN)

SHANKAR KUMAR VERMA 82%

ANAND ENGINEERING COLLEGE

KANUKULA SHIVARAM REDDY 82%

DR B R AMBEDKAR NATIONAL INSTITUTE OF TECHNOLOGY JALANDHAR

G L SEKAR 82%

SNS COLLEGE OF TECHNOLOGY

RAVIRAGUL P 82%

DR. MAHALINGAM COLLEGE OF ENGINEERING AND TECHNOLOGY

Enrollment Statistics

Total Enrollment: 12112

Registration Statistics

Total Registration : 1104

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.