Course Name: Introduction to Abstract and Linear Algebra

Course abstract

Abstract and Linear Algebra are applicable to every discipline, be it engineering and technology, economics or social sciences. It is essential for the students to get acquainted with the subject of Abstract and Linear Algebra at an early stage. The present course has been designed to introduce the subject to undergraduate/postgraduate students in science and engineering. The course contains a good introduction to each topic and an advance treatment of theory at a fairly understandable level to the students at this stage.


Course Instructor

Media Object

Prof. Sourav Mukhopadhyay

Dr. Sourav Mukhopadhyay is an associate professor at Indian Institute of Technology Kharagpur. He has completed his B.Sc (Honours in Mathematics) in 1997 from University of Calcutta, India. He has done M.Stat (in statistics) and M.Tech (in computer science) from Indian Statistical Institute, India, in 1999 and 2001 respectively. He worked with Cryptology Research Group at Indian Statistical Institute as a PhD student and received his Ph.D. degree in Computer Science from there in 2007. He was a Research Assistant at the Computer Science department of School of Computing, National University of Singapore (NUS). He visited Inria Rocquencourt, project CODES, France and worked as a post-doctoral research fellows at the School of Computer Engineering, Nanyang Technological University (NTU), Singapore. He was a post-doctoral research fellows and a part time Lecturer with School of Electronic Engineering, Dublin City University (DCU), Ireland.

Teaching Assistant(s)

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

Enrolled

2400

Registered

475

Certificate Eligible

407

Certified Category Count

Gold

29

Silver

141

Elite

151

Successfully completed

86

Participation

34

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 6 out of 8 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
Introduction to Abstract and Linear Algebra - Toppers list
Top 1 % of Certified Candidates

KAILASH M PATIL 98%

DHARMSINH DESAI UNIVERSITY,NADIAD

SHINGALA KUNAL RAJESHBHAI 97%

ATMIYA UNIVERSITY

SONALI ARORA 97%

LUCKNOW UNIVERSITY

LAGAD ADITYA CHATRAGUN 97%

SWAMI RAMANAND TEERTH MARATHWADA UNIVERSITY

SURESH KUMAR S 97%

C.ABDUL HAKEEM COLLEGE

MEHULKUMAR PRABHURAM PATEL 97%

K.D. POLYTECHNIC, PATAN


Top 2 % of Certified Candidates

H A BHAVITHRA 96%

Mahalashmi Womens college for arts and science

SACHINKUMAR JAYANTILAL GAJJAR 96%

GOVERNMENT POLYTECHNIC, GANDHINAGAR


Top 5 % of Certified Candidates

KUKIL KALPA RAJKHOWA 95%

COTTON UNIVERSITY

M RAMANANDA KAMATH 95%

Vivekananda College of Engineering and Technology

KINJALBEN BHAGWANDAS DABHI 94%

GOVERNMENT POLYTECHNIC, GANDHINAGAR

AYUSHI GUPTA 93%

LUCKNOW UNIVERSITY

AMITA TIWARI 93%

Lucknow university

DR RANJITHA KUMAR 93%

REVA UNIVERSITY

PRIYANKA YADAV 92%

University of Lucknow

UDIT GUPTA 92%

University of Lucknow

PRAGYA YADAV 92%

UNIVERSITY OF LUCKNOW

ASIF KHAN 92%

The Adabi Society High Madrasah (H.S)

SANGEETHA S 92%

SRM UNIVERSITY - RAMAPURAM

ANJALI SINGH 91%

UNIVERSITY OF LUCKNOW

NISHANT MISHRA 91%

Lucknow University

RAKSHITKUMAR SHASHIKANT UPADHYAY 91%

GOVERNMENT POLYTECHNIC, GANDHINAGAR

Enrollment Statistics

Total Enrollment: 2400

Registration Statistics

Total Registration : 475

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.

Overall, it was an excellent teaching by iitkgp professor. He came down to earth and explained the concepts so clearly. Except for vector spaces others were very clear. Vector spaces alone was confusing due to change of notations. On the whole, it was an inspiring lecture. The professor's lectures were so lucid