Course Name: Social Networks

Course abstract

The network of friendships on Facebook, road connections, terrorist networks and disease spreading networks are today available as a graph G(V,E). Social Network Analysis involves discerning this graph data and making sense out of it. The course will revolve around the study of some well-known theories of social and information networks and their applications on real world datasets.


Course Instructor

Media Object

Prof. Sudarshan Iyengar

Sudarshan Iyengar has a Ph.D. from the Indian Institute of Science and is currently working as an assistant professor at IIT Ropar and has been teaching this course from the past 5 years. Apart from this course, he has offered several other courses in IIT Ropar like Discrete Mathematics, Theory of Computation, Cryptography, Probability and Computing etc. His research interests include social networks, crowdscoured knowledge building and computational social sciences. His current research proects are "Predicting a Viral meme" (Yayati Gupta), "Understanding Crowdsourced Knowledge buidling" (Anamika Chhabra - Scientist), "Secure Computation" (Varsha Bhat) and "Network Sampling" (Akrati Saxena). After research, teaching makes the major component of his academic life. He enjoys experimenting with different teaching methodologies. He particularly enjoys traveling and giving talks on his research work apart from motivational talks of popsci genre.


Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jul-Oct 2018

  View Course

 Enrollment : 18-Apr-2018 to 30-Jun-2018

 Exam registration : 25-Jun-2018 to 18-Sep-2018

 Exam Date : 28-Oct-2018

Enrolled

6808

Registered

577

Certificate Eligible

449

Certified Category Count

Gold

1

Silver

0

Elite

160

Successfully completed

288

Participation

80

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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
Social Networks - Toppers list
Top 1 % of Certified Candidates

DEEPENDRA BHUSHAN 95%

RADHARAMAN INSTITUTE OF TECHNOLOGY AND SCIENCE BHOPAL MADHYA PRADESH

RAMANUJAM S 88%

INFOSYS LTD

DEEPASREE VARMA P 87%

SCMS SCHOOL OF ENGINEERING & TECHNOLOGY

ABINRAJ K B 86%

SCHOOL OF ENGINEERING

R. ABHINAV 86%

INDIAN INSTITUTE OF TECHNOLOGY,TIRUPATI


Top 2 % of Certified Candidates

SOBYASACHI CHATTERJEE 85%

RAMAKRISHNA MISSION RESIDENTIAL COLLEGE (AUTONOMOUS)

RODGE VIDYA SUDAMRAO 84%

INDIAN INSTITUTE OF TECHNOLOGY TIRUPATI

VIDHATHRI 84%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

GOWTHAMI CHERUKURI 84%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM


Top 5 % of Certified Candidates

MANVI BREJA 83%

MANAV RACHNA UNIVERSITY

H.SUSMITHA 82%

KUPPAM ENGINEERING COLLEGE

KAVEL BARUAH 82%

TEZPUR UNIVERSITY

ANTARA ROY CHOUDHURY 81%

BMS COLLEGE OF ENGINEERING

VISALAKSHI M 81%

PSG COLLEGE OF TECHNOLOGY

TASHIA HASAN 81%

INTEGRAL UNIVERSITY

HARINI R 80%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

SUBHRAJIT MITRA 80%

GOVERNMENT COLLEGE OF ENGINEERING AND TEXTILE TECHNOLOGY , SERAMPORE

SAMEENA FATHIMA.M 79%

ST.JOSEPHS COLLEGE OF ENGINEERING

LIFNA C S 78%

VES INSTITUTE OF TECHNOLOGY

KAMAL DAS 77%

TEZPUR UNIVERSITY

ABHAY SINGH CHAUHAN 76%

VIT UNIVERSITY-VELLORE

ARAVINDH SEKAR C 76%

PSG COLLEGE OF TECHNOLOGY

Enrollment Statistics

Total Enrollment: 6808

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

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.