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
Prof. Sudarshan Iyengar
Sudarshan Iyengar has a PhD 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 4 years.
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Teaching Assistant(s)
Course Duration : Jul-Oct 2017
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Syllabus
Enrollment : 17-May-2017 to 24-Jul-2017
Exam registration : 30-Aug-2017 to 20-Sep-2017
Exam Date : 22-Oct-2017
Enrolled
7681
Registered
Certificate Eligible
147
Certified Category Count
Gold
3
Elite
75
Successfully completed
69
Participation
38
Success
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Category : Successfully Completed
Elite
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Category : Elite
Gold
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Category : 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
Top 2 % of Certified Candidates
Top 5 % of Certified Candidates
Enrollment Statistics
Total Enrollment: 7681
Registration Statistics
Total Registration : 225
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Assignment Statistics
Assignment
Exam score
Final score
Exam score
Final score