Course Name: Advanced Graph Theory

Course abstract

Advanced graph theory course features both the understanding and writing of proofs about graphs. Verifying that algorithms work is emphasized more than their complexity. Many algorithms and applications are included, but the focus is on understanding the structure of graphs and the techniques used to analyze problems in graph theory and taught to make coherent arguments in the fields of computer science on the topics of trees and distance, matchings and factors, connectivity and paths, graph coloring, edges and cycles, and planar graphs.


Course Instructor

Media Object

Dr.Rajiv Misra

Dr. Rajiv Misra is an Associate Professor in Department of Computer Science and Engineering at Indian Institute of Technology Patna, India. He obtained his Ph.D degree from IIT Kharagpur, M.Tech degree in Computer Science and Engineering from the Indian Institute of Technology (IIT) Bombay, and Bachelor's of engineering degree in Computer Science from MNIT Allahabad. His research interests spanned a design of distributed algorithms for Mobile,Adhoc and Sensor Networks, Distributed Cloud Computing and Wireless Networks. He has contributed significantly to these areas and published more than 60 papers in high quality journals and conferences, and 2 book chapters. His h-index is 9 with more than 500 citations.He has authored papers in IEEE Transactions on Mobile Computing, IEEE Transaction on Parallel and Distributed Systems, Adhoc Networks, Journal of Parallel and Distributed Computing. He is currently editing a book titled as Smart Techniques for a Smarter PlanetTowards Smarter Algorithms for the Studies in Fuzziness and Soft Computing book series,Springer (2017).


Teaching Assistant(s)

YASHWANT SINGH PATEL

PhD, Computer Science

 Course Duration : Feb-Mar 2018

  View Course

 Enrollment : 20-Nov-2017 to 05-Feb-2018

 Exam registration : 08-Jan-2018 to 07-Mar-2018

 Exam Date : 28-Apr-2018

Enrolled

4183

Registered

240

Certificate Eligible

206

Certified Category Count

Gold

32

Silver

0

Elite

141

Successfully completed

33

Participation

4

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 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Advanced Graph Theory - Toppers list
Top 1 % of Certified Candidates

S. GOKILAMANI 99%

DR. N.G.P. ARTS AND SCIENCE COLLEGE

M.SUBRAMANIAN 97%

ANNA UNIVERSITY REGIONAL CAMPUS - TIRUNELVELI

ROSALIN S 97%

NATIONAL ENGINEERING COLLEGE

V.KAMALA KANNAN 97%

LOYOLA INSTITUTE OF TECHNOLOGY

NARALA SUDHAKAR REDDY 97%

S.R.K.INSTITUTE OF TEHNOLOGY

S KAVITHA 97%

THE STANDARD FIREWORKS RAJARATNAM COLLEGE FOR WOMEN (AUTONOMOUS), SIVAKASI


Top 2 % of Certified Candidates

Top 5 % of Certified Candidates

GAURAV SINHA 96%

CENTRAL GOVERNMENT

PINKY SUSHANT PANDA 95%

GURU NANAK KHALSA COLLEGE

DR. LOLITA PRIYA CASTELINO 95%

SHRI MADHWA VADIRAJA INSTITUTE OF TECHNOLOGY AND MANAGEMENT

RAJESH.N 95%

VIT UNIVERSITY-VELLORE

NALINI V 95%

DR.N.G.P.INSTITUTE OF TECHNOLOGY

Enrollment Statistics

Total Enrollment: -1

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Registration Statistics

Total Registration : 0

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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.