Course Name: Introduction to algorithms and analysis

Course abstract

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.


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.


More info

Teaching Assistant(s)

ANUP K MOHANAN

M.Tech, Mathematics, IIT Kharagpur

RAVI ANAND

Ph.D, Mathematics, IIT Kharagpur

KAMALESH ACHARYA

Research Scholar, Mathematics, IIT Kharagpur

 Course Duration : Jul-Oct 2017

  View Course

 Syllabus

 Enrollment : 17-May-2017 to 24-Jul-2017

 Exam registration : 30-Aug-2017 to 20-Sep-2017

 Exam Date : 22-Oct-2017

Enrolled

8535

Registered

Certificate Eligible

326

Certified Category Count

Gold

110

Elite

173

Successfully completed

43

Participation

5

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.
Introduction to algorithms and analysis - Toppers list
Top 1 % of Certified Candidates

ANAND KUMAR 100%

NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY

SHAH NIPUN 100%

CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY

HARSH SURESH JAIN 100%

DWARKADAS J.SANGHVI COLLEGE OF ENGINEERING

DEVANSH BHATT 100%

IIT KHARAGPUR

SUDHA CHAITANYA DUVVURI 100%

ENTELLIGENTSIA INDIA

MEDABALIMI RAVI KUMAR 100%

PLIANTO


Top 2 % of Certified Candidates

DABBIRU HARIN SANTOSH 99%

NATIONAL INSTITUTE OF TECHNOLOGY

POOJA RAI 99%

MADAN MOHAN MALAVIYA UNIVERSITY OF TECHNOLOGY

RAVI SINGH 99%

RBS SERVICES INDIA PVT LTD

NISHAN 99%

GURU JAMBHESHWAR UNIVERSITY OF SCIENCE AND TECHNOLOGY

NISHANT SAURABH 99%

NIT PATNA

JAY BANSAL 99%

M B M ENGINEERING COLLEGE

GIRISH RAO SALANKE N S 99%

R V COLLEGE OF ENGINEERING

KUNAL AHUJA 99%

CHANDIGARH COLLEGE OF ENGINEERING AND TECHNOLOGY

RAJ 99%

UNIVERSITY INSTITUTE OF TECHNOLOGY

ARUNAVA CHAKRABORTY 99%

GOVERNMENT COLLEGE OF ENGINEERING AND TEXTILE TECHNOLOGY SERAMPORE

VENUBABU VEMPARALA 99%

GE INDIA EXPORTS PVT LTD

ANIRUDDHA TAMHANE 99%

IIT M

PURUSHOTTAM 99%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY


Top 5 % of Certified Candidates

Enrollment Statistics

Total Enrollment: 8535

Registration Statistics

Total Registration : 390

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.