Course Name: Probability and Statistics

Course abstract

The use of statistical reasoning and methodology is indispensable in modern world. It is applicable to every discipline, be it physical sciences, engineering and technology, economics or social sciences. Much of the advanced research in electronics, electrical, computer science, industrial engineering, biology, genetics, and information science relies increasingly on use of statistical tools. It is essential for the students to get acquainted with the subject of probability and statistics 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. Each concept has been explained through examples and application oriented problems.


Course Instructor

Media Object

Prof. Somesh Kumar

Somesh Kumar is a professor in the Department of Mathematics, IIT Kharagpur. He has over 28 years of experience of teaching courses on Probability Statistics, Statistical Inference, Sampling Theory, Stochastic Processes, Multivariate Analysis, Regression analysis, Time Series, Experimental Designs, Decision Theory to undergraduate, p

Teaching Assistant(s)

Deepak Singh

PhD, pursuing, Statistics

Tulika Rudra Gupta

Ph. D Pursuing, Department of Mathematics

 Course Duration : Jan-Apr 2019

  View Course

 Syllabus

 Enrollment : 15-Nov-2018 to 28-Jan-2019

 Exam registration : 28-Jan-2019 to 19-Apr-2019

 Exam Date : 28-Apr-2019

Enrolled

6429

Registered

366

Certificate Eligible

198

Certified Category Count

Gold

4

Silver

19

Elite

44

Successfully completed

131

Participation

87

Success

Elite

Silver

Gold





Legend

>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - 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
Probability and Statistics - Toppers list
Top 1 % of Certified Candidates

BOLLI MADHURI 95%

INDIAN INSTITUTE OF TECHNOLOGY,MADRAS

ANCHALA KULLAYA SWAMY 95%

SG GOVT. DEGREE COLLEGE, PILER


Top 2 % of Certified Candidates

AMAN DANISH AHMAD 91%

CREDIT SUISSE

RUSHIKA KINJAWADEKAR 90%

VISHWAKARMA UNIVERSITY


Top 5 % of Certified Candidates

AKSHAT SWAROOP 86%

INDIAN INSTITUTE OF TECHNOLOGY,ROORKEE

TUSHAR ARORA 83%

NETAJI SUBHAS INSTITUTE OF TECHNOLOGY

DR. S. HARIKRISHNAN 83%

SONA COLLEGE OF TECHNOLOGY

MD.WAZIR ALI 83%

NIELSEN INDIA PVT. LTD.

TANUJ KUMAR 83%

SRM INSITUTE OF SCIENCE AND TECHNOLOGY, DELHI-NCR CAMPUS

RAKESH KUMAR 82%

LOVELY PROFESSIONAL UNIVERSITY

ASOK KUMAR DAS 82%

LOVELY PROFESSIONAL UNIVERSITY

S.SIVAMANI 82%

SARANATHAN COLLEGE OF ENGINEERING

Enrollment Statistics

Total Enrollment: 6429

Registration Statistics

Total Registration : 366

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.