Course Name: Probability Methods in Civil Engineering

Course abstract

Concept of probability and statistics is very important to solve various civil engineering problems. In this course, basic probability concept and different probabilistic models will be discussed. Concept and definition of random variables and different functions of random variables will be covered in the initial part of the course. Afterwards, focus is given to commonly used probability distribution functions in civil engineering. Discussions on statistics and sampling are presented towards the last part of the course. In this part, goodness of fit tests, regression and correlation analyses, estimation of distribution parameters from statistics, hypothesis testing and their significance will be discussed. A brief introduction to copulas is also included in this course. Each topic is discussed with reference to different application problems and their solutions in different fields of civil engineering, such as Structural Engineering, Transportation Engineering, Water Resources and Environmental Engineering, Geotechnical Engineering etc.


Course Instructor

Media Object

Prof. Rajib Maity

Dr. Rajib Maity is Associate Professor of Department of Civil Engineering, Indian Institute of Technology, Kharagpur, India. His research area includes hydroclimatology, stochastic hydrology, climate impacts on water resources, hydrologic time series analyses and forecasting etc. He has published one book on ?Hydroclimatic Teleconnection: Indian Perspective? and about 60 research articles in different peer reviewed journals and conferences and chapters in books. His research work has been funded by various agencies such as DST, ISRO, MoES, MHRD, AISRF and IBM. Some of his professional recognitions includes Prof. R. J. Garde Research Award, ASCE 2011 Outstanding Reviewer (USA), Emerging Leaders Fellowship (Australia), BOYSCAST Fellowship, IEI Young Engineers Award, DAAD fellowship for IIT faculty (Germany), International ICE WaRM Fellowship (Australia), Prof. N. S. Govinda Rao Memorial Gold Medal, IISc. He is an associate editor of Journal of Earth System Sciences (by Springer), and ISH Journal of Hydraulic Engineering (by Taylor and Francis).
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Teaching Assistant(s)

Mayank Suman

Ph.D. (Pursuing),
School of Water Resources, IIT Kharagpur

Kironmala Chanda

Ph.D. (Pursuing),
Department of Civil Engineering, IIT Kharagpur

 Course Duration : Jan-Apr 2016

  View Course

 Enrollment : 05-Dec-2015 to 04-Feb-2016

 Exam Date : 24-Apr-2016

Enrolled

1496

Registered

10

Certificate Eligible

10

Certified Category Count

Gold

0

Silver

0

Elite

6

Successfully completed

3

Participation

1

Success

Elite

Gold





Legend

>=90 - Elite+Gold
60-89 - Elite
35-59 - Successfully Completed
<=34 - Certificate of Participation

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 10 assignments.
  • Final Score(Score on Certificate) = 40% of Exam Score + 60% of Assignment Score.
Probability Methods in Civil Engineering - Toppers list

C RAMESH BABU 85%

Kalasalingam University

K RAVIKUMAR 76%

VNR VJIET

PREMKUMAR R 76%

Kalasalingam University

ANANDHBABU M 70%

Kalasalingam University

CHANDRA SHEKHAR DANGWAL 67%

DIT University

PAWALE MAHESH BHAGWANRAO 63%

SHRI GURU GOBIND SINGHAJI INSTITUTE OF ENGINEERING AND TECHNOLOGY

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.