Course Name: Decision-Making Under Uncertainty

Course abstract

We are often faced with situations where we need to make decisions that have implications for personal and institutional goals. When there is uncertainty involved, we could either go with our gut feeling or take an analytical approach by characterizing the uncertainty, defining an objective, and evaluating the risk/payoffs of choices. This course is about the latter and is presented through the usage of example problem instances.


Course Instructor

Media Object

Prof.N. Gautam

N. Gautam is a professor of industrial and systems engineering at Texas A&M University and has a courtesy appointment in electrical and computer engineering. He received his B. Tech. in Mechanical Engineering at IIT Madras followed by an M.S. and Ph.D. in Operations Research from the University of North Carolina at Chapel Hill. Since 1997 he has taught courses in applied probability, stochastic systems, queueing models, decision-making, operations research, and statistics while being on the faculty at Pennsylvania State University and Texas A&M University. Gautam spent a semester at Singapore University of Technology and Design where he developed and taught a stochastic modeling course. He has given seminars in institutions around the world and is involved in research on topics related to this course. He is a Fellow of the Institute of Industrial and Systems Engineering.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Oct 2020
  View Course
 Enrollment : 20-May-2020 to 21-Sep-2020
 Exam registration : 14-Sep-2020 to 02-Nov-2020
 Exam Date : 20-Dec-2020

Enrolled

5858

Registered

57

Certificate Eligible

29

Certified Category Count

Gold

1

Silver

10

Elite

8

Successfully completed

10

Participation

20

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 3 out of 4 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Decision-Making Under Uncertainty - Toppers list

MANAN GODHA 92%

VIT UNIVERSITY-VELLORE

VRAJ KISHAN DUGAR 86%

VIT UNIVERSITY-VELLORE

TUSHAR MOHANDASS 86%

Indian Institute of Technology,Kharagpur

Enrollment Statistics

Total Enrollment: 3269

Registration Statistics

Total Registration : 57

Assignment Statistics



Feedback Videos

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.