Course Name: Computer Aided Applied Single Objective Optimization

Course abstract

Optimization problems are frequently encountered in almost all disciplines of science and engineering. This course will familiarize the audience with both mathematical and computational intelligence algorithms to solve combinatorial optimization problems. The course is designed so as to enable the participants to quickly use state-of-the-art tools to solve optimization problems. A unique feature of this course will be discussion of a realistic case study to thoroughly understand various aspects of optimization.


Course Instructor

Media Object

Prof. Prakash Kotecha

Dr. Prakash Kotecha is an Associate Professor in the Department of Chemical Engineering at Indian Institute of Technology Guwahati. He obtained his Bachelor’s degree from Pondicherry Engineering College, Maters from Coimbatore Institute of Technology and PhD from IIT Bombay. He works in computational intelligence algorithms and also applies conventional and recently proposed optimization to solve combinatorial optimization problems. Dr. Kotecha has published articles in several journals and renowned conferences.
More info

Teaching Assistant(s)

Debasis Maharana

P.hD

Remya Kommadath

P.hD

 Course Duration : Jan-Mar 2020
  View Course
 Enrollment : 18-Nov-2019 to 03-Feb-2020
 Exam registration : 16-Dec-2019 to 21-Feb-2020
 Exam Date : 29-Mar-2020

Enrolled

669

Registered

18

Certificate Eligible

10

Certified Category Count

Gold

2

Silver

2

Elite

4

Successfully completed

2

Participation

1

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 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Computer Aided Applied Single Objective Optimization - Toppers list

ARIJIT MUKHERJEE 100%

FUTURE INSTITUTE OF TECHNOLOGY

Enrollment Statistics

Total Enrollment: 669

Registration Statistics

Total Registration : 64

Assignment Statistics



All the contents are well organized and highly beneficial for all the learners. Thank You


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.