Course Name: Control engineering

Course abstract

This course shall introduce the fundamentals of modeling and control of linear time invariant systems; primarily from the classical viewpoint of Laplace transforms and a brief emphasis on the state space formulation as well. The course will be useful for students from major streams of engineering to build foundations of time/frequency analysis of systems as well as the feedback control of such systems.


Course Instructor

Media Object

Prof. Ramkrishna.P

Ramkrishna Pasumarthy is currently an Assistant Professor at Department of Electrical Engineering, IIT Madras. I obtained my PhD in systems and control from University of Twente, The Netherlands and held post doc positions at University of Melbourne and UCLA.My interests lie in the area of modeling and control of complex physical systems. I also have interests in the area of identification and control of (cloud) computing systems and data analytics for power, traffic and cloud networks. I am also a member of the Interdisciplinary Laboratory for Data Sciences at IIT Madras.


More info

Teaching Assistant(s)

SATYA JAYADEV P

Phd Scholar, Electrical Engineering Dept, IIT Madras

Subhadeep Kumar

M.S., Electrical Engineering, IIT Madras

 Course Duration : Jul-Oct 2017

  View Course

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

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

 Exam Date : 22-Oct-2017

Enrolled

11963

Registered

992

Certificate Eligible

545

Certified Category Count

Gold

9

Silver

0

Elite

196

Successfully completed

340

Participation

336

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 7 out of 11 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
  • NOTE: Week 12 has no assignment hence average of best 7 out of 11 has been calculated
Control engineering - Toppers list
Top 1 % of Certified Candidates

ANIKET ARVIND KHANDEKAR 96%

ZEAL COLLEGE OF ENGINEERING AND RESEARCH

GAURAVI PORE 94%

DEFENCE INSTITUTE OF ADVANCED TECHNOLOGY

RAVI KUMAR RANJAN 93%

INSTITUTE OF ENGINEERING & MANAGEMENT

A.BALASUBRAMANIAN 93%

SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING

RAJALAKSHMI SAMAGA B L 93%

CANARA ENGINEERING COLLEGE


Top 2 % of Certified Candidates

RAHUL VITTHAL VAGHOLI 92%

RAJARAMBAPU INSTITUTE OF TECHNOLOGY

SHIVANI GARG 91%

MEERUT INSTITUTE OF ENGINEERING & TECHNOLOGY

SRAVAN KUMAR 91%

GUDLAVALLERU ENGINEERING COLLEGE

ADITYA ARVIND 91%

HARCOURT BUTLER TECHNOLOGICAL INSTITUTE

VAGEESH KUMAR GUPTA 88%

MADAN MOHAN MALAVIYA UNIVERSITY OF TECHNOLOGY

HONEY DEVASSY 87%

NSS

MAINAK SANYAL 87%

INSTITUTE OF ENGINEERING & MANAGEMENT


Top 5 % of Certified Candidates

SAJAN SAHA 86%

NARULA INSTITUTE OF TECHNOLOGY

OINDRILA SAHA 86%

NARULA INSTITUTE OF TECHNOLOGY

ASHUTOSH DASH 86%

NIT RAIPUR

ADITYA RAJ 85%

INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY SHIBPUR

MERLIN THOMAS 85%

VISWAJYOTHI COLLEGE OF ENGINEERING AND TECHNOLOGY

SUDEEP KUMAR MAURYA 84%

DR KNMIET MODINAGAR

ABHISHEK JAIN 84%

BHILAI INSTITUTE OF TECHNOLOGY, DURG

LOKENATH CHAKRABORTY 84%

INSTITUTE OF ENGINEERING & MANAGEMENT

NAVEEN KUMAR POTHAPAKULA 83%

DEFENCE INSTITUTE OF ADVANCED TECHNOLOGY

PARTH ASHARA 83%

TECHNO INDIA, SALT LAKE, WEST BENGAL

DR.C.GANESH 83%

KPR INSTITUTE OF ENGINEERING AND TECHNOLOGY

MOHANBIR SINGH 83%

LOVELY PROFESSIONAL UNIVERSITY

PREM BHANABHAGVANWALA 83%

CHHOTUBHAI GOPALBHAI PATEL INSTITUTE OF TECHNOLOGY

SONTI KAMESH 82%

SASI INSTITUTE OF TECHNOLOGY & ENGINEERING

SUBHADEEP BASU 82%

LEARNER

ANANTHA KRISHNA KAMATH 82%

CANARA ENGINEERING COLLEGE

SHRIKANT MADHUKAR PATIL 82%

RAJARAMBAPU INSTITUTE OF TECHNOLOGY ISLAMPUR

Enrollment Statistics

Total Enrollment: 11963

Data Not Found..!
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.