Course Name: Introduction to Electromagnetic Theory

Course abstract

This course introduces students to handling electromagnetic theory using vector calculus. This enables students to handle problems that are more complicated than they are used to from their school days. Due to general nature of the mathematics they learn in this course, what they learn here will help them in their future courses like fluid dynamics that use similar mathematics


Course Instructor

Media Object

Prof. Manoj K Harbola

Dr. Manoj Kumar Harbola joined the Department in 2000. He obtained his doctoral degree at the City University of New York, USA, working under the supervision of Prof. Viraht Sahni. Subsequently he carried out postdoctoral research at the University of North Carolina, Chapel Hill, USA before joining the Centre for Advanced Technology, Indore as a Scientist.He is a theoretical physicist , whose chief interest lies in Electronic Structure of Atoms, Molecules and Solids using Density Functional Methods.
More info

Teaching Assistant(s)

ANMOL THAKUR

Senior research scholar in Physics
Dept. of Physics

IIT Kanpur

ASHISH KUMAR

M.Sc. In Physics,University of Allahabad
Pursuing Ph.D. in Physics, IIT Kanpur

PARAMITA DASGUPTA

M.Sc in Physics, Indian Institute of Technology Guwahati
M.S in Physics and Astronomy

University of Nebraska Lincoln, USA

RABEET SINGH CHAUHAN

PhD,Dept of Physics
IIT Kanpur

SHAILENDRA KUMAR RATHOR

PhD Scholar in Physics Dept
IIT Kanpur

SUMEET DAGAONKAR

Pursuing PhD - QCD and Particle Physics
Department of Physics

 Course Duration : Jul-Sep 2016

  View Course

 Syllabus

 Enrollment : 23-May-2016 to 18-Jul-2016

 Exam registration : 02-Aug-2016 to 19-Aug-2016

 Exam Date : 18-Sep-2016, 25-Sep-2016

Enrolled

3727

Registered

551

Certificate Eligible

346

Certified Category Count

Gold

0

Elite

72

Successfully completed

274

Participation

118

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 5 out of 7 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
Introduction to Electromagnetic Theory - Toppers list
Top 1 % of Certified Candidates

DHANYA S S 83%

MAR IVANIOS COLLEGE

SATISH KUMAR VANAPALLI 81%

GMR INSTITUTE OF TECHNOLOGY

PRATEEK GUPTA 79%

DEPT OF PHYSICS UNIVERSITY OF PUNE


Top 2 % of Certified Candidates

CHANDHAN BOYAPATI 77%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

G REDDY SAGAR 74%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

BADRI VYSHNAVI 73%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

SYED MOHAMMED THAHEER 73%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE


Top 5 % of Certified Candidates

SIBBALA UDAY KUMAR 72%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

PERLA PRAVALLIKA 71%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

S HAREESH KUMAR REDDY 70%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

KOVURI AYESHA BANU 70%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

MUNIMADUGU GOVARDHANACHARI 70%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

P E IRIN DORATHY 69%

GOVERNMENT COLLEGE OF ENGINEERING

PRASHANTH S 69%

NULL

CHITRALA VENKATESH BABU 69%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

YERRAGANGU PRASHANTH KUMAR 68%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

MANOJ KUMAR 66%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

S FAIQ 66%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

BACHU VISHNUPRAKASH 66%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

VEMPALLI SRIVIDYA 66%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

KADAPALA SRIVIDYA 66%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

SREEKARAM VANDANA 66%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

APPALABHATLA SREEHARSHINI 66%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

B ALMAS 66%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

VARAPRASAD GNANAPRASUNA 66%

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

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.