Course Name: Mathematical Methods in Engineering and Science

Course abstract

The purpose of this course is to summarise, crystallise, enhance and give a forward orientation to the mathematical methods taught in undergraduate curriculum, with projections to future requirements. It is needed as background necessary to appreciate specialised advanced subjects in engineering and science, and also to engage in professional analysis, modelling, design and research.

The major sections of the audience include
(a) postgraduate students,
(b) teachers of applied mathematics and engineering subjects (or physics/economics),
(c) senior undergraduate students, and
(d) scientists and engineers in research laboratories and industry.


Course Instructor

Media Object

Prof. Bhaskar Dasgupta

Prof. Bhaskar Dasgupta is a professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur. His teaching and research areas are robotics,theory of machines, computer aided design, optimization, applied mathematics, communication skills etc. He is the author of the PG textbook Applied Mathematical Methods (Pearson, 2006). His other interests are languages, literature, history and philosophy.


More info

Teaching Assistant(s)

Ankur Maurya

BT-MT Dual Degree, Mechanical Engineering, IIT Kanpur

MAHENDRA KUMAR GOHIL

Ph.D., Mechanical Engineering, IIT Kanpur

Akkarapakam Suneesh Jacob

Ph.D., Mechanical Engineering, IIT Kanpur

Arindam Chakraborty

PH.D. (pursuing)
IIT Kanpur

 Course Duration : Jul-Oct 2017

  View Course

 Syllabus

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

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

 Exam Date : 22-Oct-2017

Enrolled

3012

Registered

Certificate Eligible

Will be announced

Certified Category Count

Gold

Will be announced

Elite

Will be announced

Successfully completed

Will be announced

Participation

Will be announced

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 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
Mathematical Methods in Engineering and Science - Toppers list

Enrollment Statistics

Total Enrollment: 3012

Registration Statistics

Total Registration : 9

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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.