Course Name: Introductory Mathematical Methods for Biologists

Course abstract

It is an introductory mathematics course for biology students with the aim of training them to do quantitative analysis of biological systems.


Course Instructor

Media Object

Prof. Ranjit Padinhateeri

Prof.Ranjith Padinhateeri completed his MSc and PhD in Physics from IIT Madras. During PhD he studied statistical mechanics of DNA. After PhD he did post-doctoral research in University of Illinois Chicago, USA, Northwestern University. Evanston, USA, and Institute Curie, Paris, France. He does his research in the broad area of biological physics. Prof.Ranjith Padinhateeri does theoretical studies to understand various biological phenomena using a variety of tools from physics, including equilibrium and non-equilibrium statistical mechanics, polymer physics, and soft-matter theory. He tackle research problems using a combination of computational and analytical methods. His Specific areas of interest include Nucleosome dynamics, Chromatin assembly, DNA mechanics and self-assembly of proteins


Teaching Assistant(s)

Gaurav Bajpai

Ph.D., Biotechnology

Shantanu Kadam

PhD, Physics

 Course Duration : Feb-Mar 2018

  View Course

 Syllabus

 Enrollment : 20-Nov-2017 to 05-Feb-2018

 Exam registration : 08-Jan-2018 to 07-Mar-2018

 Exam Date : 28-Apr-2018, 29-Apr-2018

Enrolled

772

Registered

55

Certificate Eligible

47

Certified Category Count

Gold

3

Elite

24

Successfully completed

20

Participation

3

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 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Introductory Mathematical Methods for Biologists - Toppers list

GURINDER KAUR BINNER 93%

BINNER COACHING CENTRE

MEENAKSHI YADAV 92%

NIET

Enrollment Statistics

Total Enrollment: 772

Registration Statistics

Total Registration : 55

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.