Course Name: Mathematical Modelling: Analysis and Applications

Course abstract

This course provides introduction of mathematical modeling and analysis in biological sciences. It is designed for students in both applied mathematics and bio-medical / biological sciences. Due to limited time availability in course, the study material is chosen from population dynamics and bio-chemistry only. This course covers the fundamentals of deterministic models in both discrete and continuous time domain. The major portion of this course includes linear models. However a brief introduction of non-linear modeling concepts and few non-linear models have also been added to make reader familiar with real time complex system modeling. The relevant concepts from differential equations and system theory have also been provided for easy understanding.


Course Instructor

Media Object

Dr. Ameeya Kumar Nayak

Dr. Ameeya Kumar Nayak is Associate Professor in Department of Mathematics at IIT Roorkee and actively involved in teaching and research in the direction of numerical modeling of fluid flow problems for last ten years. His research interests are in the fundamental understanding of species transport in macro and micro-scale confinements with applications in biomedical devices and micro electro mechanical systems. He has authored and co-authored more than 32 peer-reviewed journal papers, which includes publications in Springer,ASME, American Chemical Society and Elsevier journals. He is also active in writing book chapter with reputed international publication house.
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Teaching Assistant(s)

Bharat Soni

M.Sc. in Mathematics and Computing

IITR

 Course Duration : Aug-Sep 2018

  View Course

 Enrollment : 18-Apr-2018 to 27-Aug-2018

 Exam registration : 25-Jun-2018 to 28-Aug-2018

 Exam Date : 28-Oct-2018

Enrolled

2158

Registered

81

Certificate Eligible

45

Certified Category Count

Gold

0

Silver

0

Elite

12

Successfully completed

33

Participation

14

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 3 out of 4 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
Mathematical Modelling: Analysis and Applications - Toppers list

SARBENDU RAKSHIT 82%

INDIAN STATISTICAL INSTITUTE, KOLKATA

BAVIKAR KUNAL 77%

R V COLLEGE OF ENGINEERING

Enrollment Statistics

Total Enrollment: 2158

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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.