Course Name: Mathematical Finance

Course abstract

The course on 'Mathematical Finance' gives an introduction to this interesting and growing area. In particular, the course will cover two Nobel-prize winning frameworks, namely portfolio theory and the option pricing theory.


Course Instructor

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Prof. N. Selvaraju

Prof. Selvaraju has more than ten years of teaching experience (in addition to research experience) in the areas of financial mathematics, financial engineering, stochastic calculus and portfolio theory and has offered several courses to the B.Tech. (Mathematics and Computing) and M.Sc. (Mathematics and Computing) students of IIT Guwahati.
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Prof. Siddhartha Pratim Chakrabarty

Dr. Chakrabarty has more than ten years of teaching experience (in addition to research experience) in the areas of financial engineering, computational finance, portfolio theory and financial risk management and has offered several courses to the B.Tech. (Mathematics and Computing) and M.Sc.
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Teaching Assistant(s)

Dipankar Mondal

P.hD

Sonjoy Pan

P.hD

 Course Duration : Jul-Oct 2019

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 Enrollment : 15-May-2019 to 05-Aug-2019

 Exam registration : 01-Jun-2019 to 30-Sep-2019

 Exam Date : 16-Nov-2019

Enrolled

1670

Registered

96

Certificate Eligible

30

Certified Category Count

Gold

0

Silver

5

Elite

14

Successfully completed

11

Participation

24

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

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 Finance - Toppers list

SWETHA SRINIVASAN 85%

INDIAN INSTITUTE OF TECHNOLOGY, MADRAS

J RANJITH GANESH 82%

IIT MADRAS

Enrollment Statistics

Total Enrollment: -1

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Data Not Found..!

Registration Statistics

Total Registration : 96

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.