Details of MA2103 (Autumn 2021)

Level: 2 Type: Theory Credits: 3.0

Course CodeCourse NameInstructor(s)
MA2103 Mathematical Methods II Amit Ghosal

Syllabus


  • Part I: Partial Differential Equations: Separation of Variables - Classification, solution of partial differential equations by method of separation of variables with special emphasis on the Laplace/Poisson equations.

  • Part II: Fourier Series: Elementary Introduction to Fourier Series - Fourier coefficients, Fourier series of a function, summation of series using Fourier series.

  • Part III: Probability and Statistics: Probability - Events, notion of probability, conditional probability, independence, Bayes' theorem, law of large numbers and the central limit theorem (statement only).
    Statistics - Mean, median, mode; variance; correlation and regression.

  • Numerical Methods: Root finding by the bisection, regula falsi and Newton-Raphson method; solving ordinary differential equations by the Euler and Runge-Kutta methods; interpolation and extrapolation from data sets.



Prerequisite
Mathematical Methods I (MA1202)

References

  1. Apostol, T.M., Calculus I (2nd Edition), Wiley India Pvt Ltd, Springer-Verlag, 2011.


  2. Apostol, T.M., Calculus II (2nd Edition), Wiley India Pvt Ltd, Springer-Verlag, 2017.


  3. Arfken, G. B., Weber, H. and Harris, F., Essential Mathematical Methods for Physicists and Engineers, Academic Press, 2003.


  4. Boas, M. L., Mathematical Methods In the Physical Sciences (3rd Edition), Wiley India Pvt Ltd, Springer-Verlag, 2006.


  5. Kreyszig, E., Advanced Engineering Mathematics (8th Edition), Wiley India Pvt Ltd, 2010.


Course Credit Options

Sl. No.ProgrammeSemester NoCourse Choice
1 IP 1 Not Allowed
2 IP 3 Not Allowed
3 IP 5 Not Allowed
4 MR 1 Not Allowed
5 MR 3 Not Allowed
6 MS 3 Elective
7 MS 5 Not Allowed
8 MS 7 Not Allowed
9 MS 9 Not Allowed
10 RS 1 Not Allowed
11 RS 2 Not Allowed