Details of MA2103 (Autumn 2019)
| Level: 2 | Type: Theory | Credits: 3.0 |
| Course Code | Course Name | Instructor(s) |
|---|---|---|
| MA2103 | Mathematical Methods - II | Ananda Dasgupta, Ratikanta Behera |
| 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 Equation. 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 \& 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. Part IV: Numerical Methods Root finding by the bisection, regula falsi and Newton-Raphson methods; Solving ordinary differential equations by the Euler and Runge-Kutta methods; Interpolation and extrapolation from data sets. |
| References |
|---|
and Engineers, Academic Press, 2003. Pvt Ltd, Springer-Verlag, 2006. 2010. |
Course Credit Options
| Sl. No. | Programme | Semester No | Course 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 | Core |
| 7 | RS | 1 | Not Allowed |
| 8 | RS | 2 | Not Allowed |