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The syllabus of MSc-PhD Mathematics and Computation consists of the following topics with their relative weightage:

Based on the syllabus of 12th and Graduation, basic knowledge of subjects like Physics, Chemistry, Biology will be tested which carry weightage of 20%

General aptitude carry weightage of 20%

Data science/computer science carry a weightage of  40%

• Digital Logic includes Boolean algebra, logic gates, and switching functions, truth tables and switching expressions, minimization of switching functions
• Basics of Programming includes Conditional constructs, iteration (loops), function,recursion, arrays
• Concepts of programming, ability to write programs in  C, C++, Fortran or Java.
• Basics of searching and sorting, root finding, first order differential equation, numerical integration, interpolation.

Mathematics carry weightage of 20%

• Basic set theory includes Venn diagram, set operations
• Algebra and linear algebra includes Theory of equations, complex numbers, matrices and determinants
• Basics of real and complex analysis includes Basics of limit, continuity, differentiation, integration, elementary differential equations, series and sequences and their convergence, Analytic functions, Cauchy-Riemann equations, complex integration
• Combinatorics includes permutation, combination
• Probability and statistics includes Mean, median, mode, basic notion of probability, expectation, variance and standard deviation