#1
2nd March 2016, 02:15 PM
 
 
Indian Institute of Information Technology syllabus
Hello sir my sister wants to take admission in PG Program of IIIT Hyderabad so please can you provide me the detailed syllabus of this entrance exam for mathematics subject.

#2
2nd March 2016, 02:15 PM
 
 
Re: Indian Institute of Information Technology syllabus
An allIndia examination (PGEE) is the entrance exam for masters level admission in IIIT Hyderabad. Exam structure The entrance examination consists of two papers: (No negative marking) Paper I: General aptitude paper Objective Paper II: Objective paper (Paper II) Mathematics Subjective Computer Science Objective Electronics and Communications Engineering (Objective and Subjective) Structural Engineering (Subjective) Computational Natural Sciences and Bioinformatics Objective Computational Linguistics Syllabus of PGCEE Exam 1. Paper I (General Aptitude) Objective Duration: 1 1/2 hours (Compulsory for everyone) This is objective type question paper and will emphasize on basic aptitude, logical reasoning, basic questions on computers and mathematics. A minimum cutoff score in this paper is compulsory for evaluation of candidate's subject paper (Paper II). Paper II is subject paper Based on the graduation, candidate has to appear for relevant subject papers. Mathematics: Duration: 1 1/2 hours I. Finite Dimensional Linear Vector Space Linear Independence, Span, Basis, Orthonormal Set, GramSchmidt Orthogo nalization Process, Inner Product, Dual Space, Eigen Space, Rank of a Matrix, CayleyHamiltonian Theorem, Similar Matrices, Linear Operator, Hermetian, Unitary and Normal Matrices, Spectral Decomposition. II. Group, Ring and Field Basic Concepts of Groups, Cyclic Group, Cosets, Elementary Concepts of Rings and Fields III. Real Analysis Concepts of sets of Real numbers, Sequence of Real Numbers, Continuous and Differentiable Functions, Rolle’s Theorem, Mean Value Theorem and Taylor Se ries, Reimann Integration IV. Probability Theory Conditional Probability, Bayes Theorem, Random variable, PDF and CDF, Mo ment Generating Function, Theoretical Distribution (Binomial, Poisson, Nor mal, Uniform and Hyper geometric). V. Complex Analysis Analytic functions, Integration, Cauchy’s Integral Theorem, Cauchy’s Integral formula, Taylor and Laurent Series, Residue, Contour Integration. VI. Ordinary Differential Equation Equation of First order and First Degree, Second order Linear Equation with Constant coefficients. VII. Optimization Linear Programming Problem 