Vellore Institute of Technology (VIT)
VIT Master's Entrance Examination
(VITMEE - 2017)
VITMEE is the Common Entrance Exam for all VIT Campuses (Vellore, Chennai).
Exam Date : 3rd and 4th June
Exam Timing : 10.00 am – 12.00 noon & 02.30 pm – 04.30 pm
Eligibility Criteria:
| Recognized Bachelor’s Degree of Minimum 3 Yrs duration in BCA, B.Sc (IT/Computer Science) with Mathematics as a course at 10+2 level or at Graduate Level. Obtained at least 60% at the qualifying Examination. |
- Candidates should have graduated with a full-time degree from any recognized University with a minimum aggregate of 60% for MCA and M.Tech. degree programmes.
- Consistent Record in X and XII Std is required.
- Candidates appearing for their final degree exam / final semester exam in the current year are also eligible to apply.
- Candidates should have completed their final Semester/year exams before the selection interview at VIT University.
- The candidates should produce statement of final year marks and Provisional degree certificate before August 15th, 2017, failing which admission will be cancelled with the forfeit of admission fee.
ADMISSION PROCEDURE:
The applicants should apply online in the respect link provided in the website (www.vit.ac.in) by paying a non-refundable application of Rs.950/- (Rupees Nine Hundred Fify only).
The applicants should apply online in the respect link provided in the website (www.vit.ac.in) by paying a non-refundable application of Rs.950/- (Rupees Nine Hundred Fify only).
Application Fee - Rs. 950/-
| Important Dates | |
| Issue of Application form | 10th March 2017 |
| Last date of apply online and receipt of application | 19th May 2017 |
| Last date to edit application form | 19th May 2017 |
| Date of Slot booking | 20th to 31st May 2017 |
| Date of VITMEE-2017 exam | 03rd and 04th June 2017 |
| Counselling admit card downloading | 12th June 2017 onwards |
| Date of counselling M.Tech Automotive Engg. / MCA | 19th June 2017 |
| Date of counselling for other M.Tech programmes | 20th and 21st June 2017 |
| Register Your Email ID | |
| Official Information Brochure | Click Here |
| Contact information | Director - PG Admissions VIT University Vellore - 632 014 Tamil Nadu, India. Phone : + 91 - 416 - 220 4600 Fax : +91 - 416 - 224 5544, 224 0411 Email : pgadmission@vit.ac.in |
| Apply Online | Click Here |
Note : NO NEED TO SEND THE FILLED-IN APPLICATION FORM / CERTIFICATES BY POST.
MCA SYLLABUS FOR ENTRANCE EXAMINATION
MATHEMATICS
Algebra: Fundamental operations in Algebra, Expansion, factorization, quadratic equations, indices, logarithms, arithmetic, geometric and harmonic progressions, binomial theorem, permutations and combinations.
Calculus: Functions of single variable, limit, contnuity and differentiability, Mean value theorems, indeterminate forms and L'Hospital rule, Maxima and minima, Taylor's series, Fundamental and mean value-theorems of integral calculus, total derivatives, Lagrange method of multipliers.
Differental Equatons: Differental equations of first order and their solutions, linear differential equations with constant coefficients, homogeneous linear differential equations.
Algorithms: Analysis, Asymptotic notation, Notions of space and time complexity, Worst and average case analysis; Design: Greedy approach, Dynamic programming, Divide-and conquer; Connected components, Spanning trees, Shortest paths. Asymptotic analysis (best, worst, average cases) of time and space, upper and lower bounds.
Probability: Probability theory, Dependent and independent events, frequency distributions, and measures of dispersions, Skewness and Kurtosis, random variable and distribution functions, mathematical expectatons, Binomial, Poisson, normal distributions.
Algebra and Complex Analysis: Algebra of matrices, rank and determinant of matrices, linear equations. Eigenvalues and eigen vectors, Cayley-Hamilton theorem. Matrix representation of linear transformations. Canonical forms, diagonal forms, triangular forms, Quadratic forms, reduction and classification of quadratic forms Analytic functions, Cauchy-Riemann equations. Contour integral, Cauchy ’s theorem, Cauchy’s integral formula, Taylor series, Laurent series, calculus of residues. Conformal mappings, Mobius transformation —Fourier series—harmonics.
Calculus and its Applications : Linear ordinary differential equations (ODEs), variation of parameters, Sturm -Liouville problem. Partial differential equations (PDEs) - Classification of second order PDEs, General solution of higher order PDEs with constant coefficients, Method of separation of variables for Laplace, Heat and Wave equations.
Transformation techniques—Laplace transformation—Fourier transforms—z—transformation to solve differential and difference equations.Numerical Methods: Numerical solutions of algebraic and transcendental equations iteration methods and Newton — Raphson method, Solution of systems of linear algebraic equations using Gauss elimination and Gauss -Seidel methods-Numerical differentiation and integration, Numerical solutions of ODEs and PDEs. Descriptive statistics, Exploratory Data Analysis: Sample space, discrete probability, independent events, Bayes theorem.
Random variables and distribution functions (univariate and multvariate) - expectation and moments. Independent random variables, marginal and conditional distributions. Characteristic functions. Standard discrete and continuous univariate distributions. Correlation and simple and multiple linear regression. Test of hypotheses —Large and small sample tests confidence intervals. Chi -square test goodness of ft. Simple non parametric tests for one and two sample problems, rank correlation and test for independence. ANOVA.Date Structures: Arrays, Stacks, Queues, linked Lists. Sorting techniques, Searching Techniques, Trees and Graph terminology and representation in memory, binary search tree, traversal techniques of graphs and Trees.
Computer Networks: Network models, Internet model, OSI model, Physical Layer - Analog and Digital Signals, Analog and Digital Transmission, Coding, Sampling. Data Link Layer - Error detection and correction, Data link control and Protocols, Stop and wait, Go -back-n, Selective repeat. Network Layer - Inter-networks, Addressing, unicast and multcast routing, Presentation Layer.Programming in C: Data types, Declarations, Expressions, statements and symbolic constants, input-Output functions. Operators and
expressions: Arithmetic, unary, logical, bit-wise, assignment and conditonal operators. Control statements: While, do-while, for statements, nested loops, if else, switch, break, Contnue, comma operators. Storage types: Automatic, external, register and statc variables.
Functons: Defining and accessing, passing arguments, Recursion.Database Management Systems: DBMS architecture, Data models, data independence, E-R model, normalization, Relational
Model: concepts, constraints, languages. Data storage, indexing, query processing, design and programming SQL.Operatng Systems: Process management, Process States, Process Control Block, Process and Threads, CPU Scheduling, Scheduling algorithm, Process Synchronization and Deadlock, Memory management, Virtual memory concepts paging and segmentation
File organization, Blocking and buffering, fle descriptor, File and Directory structures, I/O Devices.
Computer Architecture: Boolean algebra and computer arithmetic, flip-flops, design of combinational and sequential circuits, instruction formats, addressing modes, interfacing peripheral devices, types of memory and their organization, interrupts and exceptions. Von Neumann Computer, System Bus. Instruction Cycle, Data Representation, Machine instruction and Assembly Language.
Random variables and distribution functions (univariate and multvariate) - expectation and moments. Independent random variables, marginal and conditional distributions. Characteristic functions. Standard discrete and continuous univariate distributions. Correlation and simple and multiple linear regression. Test of hypotheses —Large and small sample tests confidence intervals. Chi -square test goodness of ft. Simple non parametric tests for one and two sample problems, rank correlation and test for independence. ANOVA.Date Structures: Arrays, Stacks, Queues, linked Lists. Sorting techniques, Searching Techniques, Trees and Graph terminology and representation in memory, binary search tree, traversal techniques of graphs and Trees.
Computer Networks: Network models, Internet model, OSI model, Physical Layer - Analog and Digital Signals, Analog and Digital Transmission, Coding, Sampling. Data Link Layer - Error detection and correction, Data link control and Protocols, Stop and wait, Go -back-n, Selective repeat. Network Layer - Inter-networks, Addressing, unicast and multcast routing, Presentation Layer.Programming in C: Data types, Declarations, Expressions, statements and symbolic constants, input-Output functions. Operators and
expressions: Arithmetic, unary, logical, bit-wise, assignment and conditonal operators. Control statements: While, do-while, for statements, nested loops, if else, switch, break, Contnue, comma operators. Storage types: Automatic, external, register and statc variables.
Functons: Defining and accessing, passing arguments, Recursion.Database Management Systems: DBMS architecture, Data models, data independence, E-R model, normalization, Relational
Model: concepts, constraints, languages. Data storage, indexing, query processing, design and programming SQL.Operatng Systems: Process management, Process States, Process Control Block, Process and Threads, CPU Scheduling, Scheduling algorithm, Process Synchronization and Deadlock, Memory management, Virtual memory concepts paging and segmentation
File organization, Blocking and buffering, fle descriptor, File and Directory structures, I/O Devices.
Computer Architecture: Boolean algebra and computer arithmetic, flip-flops, design of combinational and sequential circuits, instruction formats, addressing modes, interfacing peripheral devices, types of memory and their organization, interrupts and exceptions. Von Neumann Computer, System Bus. Instruction Cycle, Data Representation, Machine instruction and Assembly Language.
1. Grammar
Subject – Verb Agreement, Tense form, Voices, Articles and Preposition, Use of Conjunctions
2. Writing Technical Instructions
3. Writing Memos & Writing Minutes
4. Trans coding
5. Preparing Questionnaire
6. Proof Reading
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