#1
 
 
MCA Entrance Exam of Punjab University
Can you provide me the syllabus of Entrance exam for admission in MCA (Master of Computer Application) course offered by Punjabi University as I will be giving the exam this session?

#2
 
 
Re: MCA Entrance Exam of Punjab University
The syllabus of Entrance exam for admission in MCA (Master of Computer Application) course offered by Punjabi University is as follows: Punjabi University MCA Entrance Syllabus: Paper  I: Mental And Numerical Ability (Objective) Time: 30 minutes Questions: 30 Marks: 30 This paper will have the topic of logical reasoning, graphical analysis, analytical reasoning, quantitative comparisons, series formation, arithmetic calculations such as profit and loss, interest, ratio, proportion, averages, etc. Paper– II: General Knowledge (Objective) Time: 30 minutes Questions: 30 Marks: 30 This paper will cover the general awareness about international, national and regional events, current affairs related to science & technology, ecology, politics, sports, important personalities, books, and historical, politicaland geographical facts, etc. Paper– III: General English (Objective) Time: 30 minutes Questions: 30 Marks: 30 This paper will have questions from English language and its usage such as choosing correct spellings, completion of sentences with suitable propositions/articles, word meaning, one word substitution, synonym, antonym, meaning of idioms and phrases, choosing correcting grammatical errors in a part of given sentence, filling the blanks with correct form of verb, objectives, adverbs, etc. Paper– IV: (I) Mathematics (Objective)– Optional Time: 60 minutes Questions: 60 Marks: 60 Number System: Natural numbers, integers, rational numbers and real numbers, Complex numbers, real and imaginary parts. Coordinate Geometry: Distance and Section formulae, location of line in, a plane, angle between two lines, parallel and perpendicul ar lines. Location of a circle, conic section, parabola, ellipse and hyperbola. Functions: Algebra of real functions and their graphs, polynomial and rational functions. One one, onto and inverse functions. Trigonometry: Trigonometric functions, addition formulae, trigonometrically ratios, Solutions of simple trigonometric equation. Quadratic Equations and Inquations: Their solutions, roots of a quadratic equation, relationship between the roots and the coefficient, nature of roots. Solution of quadratic in equations with their graphic representations. Sequence and Series: AP, GP and their sums. Matrices and Determinants: Types of matrices, rank of a matrix, determinant and its properties, inverse of matrix, solution of linear equations having a single solution. Cramer's rule. Mathematical Operations: BODMAS Algebra: Set theorem, permutations and combinations, binomial theorem. Differential and Integral Calculus: Differentiation and integration of functions, limits and continuity of a function. Statistics and Probability: Population and sample, measures of central tendency and dispersion, correlation and regression (two variable cases). Probability on a discrete sample space, events, addition and multiplication theorems, conditional probability. (II) Computer Science (Objective)– Optional Time: 60 minutes Questions: 60 Marks: 60 Computer Fundamentals: Simple model of a computer, components and their functions, concepts about bit, byte and words, storage device and input/output devices, machine languages, assembly language, high level language, problem solving, flowcharts, pseudo codes and algorithms, system software, application software, compilers, interpreters, assemblers. Types of computers. Date Representation: Integer and floating point repres entation, codes (ASCII, EBCDIC, BCD). Number System: Decimal, octal, hexadecimal, Binary arithmetic: Addition, subtraction, multiplication and division. Computer Architecture: Boolean algebra, organization of CPU, registers of CPU, interrupts, software and hardware, CPU bus architecture, data transfer schemes, fundamentals of parallel processing, type of memory. Data Structures: Basic Data Structures: Arrays, stacks, queues, linked lists, graphs and trees traversals searching and sorting. Operating System: Batch processing, online processing, multi programming, time sharing, real time processing, introduction to operating system services, CPU scheduling algorithms, memory management schemes. Introduction to Data Processing: Data types, constants, variables, records and files, data processing cycle. Basic Concepts of Programming Languages: Binding, translators, software simulators, binding times, elementary and structured data types, object oriented programming: objects, classes, instances, abstraction, inheritance and polymorphism. Overview of DBMS: Basic DBMS terminology, architecture of DBMS, distributed databases, data models, integrity, security, recovery and concurrency. Computer Networks: Data communications fundamentals, types of communications, need for communication networks, characteristics of communication channels, computer network hardware and software. Reference models: TCP/IP, OSI and introduction to internet. Software Engineering: Phases of SDLC, SRS, design methodologies (Structured design and object oriented design) testing.
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