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Free download of Sikkim Manipal University, SMU previous year, last year, sample question paper for  : [Statistical & Numerical Methods using C++] MC0074. Find question and answer for Part-A 2 marks, Part-B 4 Marks and Part-C 8 marks. Free download of question paper of previous year test.   Statistical & Numerical Methods using C++ , MC0074 question paper includes multiple choice options and answer also.

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   SMU >> MCA >> MC0074

   Statistical & Numerical Methods using C++

This is the collection of Sikkim Manipal University (SMU) question paper for MCA - Statistical & Numerical Methods using C++. It will help you to prepare your examination. All questions are classified as per question type like PART - A of 2 marks, PART - B of 4 marks and PART - C of 8 marks same as actual examination. SMU question paper set which includes year 2017, 2016, 2015 SMU question papers of Statistical & Numerical Methods using C++ are updated regularly and it is absolutely free to use. SMU Question paper includes multiple choice question and answer as same as real and original examination. It will help you to study and prepare for your final SMU examination.

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  1. BCA
  2. MCA
  3. BSc IT
  4. MSc IT
  5. MBA


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Course Name
        MCA (Master of Computer Application)

Subject Code      
MC0074 (Statistical & Numerical Methods using C++)

Get Questions        PART - A    PART - B    PART - C


Statistical & Numerical Methods using C++ Syllabus.

Part 1: Probability
Introduction; Features of random experiment; Definition of some basic terms; Conditional probability; Baye‘s theorem.

Part 2: Random Variables
Introduction; One-dimensional random variable; Discrete and continuous random variable; Mathematical expectation and variance; Two-dimensional random variable; Marginal and conditional probability distribution; Correlation coefficient; Covariance.

Part 3 : Distribution
Introduction; Bernoulli trials; Poisson distribution; Normal distribution; Uniform distribution; Exponential distribution; Gamma distribution; Chi-square distribution.

Part 4: MGF, Sampling theory and estimation
Introduction; Moment generating function; Functions of random variable; Sampling theory; Point estimation.

Part 5: Statistics
Introduction; Graphical representation; Measures of central tendency; Moments; Skewness; Kurtosis; Curve fitting; Regression.

Part 6: Stochastic process, Marcov-chains
Introduction; Stochastic process; Classification of stochastic process; Bernoulli Poisson process; Markov chains.

Part 7: Errors in Numerical Calculations
Introduction; Accuracy and Significant digit; Rounding off numbers to significant digits; Errors and their computation; Absolute, relative and percentage errors.

Part 8: Matrices and Linear System of Equations
Introduction; Different type of matrices; Operations on matrices; Determinant of matrices; Rank of a matrix; Solution to a system of linear equations; Eigen values and Eigen vectors.

Part 9: Solution of Algebraic and Transcendental Equations
Introduction; Bisection method; Method of false position; Iteration method; Newton-Raphson method; Generalized Newton method.

Part 10: Interpolation
Introduction; Finite differences; Newton‘s forward and backward difference interpolation formulae; Lagrange‘s interpolation formula; Divided differences.

Part 11: Numerical Differentiation and Integration
Introduction; Numerical differentiation; Derivatives using Newton‘s forward and backward difference interpolation formulae; Numerical integration.

Part 12: Numerical Solution of Ordinary Differential Equation
Introduction; Initial value problem; Taylor‘s series method; Euler‘s method; Modified Euler‘s method; Runge-Kutta method of second and fourth order.

Part 13: Introduction to Mathematical Software used for Numerical Analysis
Introduction to MATLAB: Key Features of MATLAB, History of MATLAB, Syntax of MATLAB, Variables, Vectors/Matrices, Semicolon, Graphics, Limitations, Lab Exercise, Numerical Algorithms Group (NAG).
 

  Get Questions        PART - A    PART - B    PART - C



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