BCA Bachelor of Computer Applications Part 1
University Syllabus Course For BCA Computer Oriented Statistical MethodsAtlanta Computer Institute Nagpur conducts Tuition Classes for BCA First Year ( Part 1 ) , BCA Second Year ( Part 2 ) and BCA Final Year ( Part 3 ) for all universities in India . The Following syllabus is of Nagpur University. Final Year Projects Training is also given to BCA Students.
BCA Part 1 ( First Year )
SUBJECT-III ANALYTIC COMPUTATION
Paper-2:Computer oriented statistical methods
Unit-1: Introduction
Definition of statistics, importance and scope of statistics,limitation of Statistic, distrust of statistics. Statistical data collection- primary and secondary data, methods of collecting primary data Sources and secondary data, Census and sample investigation. Presentation of statistical data- classification , Tabulation, frequency distribution, graphic representation of a frequency distribution,average or measure s of central tendency or measures of locations, requisites for an ideal measure of central tendency-Arithmetic : Mean, median,mode,eometric mean and Harmonic Mean, weighted Average, Relatrionship amongst different averages.
Unit-2: Measures of Dispersion, Skeewness and kurtosis
Meaning and significance of dispersion, methods , of measuring dispersion- range,quartile, mean deviation, standard deviation, coefficient of skweness, kurtosis, coefficient of dispersion, coefficient of variation. Co relation and regression-definition of correlation, scatter diagram, karl pearson coefficient o correlation, limits for correlation coefficient, definition of regression, lines of regression, regression curves, regression coefficients,properties of regression coefficients, correlation analysis vs. regression analysis.
Unit-3: probability
Introduction , definitions of various terms, mathematical or classical probability, statistical or empirical probability, mathematical tools, sets and elements of sets, operation s on sets,axomatic approach to probability, probability function , mathematical law of addition of probability and conditional probabilities, independent events, bayes theorem, geometric probability.
Unit-4 Random variables and distribution functions
Definition of random variable , distribution function, properties of distribution function,disctrete random variable,probability mass function,discrete distribution function , continuos random variable, continuous density function, continuous distribution function.Mathematical expectation and Generation function - definition of mathematical expectation , addition & multiplication theorem of expectation , co-variance , expectation & variance of a linear combination of random variables, moment generating function, cumulants.
Unit-5: Theoreitical discrete distributions
Introduction , bernouli distribution , binomial distribution,poisson distribution, geometric distribution . theoretical continuous distributions- introductuion, normal distribution, gama distribution, cauchy’s distribution and central limit theore
BCA Bachelor Of Computer Application, BCCA, Bachelor of Commerce & Computer Application BE IT/CS, Information technology/Computer Science MCA, Master of Computer Application MCM, Master of Computer Management Diploma , Polytechnic Others,
