BCA
BCA
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BCA-NEP-Examination-Scheme 1/1
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Semester-1 8/8
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Lecture 2.1B23-CAP-101 Problem Solving through CPreview
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Lecture 2.2B23-CAP-102 Foundations of Computer SciencePreview
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Lecture 2.3B23-CAP-103 Logical Organization of ComputerPreview
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Lecture 2.4B23-CAP-104 Mathematical Foundations for Computer Science-IPreview
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Lecture 2.5B23-BBA-MDC-102 Social Media MarketingPreview
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Lecture 2.6B23-AEC-111 English Language and Communication Skills: Level 1Preview
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Lecture 2.7B23-SEC-101 Office and spreadsheet Tools LearningPreview
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Lecture 2.8B- VAC 101 Human Values and EthicsPreview
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Semester-2 8/8
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Lecture 3.1B23-CAP-201 Object Oriented Programming using C++Preview
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Lecture 3.2B23-CAP-202 Introduction to Web TechnologiesPreview
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Lecture 3.3B23-CAP-203 Concepts of Operating SystemsPreview
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Lecture 3.4B23-CAP-204 Mathematical Foundations for Computer Science-IIPreview
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Lecture 3.5B23-BBA-MDC-204 Entrepreneurship & Start-upsPreview
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Lecture 3.6B23-SEC-207 Soft SkillsPreview
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Lecture 3.7B23-VAC-201 Environmental StudiesPreview
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Lecture 3.8B23-AEC-211 English Language and Communication Skills: Level 2Preview
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Semester-3 7/7
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Lecture 4.1B23-CAP-301 Java OOP FoundationsPreview
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Lecture 4.2B23-CAP-302 Linux and Shell ProgrammingPreview
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Lecture 4.3B23-CAP-303 Data Base TechnologiesPreview
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Lecture 4.4B23-CAP-304 Basics of Data Science using ExcelPreview
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Lecture 4.5B23-SEC-310 Communication in Professional LifePreview
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Lecture 4.6B23-AEC-311 English Language and Communication Skills: Level 3Preview
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Lecture 4.7B23-BBA-MDC-302 Fundamentals of InvestingPreview
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Semester-4 4/4
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Semester-5 3/3
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Semester-6 6/6
BCA-NEP Semester-6 syllabus uploaded soon. This is the old syllabus of BCA.
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Lecture 7.1BCA-361: Web Designing Using Advanced ToolsPreview
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Lecture 7.2BCA-362: Operating System-IIPreview
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Lecture 7.3BCA-363: Computer GraphicsPreview
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Lecture 7.4BCA-364: Internet TechnologiesPreview
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Lecture 7.5BCA-365: Advanced Programming with Visual BasicPreview
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Lecture 7.6BCA-366: Programming in Core JavaPreview
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BCA – 245 COMPUTER-ORIENTED STATISTICAL METHODS
| Maximum Marks: 100 | External: 80 |
| Internal: 20 | |
| Minimum Pass Marks: 35 | |
| Time: 3 hours |
Note: Examiner will be required to set Nine Questions in all. First Question will be compulsory, consisting of objective type/short-answer type questions covering the entire syllabus. In addition to that eight more questions will be set, two questions from each Unit. A candidate will be required to answer five questions in all, selecting one question from each unit in addition to compulsory Question No. 1. All questions will carry equal marks.
UNIT-I
Basic Statistics: Preparing Frequency Distribution Table and Cumulative frequency, Measure of Central Tendency, Types: Arithmetic mean, Geometric Mean, Harmonic Mean, Median, Mode.
Measure of Dispersion: Range, Quartile Deviation, mean deviation, Coefficient of mean Deviation, Standard Deviation
Moments : Moments About mean, Moments about any point, Moment about origin, Moment about mean in terms of moment about any point, Moment about any point in terms of Moment about mean.
UNIT-II
Probability Distribution: Random Variable- Discrete Random and Continuous Random variable, Probability Distribution of a Random Variable, Mathematical Expectation
Types: Binomial, Poisson, Normal Distribution, Mean and Variance of Binomial, Poisson, and Normal Distribution.
Correlation: Introduction, Types, Properties, Methods of Correlation: Karl Pearson’s Coefficient of Correlation, Rank Correlation and Concurrent Deviation method, Probable error.
UNIT-III
Regression: Introduction, Aim of Regression Analysis, Types of Regression Analysis, Lines of Regression, Properties of Regression Coefficient and Regression Lines, Comparison with Correlation.
Curve Fitting: Straight Line, Parabolic curve, Geometric Curve and Exponential Curve
Baye’s Theorem in Decision Making, Forecasting Techniques
UNIT-IV
Sample introduction, Sampling: Meaning, methods of Sampling, Statistical Inference: Test of Hypothesis, Types of hypothesis, Procedure of hypothesis Testing, Type I and Type II error, One Tailed and two tailed Test, Types of test of Significance: Test of significance for Attribute-Test of No. of success and test of proportion of success, Test of significance for large samples – Test of significance for single mean and Difference of mean, Test of significance for small samplest-test) – test the significance between the mean of a random sample, between the mean of two independent samples
Chi square Test, ANOVA: Meaning, Assumptions, One way classification, ANOVA Table for One-Way Classified Data
REFERENCE BOOKS
- Gupta S.P. and Kapoor, V.K., Fundamentals of Applied statistics, Sultan Chand & Sons, 1996.
- Gupta S.P. and Kapoor, V.K., Fundamentals of Mathematical statistics, Sultan Chand and Sons, 1995.
- Graybill, Introduction to Statistics, McGraw.
Anderson, Statistical Modelling, McGraw.
