Research Methodology MCM Semester 3

MCM Semester 3 Research Methodology Nagpur University Syllabus Course and Classes

Atlanta 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.

Paper - IV: Compulsory Foundation

Compulsory Foundation: Research Methodology

Research process, Problem and Hypothesis: About Research - Introduction, Application of research, Definitions of research,
Characteristics/Features of a good research, Types of research, Research Methods and Methodology, Research/Scientific Methods/Discovery, Research approaches, Application of research in management (Research applications in marketing
management, Production management, Financial management, Human resource management, Current status of research in India), Limitations of research. Research Process - Defining and Formulating the Research Problem, Extensive Literature Survey,
Development of the Working Hypothesis, Preparing the Research Designs, Determining the Sample Designs, Collecting the Data (Data Collection), Execution of the Project, Analysis of the Data, Hypothesis Testing and Verification, Generalization, Interpretation
and drawing conclusions, Preparation of the report or writing the thesis. Research Problem - What is Research Problem?, Components of a research problem, Selection of a research problem, Technique involve in defining a research problem, Sources of problem, Research Proposal or Synopsis, Preparing synopsis for the research, Preparing research Plan. Hypothesis - Sources of hypothesis, Origin of hypothesis, Characteristics of a good hypothesis.

Research Design and Sampling Design: About Research Design - Introduction, Definition, Components of a research designs, Concepts related to research designs, Types of research designs. Sampling Design -Definition of sampling?, Features of the sampling technique, Essentials of an ideal sample, Types of sampling, Selecting/Calculating the sample size, Determination of sample size n When estimating the population mean, Some basic technologies of sampling, Common sampling distribution, Sampling theory.

Data Collection, Preparation of Questionnaire and Schedule:
About Data Collection - Introduction, Primary data, Secondary data, Collection of primary data, Sources of secondary data, Creating a mechanism for gathering secondary data. Questionnaire and Schedule - Merits, Demerits, Formulation of Questionnaire, Various Method/ Technique for getting the Response, Construction of Questionnaire, Schedule, Types of Schedules, Difference between Questionnaire and Schedules, Types of Questions, Case Study Method.

Analysis of Data, Hypothesis Testing, Role of SPSS and Excel:
Analysis of Data -Introduction, Processing of data, Diagrammatic presentation in research, Scaling. Role of Statistics -Relational Statistics, Inferential Statistics(Inductive Statistics), Measures of Central Tendency, Types of central tendency or Average, Standard Deviation, Skewers, Correlation , Z-Test, t-Test or t-Distribution. Research Hypothesis - Introduction of Research hypothesis, The Rationale for Hypothesis Testing, A General Procedure for Hypothesis Testing, Steps Involved in Hypothesis
Testing, Procedure for Testing Hypothesis, Two-Sides and One-Sided Tests. Role of SPSS - Introduction, The Variables view, Statistical Types in SPSS, The SPSS Interface, Running procedures from the Menus, SPSS output files. Role of MS Excel -Excel and Research, The Excel spreadsheet, The Spreadsheet - The Container, Parts of the Spreadsheet, Create a new File, Save a new file, Open an existing file, Close a file, Navigating the spreadsheet, A simple spreadsheet, Simple formulas, Insert row and columns, Sorting, Chart wizard, Using Excel to determine a confidence interval, Using Excel for t-test of hypothesis, The t-test for Dependent(and Matched-Pair) Samples, Using Excel for ANOVA, Using Excel for Correlation, Using Excel for Linear Regression, Using Excel for Chi-Square Tests.

Text Book:
1. Mukul Gupta , Deepa Gupta, Research Methodology, PHI.

Reference Books:
1. Dr. C. R. Kothari, Research Methodology, New Age International (P Ltd) Publishers.
2. Dr. J. Y. Khan, Research Methodology, A. T. H. Publishing Corporation.
3. Dr. Prasant Sarangi, Research Methodology, Taxmann‗s.
4. Briony J Oates, Researching Information Systems and Computing, SAGE Publications.
5. Uma Sekaran & Roger Bougie, Research Methods for Business, Wiley.
6. Dr. Vijay Upagade & Dr. Arvind Shende, Research Methodology, S. Chand.

New MCM Syllabus Semester Pattern  From 2016 - 17

MCM Semester 1


1.  Fundamental of Information Technology 

2.  Programming in C & OOPs Concept

3.  Introduction to Operating Systems 

4.  Computerized Accounting ( Tally ERP 9  ) 


1. Practical-I : Programming in C & Operating Systems

2. Practical-II : Tally ( ERP 9 ) & MS-Office 

MCM Semester 2


1.  Management Information Systems

2.   Core Java 

3. Quantitative Techniques & Operation Research

4.  E-Commerce and Web Designing 


1. Practical-I : Core Java 

2. Practical-II : HTML, JavaScript 


MCM Semester 3

 (A) Theory

1. Advanced Database Management System 

2. Principles & Techniques of Management

3.  Electives

               ( i )     PHP & My-SQL

              ( ii )     VB.Net 

              ( iii )     C#.Net                 

4.  Research Methodology

 (B) Practical

1. Practical-I : SQL & PL/SQL 

2. Practical-II : Electives 

MCM Semester 4

 (A) Theory

1. ASP.Net 

2. Electives : (i) Advanced Java

                            (ii) Android Programming

                            (iii) Python

3.  Electives :   ( i ) Big Data & Hadoop  

                             ( ii ) Software Engineering   

                            ( iii )Strategic Management

(B) Practical

1. Practical-I : ASP.Net 

2. Practical-II : Electives 

(C)  Project



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