Ph.D./M.Phil Course work Syllabus
Research Methodology
UNIT – I
Introduction: Definition of Research, Qualities of Researcher, Components of Research Problem, Various Steps in Scientific Research, Types of Research; Hypotheses Research Purposes - Research Design - Survey Research - Case Study Research.
UNIT-II
Data Collection: - Sources of Data: Primary Data, Secondary Data; Procedure Questionnaire - Sampling Merits and Demerits - Experiments - Kinds - Procedure; Control Observation - Merits
- Demerits - Kinds - Procedure - Sampling Errors - Type-I Error - Type-II Error.
UNIT-III
Statistical Analysis: Introduction to Statistics - Probability Theories - Conditional Probability, Poisson Distribution, Binomial Distribution and Properties of Normal Distributions, Point and Interval Estimates of Means and Proportions; Hypothesis Tests, One Sample Test - Two Sample Tests / Chi-Square Test, Association of Attributes - t-Test - Standard deviation - Co-efficient of variations - Index Number, Time Series Analysis, Decision Tree.
UNIT -IV
Statistical Application: Correlation and Regression Analysis - Analysis of Variance, Completely Randomized Design, Randomized Complete Block Design, Latin Square Design - Partial and Multiple Correlation - Discriminate Analysis - Cluster Analysis - Factor Analysis and Conjoint Analysis - Multifactor Evaluation, Two-factor Evaluation Approaches.
UNIT - V
Research Reports: Structure and Components of Research Report, Types of Report, Good Research Report, Pictures and Graphs, Introduction to SPSS.
Computer Application
· Introduction
Classification of computers, computer memory, types of software’s: application of system software’s operating systems and types, single user, multi user, multi-tasking single tasking, application of computer for business and research.
· Data Communication and networks
Data communication concepts, local area network, wide area network, internet, intranet, extranet, website. Email, search engines-enterprise E communication and E collaboration
· MS Office and its application
File handing in window, various versions of MS Office, M S-Word: Test formatting, Mail merge, Macro, M S-Excel: Features, various formulas and functions M.S. Power Point: Creating presentations and adding effects.
· SPSS
Introduction to SPSS: Definition, objectives and features, data analysis using SPSS: Data entry creating variables, switching to data labels, data analysis: Frequencies, recording into different variables, cross tabulations and layers.
· Application of Internet in research
INFLIBNET, Use of Internet, sights (DOAJ), Use of E Journals, Use of E- library, use of EBSCO HOST online database of Academic Libraries.
Quantitative Method
1. Meaning and definition of quantitative method
2. Arranging data to convey meaning – Tables, Graphs and Frequency Distribution
3. Measures of Central Tendency and Dispersion
4. Simple and Multiple regression and correlation
5. Association of Attributes
6. Probability – probability Distributions, Binomial, Poisson and Normal
7. Liner Programming - Formulation and Graphical solution to two variables – Assignment Problems, Transportation problems
8. Queuing Theory – Single Server and Multi-Server
9. Markov chains with Simulation Techniques – Monte Carlo Simulation
10. Game theory – 2x2 zero sum game with dominance – pure strategy and mixed strategy
11. Decision Theory – 5 criteria of decision making
12. Chi-square
13. Discriminant Analysis
14. Factor Analysis
15. Cluster Analysis
16. Multidimensional Scaling
17. ‘T’ Test
18. ‘F’ Test
Reviewing of Published Research in the Relevant Field
· Examining the methods of evaluating and interpreting published research.
· Developing skills needed to research available literature for information relevant to a given topic.
· Exploring the principles and techniques of topic/project development and testing.
· Examining the methods of evaluating and interpreting data collected in the research process.
· Developing an understanding of the various statistical methods that can be used to analyze data.
· Demonstrating the ability to use statistical analysis tools and apply them in decision making activities.
· Demonstrating the ability to create a template document that can be used to complete your research project or thesis
The above phase of course work classes shall be completed in a semester. The university shall manage part time or continue/residential classes for course work.
Study plan-
The course work classes are mandatory to attend 3 days in a month alternatively. The assignment should be submitted time to time.
Evaluation examination held in end of course time.
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