UNIT-I

**Foundations of Research: **Meaning, Objectives, Motivation, Utility. Concept of theory, empiricism, deductive and inductive theory. Characteristics of scientific method – Understanding the language of research – Concept, Construct, Definition, Variable

**Research Process:** Problem Identification & Formulation – Research Question – Investigation

Question – Measurement Issues – Hypothesis – Qualities of a good Hypothesis –Null Hypothesis

& Alternative Hypothesis. Hypothesis Testing – Logic & Importance

UNIT-II

**Research Design:** Concept and Importance in Research – Features of a good research design –

Exploratory Research Design – concept, types and uses, Descriptive Research Designs – concept, types and uses. Experimental Design: Concept of Independent & Dependent variables

**Qualitative and Quantitative Research:** Qualitative research – Quantitative research – Concept

of measurement, causality, generalization, replication. Merging the two approaches

UNIT-III

**Measurement:** Concept of measurement– what is measured? Problems in measurement in research – Validity and Reliability. Levels of measurement – Nominal, Ordinal, Interval, Ratio

**Sampling:** Concepts of Statistical Population, Sample, Sampling Frame, Sampling Error, Sample Size, Non Response. Characteristics of a good sample. Probability Sample – Simple Random Sample, Systematic Sample, Stratified Random Sample & Multi-stage sampling. Determining size of the sample – Practical considerations in sampling and sample size.

UNIT-IV

**Data Analysis**: Data Preparation – Univariate analysis (frequency tables, bar charts, pie charts, percentages), Bivariate analysis – Cross tabulations and Chi-square test including testing hypothesis of association

**Interpretation of Data and Paper Writing**– Layout of a Research Paper, Journals in Computer Science, Impact factor of Journals, When and where to publish? Ethical issues related to publishing, Plagiarism and Self-Plagiarism

**UNIT-V**

Use of Encyclopedias, Research Guides, Handbook etc., Academic Databases for Computer Science Discipline

**Use of tools / techniques for Research**: methods to search required information effectively,

Reference Management Software like Zotero/Mendeley, Software for paper formatting like

LaTeX/MS Office, Software for detection of Plagiarism

** JNTUK Pre Ph.D Research Methodology Syllabus Paper I Tutorial/Notes Check below **

** **UNIT-I

1.Meaning, Objectives, Motivation

2. Concept of theory in Research methodology

3.Empiricism Research Methodology

4.Deductive and inductive theory in Research Methodology

5.Characteristics of scientific method in research methodology

6. Understanding the language of research – Concept, Constructs, Definition

7.Understanding the language of research - Variables

8.Research process - Research Methodology

10. Problem Identification and Formulation

11.Research Question, Investigation Question, Measurement Issues

12.Hypothesis – Qualities of a good Hypothesis

13. Types of Hypothesis-Null Hypothesis & Alternative Hypothesis

14. Hypothesis Testing – Logic & Importance

15. Numerical Problems on Hypotheses Testing

UNIT-II

**Research Design:**

- Concept and Importance in Research
- Features of a good research design
- Exploratory Research Design – concept, types and uses
- Descriptive Research Designs – concept, types and uses
- Experimental Design: Concept of Independent & Dependent variables

**Qualitative and Quantitative Research:**

- Quantitative research
- Concept of measurement in Quantitative research
- Qualitative research process
- causality, generalization, replication.
- Merging the two approaches

** UNIT-III**

Chapter-I

- Measurement: Concept of measurement– what is measured?
- Problems in measurement in research – Validity and Reliability.
- Levels of measurement – Nominal, Ordinal, Interval, Ratio.
- characteristics of a good measurement.

Chapter-II:

- Sampling: Concepts of Statistical Population, Sample, Sampling Frame, Sampling Error, Sample Size, Non Response.
- Characteristics of a good sample.
- Probability and Non-probability sampling methods
- Probability Sample –

- Simple Random Sample
- Systematic Sample
- Stratified Random Sample
- Systematic Sampling Vs Stratified Random Sampling
- Multi-stage sampling.

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