Research Methodologies - IGNOU
Research Methodology
Credits: 2 Credits Course Coordinator: Akshay Kumar
-----------------------
OBJECTIVES
After going through this course a student will be able to:
• Define the need and purpose of your research
• Define the process of identifying your research area.
• Identify and use literature for your research
• Appreciate the process of proposal writing
• Appreciate the methods of data preparation and analysis
• Use the methods of data interpretation and visualization
SYLLABUS
This course comprises of 2 Blocks.
• Block 1 discusses the conceptual framework of research and introduces to various aspects of problem definition, designing methodologies and the process of technical writing. Block 2 is focused on explaining some of the common tools and techniques used in the research methods. This block provides details on topics like data preparation, data analysis tools and data interpretation and visualisation. It also present simple case study.
▪ Block 1: Fundamental
• Unit 1: Introduction to Research in Computer Science
o What is research?
o Motivation and objectives of research
o Purpose and types of research
▪ Descriptive vs Analytical
▪ Fundamental vs Applied
▪ Quantitative vs Qualitative
▪ Conceptual vs Empirical
o Approaches to Research: Scientific, Historical and Institutional
o Introduction to Basic Philosophical Foundations – Positivism, Central Tenets of Positivist Philosophy, Criticism of Positivism, Post-Positivism, Karl Popper and Critical Rationalism, Thomas Kuhn and Growth of Knowledge, etc.
o Models of Scientific Explanation - Hypothetico-Deductive (H-D) Model, Deductive Nomological (D-N) Model, Inductive- Probabilistic (I-P) Model
• Unit 2: Problem definition and Analysis
o Literature Survey and Review
o Finding Relevant Literature
o Cross Discipline research
• Unit 3: Introduction to Designing Methodologies
o Models
o Simulations
o Research design
• Unit 4: Technical and Ethical Writing
o Basic Steps in Framing a Research Proposal
o Good and bad writing
▪ Block 2: Tools and Techniques
• Unit 5: Data Preparation
o Gathering
o Cleaning
o Pre-processing
o Interpolation
• Unit 6: Data Analysis Tools
o Statistical
o Numerical Methods
o Optimisation
• Unit 7: Interpretation and Visualisation
o Regression
o Graphing
• Unit 8: Case Study
REFERENCE BOOKS:
REFERENCE COURSE MATERIAL
JOURNAL ARTICLES
WEBSITE REFERENCES
RELEVANT VIDEOS
ASSIGNMENTS
HANDOUTS / SLIDES USED FOR THE PRESENTATIONS
NEWS / ANNOUNCEMENTS
EMAIL: akshay@ignou.ac.in
120, School of Computer and Information Sciences (SOCIS),
C-Block, First Floor, IGNOU Academic Complex,IGNOU,
Maidangarhi, New Delhi – 110068. Tel: +91-11-29572914
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.