Semester 7Year 4 · OddCore Subject★ Easy
CS 705

Research Methodology

Study of research process, literature review, hypothesis testing, experimental design, data collection, and academic writing.

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4
Units
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28
Topics
4
Credits
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60h
Lecture hrs
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100
Max marks
Your Progress
0 / 28 topics
0% complete
Overview
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Why it matters
Research methodology is essential for pursuing higher studies (M.Tech, PhD), writing technical papers, conducting experiments, and building a career in academia or R&D. Understanding how to formulate problems, design experiments, and present findings is critical.
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Placement relevance
Required for PhD admissions. Research internships at IITs, IISc, Microsoft Research. Publication record boosts profile. Essential for R&D roles at core companies. Less direct placement impact but crucial for academic path.
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Prerequisites for
M.Tech/MS Programs · PhD · Research Internships · Technical Paper Writing · Patent Filing · Academic Career
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Recommended books
Research Methodology by C.R. Kothari · The Craft of Research by Wayne C. Booth · How to Write a Thesis by Umberto Eco · Research Design by John W. Creswell
Curriculum — 4 Units
U1
Unit 1 · 7 Topics · 0% complete
Research Fundamentals
Key Formulae
Research Process:Problem → Literature → Hypothesis → Method → Data → Analysis → Conclusion
What is Research?
Research Types (Basic, Applied)
Research Problem Formulation
Literature Review Process
Research Objectives
Research Questions
Ethics in Research
U2
Unit 2 · 7 Topics · 0% complete
Research Design & Methods
Key Formulae
Hypothesis Testing:Null hypothesis (H₀) vs Alternative hypothesis (H₁)
Sample Size:Larger sample → more reliable results (statistical significance)
Experimental Design
Quantitative vs Qualitative Research
Sampling Techniques
Data Collection Methods
Surveys & Questionnaires
Case Studies
Variables (Independent, Dependent)
U3
Unit 3 · 7 Topics · 0% complete
Data Analysis & Statistics
Key Formulae
p-value:p < 0.05 → statistically significant (reject H₀)
Correlation:r ∈ [-1, 1]; r=1 (perfect positive), r=-1 (perfect negative)
Descriptive Statistics (Mean, Median, Mode)
Inferential Statistics
Hypothesis Testing (t-test, ANOVA)
Correlation & Regression
p-value & Significance
Data Visualization
Statistical Software (R, SPSS)
U4
Unit 4 · 7 Topics · 0% complete
Academic Writing & Publication
Key Formulae
IMRaD:Introduction, Methods, Results, and Discussion
Citation:IEEE: [1], [2]; APA: (Author, Year)
Research Paper Structure (IMRaD)
Abstract Writing
Citation Styles (APA, IEEE)
Plagiarism & Referencing
Peer Review Process
Journal vs Conference Papers
Presentation Skills
Previous Year Questions
Unit 12023 · End Semester10 marks
Define research problem. How do you formulate a research problem in computer science? Give an example from AI/ML domain. Explain the importance of literature review.
Unit 32023 · End Semester8 marks
Given dataset: [23, 45, 12, 67, 34, 56, 89]. Calculate mean, median, mode, standard deviation. Perform a t-test to check if mean differs from 50 (α=0.05).
Unit 42022 · End Semester6 marks
Explain the structure of a research paper (IMRaD). What are the key components of an abstract? Compare IEEE and APA citation styles.
Exam Strategy
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Research process steps
Problem formulation → Literature review → Hypothesis → Methodology → Data collection → Analysis → Conclusion. Know this flow. Explain with examples.
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Statistics calculations
Mean, median, mode, standard deviation, t-test — practice 3-4 problems. Know when to use t-test vs ANOVA. p-value < 0.05 = significant.
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Paper structure
IMRaD format (Introduction, Methods, Results, Discussion). Abstract writing (200 words, objective, method, results). Citation styles (IEEE vs APA). Always asked.