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Unit 01 • 4 Lecture Hours

Introduction to Research Methodology

The philosophical, conceptual, and procedural foundations of scientific inquiry in computer applications.

TU Weightage: 10 - 15 MarksCore: Method vs Methodology • 7-Stage Process
Core Memory Anchors: Introduction to Research Methodology
10-Mark Question (Research Process & Concepts)

💡 Elaboration Strategy: परीक्षा हलमा यी मुख्य Anchor Points स्मरण राख्नुभयो भने प्रत्येक बुँदालाई प्राज्ञिक रूपमा विस्तार गरेर सजिलै २ देखि ३ पृष्ठको पूर्ण १०-मार्क्सको उत्तर तयार गर्न सकिन्छ।

1

Re + Search: फेरि खोज्ने systematic तरिका

Research भनेको Google मा random खोज्नु वा हचुवामा अनुमान लगाउनु होइन। यो पहिले स्थापित भइसकेको ज्ञानलाई controlled र व्यवस्थित प्रक्रियाबाट फेरि जाँचेर नयाँ तथ्य पत्ता लगाउने वैज्ञानिक यात्रा हो।

Exam मा Clifford Woody को formula लेख्नुस्: Problem define गर्ने -> Hypothesis बनाउने -> Data संकलन गर्ने -> Deductions निकाल्ने -> Conclusion जाँच्ने।
2

Method vs Methodology: हतियार vs चलाउने रणनीति

Method भनेको तपाईँको हातमा भएको 'Tools' हो (जस्तै Survey, t-test, Python script)। तर Methodology भनेको 'Reasoning' हो—किन त्यही tool रोजियो? अरू किन काम लागेन? त्यसको पछाडिको वैज्ञानिक आधार नै Methodology हो।

Exam मा सिधै ४-रो को Table बनाउनुस्: एकातिर Tools (What) र अर्कोतिर Philosophical Logic (Why)।
3

Science + Social Science + Computer Applications को संगम

Science ले empirical प्रमाण र hypothesis जाँच्न सिकाउँछ; Social Science ले प्रयोगकर्ताको मनोविज्ञान र HCI बुझाउँछ; र Computer Applications ले कोड र algorithms मार्फत कामलाई automate गर्छ।

HCI को उदाहरण दिनुस्: मान्छेलाई सफ्टवेयर चलाउन कत्तिको सजिलो भयो (Social) र सिस्टमको execution latency कति घट्यो (Computer)।
4

७-चरणको वैज्ञानिक प्रक्रिया (The 7-Stage Pipeline)

Research हचुवामा सुरु हुँदैन: १. Problem चिन्ने -> २. Literature survey गर्ने -> ३. Hypothesis बनाउने -> ४. Design तयार गर्ने -> ५. Data संकलन गर्ने -> ६. Analysis गर्ने -> ७. Thesis लेख्ने।

Exam मा यो ७-stage को flowchart बनाएर directional arrows देखाउनुस्, १० मा १० मार्क्स ल्याउने सबैभन्दा सजिलो बाटो यही हो।
Section 01

Science, Social Science and Computer Applications

Scientific research in Computer Applications does not exist in an intellectual vacuum. It represents a powerful convergence of physical science, human social dynamics, and computational machinery:

1. Pure Science

Supplies the core epistemological principles: formulation of empirical hypotheses, mathematical proofs, experimental control, and reproducibility.

2. Social Science

Supplies the human and contextual domain: studying how individuals interact with technology, user cognitive load, ergonomic usability, and sociological impacts.

3. Computer Applications

Supplies computational realization: algorithms, distributed architectures, databases, and automated tools that execute scientific methods at scale.

👨‍🏫शिक्षकको बोर्ड नोट (Teacher's Board Note)
Science ले वैज्ञानिक नियम (Scientific Rigor) सिकाउँछ, Social Science ले मानिसको मनोविज्ञान र आवश्यकता बुझाउँछ, र Computer Applications ले ती दुवैलाई प्रविधि र सफ्टवेयर मार्फत वास्तविक जीवनमा कार्यान्वयन गर्दछ।
Section 02

What is Research? (Re + Search)

Etymologically, the term “Research” originates from the prefix Re (again) and the verb Search (to examine closely). Hence, research signifies searching repeatedly with a systematic scientific method to discover hitherto unrevealed truths.

Authoritative Academic Definitions for Examination:

  • • Clifford Woody: “Research comprises defining and redefining problems, formulating hypotheses or suggested solutions, collecting, organizing, and evaluating data, making deductions and reaching conclusions.”
  • • John W. Best: “Research is considered to be the more formal, systematic, intensive process of carrying on the scientific method of analysis.”
🎯 TU Exam Tip:TU को ५-मार्क्स वा १०-मार्क्सको प्रश्नमा Clifford Woody वा John W. Best को नाम सहितको परिभाषा उद्धृत गर्दा परीक्षकले सिधै उच्च अंक दिन्छन्।
Section 03

Research Method vs Research Methodology

Distinguishing between Method and Methodology is one of the most frequently tested 5-mark conceptual distinctions in the TU syllabus:

Comparative DimensionResearch Method (विधि)Research Methodology (विधि-विज्ञान)
Core DefinitionThe practical tools, techniques, and procedures used to gather and analyze data.The overarching philosophical and theoretical rationale behind the choice of methods.
Scope & HierarchyA specific operational subset within the broader methodology.The broad master framework that encompasses and justifies all methods.
Central Question“What instrument was applied and how was data collected?”“Why was this particular approach selected over alternative strategies?”
Concrete ExamplesSurveys, In-depth interviews, t-tests, ANOVA, Chi-Square, Python Pandas.Positivist quantitative paradigm, interpretivist qualitative design, Mixed-Methods.
👨‍🏫शिक्षकको बोर्ड नोट (Teacher's Board Note)
डाक्टरको उदाहरण सम्झिनुहोस्: डाक्टरले बिरामीको ज्वरो नाप्ने थर्मोमिटर वा रगत जाँच्ने सुई Method (साधन) हो। तर बिरामीको समग्र अवस्था हेरेर कुन मेडिकल सिद्धान्त अनुसार उपचार गर्ने भन्ने समग्र योजना Methodology (दर्शन र कार्ययोजना) हो।
Section 04

Core Types of Research

Basic (Fundamental) vs Applied Research

• Basic Research: Undertaken solely to expand the frontiers of human knowledge and develop mathematical/scientific generalizations (e.g., proving theoretical bounds of quantum sorting).

• Applied Research: Undertaken to solve an immediate, practical problem facing society, an enterprise, or computing system (e.g., developing an AI chatbot for TU student grading inquiries).

Descriptive vs Analytical Research

• Descriptive Research: Answers “What is happening?” Portrays an accurate static snapshot of facts through surveys and frequencies without altering variables.

• Analytical Research: Answers “Why or how is it happening?” Employs critical evaluations, regression, and hypothesis testing to uncover causal relationships.

Section 05

The 7-Stage Scientific Research Process

Every rigorous investigation in computer applications progresses through 7 systematic, interdependent phases:

DIAGRAM 1.1: 7-STAGE SCIENTIFIC RESEARCH PROCESS PIPELINETU Exam Essential Diagram
[Step 1: Problem Identification] ───> Identify broad issue, define boundaries, isolate Research Gap
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[Step 2: Literature Review] ───> Backward/forward citation search, avoid redundant wheel-reinvention
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[Step 3: Hypothesis Formulation] ───> Define testable Null (H₀) & Alternative (H₁) hypotheses
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[Step 4: Research Design] ───> Experimental/Descriptive blueprint, control extraneous variables
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[Step 5: Sampling & Data] ───> Probability/Non-probability selection, administer instruments
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[Step 6: Data Analysis] ───> Clean data, execute t-test, ANOVA, Chi-Square in SPSS/Python
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[Step 7: Interpretation & Report] ──> Validate against hypotheses, draft formal APA/IEEE thesis
🎯 Must-Draw Examination Diagram:१० नम्बरको प्रश्नमा यो ७-स्टेपको फ्लोचार्ट कापीको बीचमा ठूलो बनाएर कोर्नुहोस् र हरेक बक्सको तल २-३ बुँदामा व्याख्या गर्नुहोस्। परीक्षकले सिधै Full Marks दिन्छन्।
High-Probability Exam Blueprint

TU Exam Model Q&A Bank — Unit 1

5 Past & Model Questions

💡 यी प्रश्नहरू विगतका TU परीक्षा तथा सिलेबसका मुख्य उद्देष्यहरूबाट संकलन गरिएका हुन्। उत्तरपुस्तिकामा Full Marks पाउन चाहिने मोडेल ढाँचा यहाँ प्रस्तुत गरिएको छ।

शिक्षकको छोटो सारांश (One-Minute Exam Recall):
रिसर्च भनेको पहिले भएका तथ्यलाई व्यवस्थित तरिकाले फेरि खोज्नु (Re + Search) हो। यसका ४ मुख्य विशेषता: Systematic (क्रमबद्ध), Empirical (प्रमाणमा आधारित), Controlled (बाहिरी तत्व नियन्त्रण गरिएको), र Verifiable (अरूले पनि जाँच्न मिल्ने) हुन्।

Standard Model Answer Structure:

1. Definition: Research is a systematic, controlled, empirical, and critical investigation of hypothetical propositions about presumed relations among natural phenomena (Re + Search = searching again systematically to discover novel facts and verify existing theories).

2. Primary Objectives: Exploratory (gaining familiarity/insights into an uncharted problem), Descriptive (portraying accurate characteristics of a system or group), Diagnostic (determining frequency of an occurrence and its associations), and Hypothesis-Testing (verifying causal relationships between independent and dependent variables).

3. Core Characteristics: Controlled (isolating extraneous variables), Rigorous (adhering to relevant procedures), Systematic (logical sequential progression), Valid & Verifiable (verifiable through empirical evidence), and Empirical (grounded in observable reality rather than speculation).

4. Significance in Society & Computer Science: Facilitates evidence-based software engineering, eradicates cognitive bias, drives technological innovation, and optimizes computational resource allocation.

✍️ Essential Answer Keywords / Must-Draw Elements:
✓ Re + Search✓ Empirical Evidence✓ Controlled Environment✓ Exploratory vs Diagnostic✓ Systematic Progression
Back to CoverNext: Unit 2 (Research Topic & Literature Survey)