institute core course title: research and technical
TRANSCRIPT
Institute Core
COURSE TITLE: RESEARCH AND TECHNICAL COMMUNICATION
COURSE CODE: HSI500
DURATION: 13 weeks; (39 lectures)
Introduction to Research Communication
Grammar & Rhetoric
Sentential and supra sentential structure, Narrative and structuring argument; Common
Errors in composition
Reading Skills for Literature Review:
Previewing techniques; Understanding the gist of an argument;
Identifying the topic sentence; inferring lexical and contextual meaning; recognizing
coherence and sequencing of sentences
Writing Skills (PART 1):
Sentence formation; Use of appropriate diction; Paragraph and Essay Writing;
Coherence and Cohesion.
Summarization, paraphrasing, outlining, Non Linear description, Narrative, Instruction
and reporting, Descriptive, Explanatory, Analytical and Argumentative Writing,
enhancing editing skills, Punctuation.
Writing Skills (PART 2):
Introduction to Terminology, Concept of Research
Preparing Research Proposal/ Synopsis
Term Paper Writing
Formulating Thesis Statement
Using Quotations & Substantiation of Quotes
Writing Introduction
Referencing (All Style Sheet)
Footnotes/ Endnotes
Writing Conclusion
Preparing Appendix
Preparing Bibliography (All Style Sheet)
Preparing Abstract
Writing Acknowledgement
Concept of Key Words
Preparing Content page/ List of Tables and Figures
Using classified materials, Plagiarism, and copyright material
Presentation Skills
Course
Type
Course
Code Name of Course L T P Credit
PhD-DC HSC 501 Research Methodology 3 0 0 9
Course Objective Develop scientific thinking with research to research in the social sciences
Learning Outcomes Upon successful completion of this course, students should:
Be aware of the various research methodologies used in social research
Critically evaluate research findings in area of interest/expertise
Work towards producing original research in their area of interest
Unit No.
Topics to be Covered Lecture Hours
Learning Outcome
1
Foundations of Research:
Scientific research: meaning, types, history
Research thinking: constructs, variables,
operationalization, hypotheses
Research Process: paradigms, steps, pitfalls
Scientific Theories: Types, constituents, attributes
9
Understand the basic foundations
and philosophy of social
scientific research
2 Reviewing Literature:
Narrative, Scoping, Systematic and Meta-analysis
Literature Review Protocol
6
Understand how to critically
analyze research evidence in
social sciences
3
Empirical Research: Research Design: triangulation, concepts and types
Measurement: process, levels & scales, reliability &
validity
Sampling: need, strategies
6
Have a broad overview of judging
empirical research
4
Data Collection: Primary sources: qualitative and quantitative
techniques
Secondary Sources: documents, content-analysis
6
Awareness about methods of
social data collection
5
Data Analysis:
Quantitative Methods: description, inference,
predictions
Qualitative Methods: strategies and operations
6
Understand data analysis tools
used in social research
6 Emerging Issues in Social Research:
Fixing the qualitative and quantitative divide
Big data: social research in the digital age
6
Appreciation of critical
challenges in conducting social
research
Required Reading:
Bhattacherjee, A. (2012). Social Science Research: Principles, Methods, and Practices.
Textbooks Collection. 3. [Available freely at http://scholarcommons.usf.edu/oa_textbooks/3 ]
Recommended Readings:
Bryman, A. (2012). Social Research Methods. Oxford: OUP
Neuman, W.L. (2014). Social Research Methods: Qualitative and Quantitative Approaches.
Edinburgh: Pearson
Siddaway, A.P., Wood, A.M., & Hedges, L.V. (2019). How to do a systematic review: A best
practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-
syntheses, Annual Review of Psychology, 70, 9.1 – 9.24
Baumister, R. F. & Leary, M.R. (1997). Writing narrative literature reviews, Review of
General Psychology, 1(3), pp. 311-320
Salganik, M.J. (2019). Bit-by-Bit: Social Research in the Digital Age. Princeton: Princeton
University Press
Course
Type
Course
Code Name of Course L T P Credit
PhD-DC HSC 504 Social Theory and Sociological Perspectives 3 0 0 9
Course Objective
The course focuses on major theoretical frameworks to analyse culture, institutions, organizations,
relations, interactions and identity. The intention is to clarify and critically discuss how these levels of
analysis can elucidate social phenomena and how a specific phenomenon can be studied and analysed
through different sociological theories.
Learning Outcomes
Upon successful completion of this course, students will be able to:
Familiarize themselves with select major social and sociological perspectives;
Identify the factors of social phenomena and comprehend them with reference to several
theoretical framework
Use social/sociological theory for research and practice.
Unit
No. Topics to be Covered
Lecture
Hours
Learning
Outcome
1 Social/Sociological Theory Meaning, types and characteristics of theory
Role of Theory in Research
3
To introduce the
social theory
2
Functionalist Perspectives Origin of Functionalism
Meaning and general arguments of Functionalism
Contributions of:
B. Malinowski: Culture and Function, views on primitive
society
A.R. Radcliffe-Brown: Social structure, structural
functionalism
T. Parsons: Voluntaristic Action Theory, Notion of System,
Pattern variables
9
To introduce
functionalist
perspectives of
social theory
3
Structuralist and Conflict Perspectives Meaning and General Arguments
Contribution of:
Claude Levi‐Strauss: Structuralism
L. Althusser – structural Marxism; Ideological state apparatus
K. Marx: Inequality and conflict
R. Dahrendorf: Dialectical conflict theory
L. Coser: Conflict Functionalism
9
To introduce the
structuralist views
and conflict
theory
4
Interactionist Perspectives General Arguments
Contributions of:
G. H. Mead: Mind, Self, Society
C. H. Cooley: Looking-glass self
H. Blumer: Symbolic interactionism
E. Goffman: Dramaturgy, Presentation of self in everyday life
9
To introduce the
Interactionist
view
5 Phenomenology and Ethnomethodology General Arguments
Contributions of:
9
To introduce the
phenomenological
and ethno-
Schultz: The phenomenology of social world
Garfinkel: Ethno‐methodology
P. Berger and Luckmann: The social construction of reality
methodological
perspectives
TOTAL LECTURE HOURS 39
Essential Readings:
Alexander, Jeffrey C. 1987. Twenty Lectures: Sociological Theory since World War II. New
York: Columbia University Press.
Althusser, L. 2006. For Marx, London: Verso
Berger, P. And T. Luckmann. 1967. The Social Construction of Reality, New York: Anchor.
Blumer, H. 1969. Symbolic Interactionism, N.J.: Prentice Hall.
Brittan Arthur 1973 Meanings and Situations. London: Routledge and Kegan Paul
Collins, R. 1997. Sociological Theory. Jaipur and New Delhi: Rawat.
Craib, Ian. 1992. Modern Social Theory: From Parsons to Habermas (2nd edition). London:
Harvester Press.
Dahrendorf, R. 1959. Class and Class Conflict in Industrial Society: London: Routlegde and
Kegan Paul.
Garfinkel. Harold. 1984. Studies in Ethno‐methodology. Oxford, Blackwell
Mead, G.H. 1962. Mind, Self and Society. Chicago: Chicago University Press.
Merton, R.K. 1968. Social Theory and Social Structure. New York: Free Press
Parsons, T. 1951. The Social System. New York: Free Press.
Schutz, A. 1967. The Phenomenology of the Social World, Evanston: Northwestern Universit
y Press.
Sturrock, John ed. 1979. Structuralism: From Levi Strauss to Derida. Oxford: Oxford Univer
sity Press.
Suttles G. 1972. The Social Construction of Communities University of Chicago Press.
Turner, Jonathan H. 2006. Handbook of Sociological Theory. Springer
Waters Malcom 2000. Modern Sociological Theories. London: Sage Publications
Zeitlin, I. M. 1998. Rethinking Sociology: A Critique of Contemporary Theory. Jaipur: Rawat
Further Readings:
Bottomore, Tom. 1984. The Frankfurt School. Chester, Sussex: Ellis Horwood and London:
Tavistock Publications.
Collins, R. 1994. Four Sociological Traditions, New York, Oxford University Press
Ritzer, G. & Goodman. 2003. Modern Sociological Theory, New York: McGrow‐Hill
Ritzer, G. 1992. Sociological Theory, New York: McGraw‐Hill
Course Type Course
Code Name of Course L T P Credit
PhD -DC HSC 508 Understanding Philosophy 3 0 0 9
Course Objective
A critical survey of some of the major Western and Indian philosophical viewpoints to bring to the fore their
significance in human lives.
Learning Outcomes
Upon successful completion of this course, students will:
be able to understand the basic concept of Western and Indian Philosophy
Improve the ability to think creatively and critically.
Unit
No. Topics to be Covered
Lecture
Hours Learning Outcome
1
Introduction: Introduction, Philosophy and
Critical thinking, traditional divisions of
Philosophy, Free will, Causations.
6
To understand the fundamental
issues of Philosophy.
2
The Major Branches of Philosophy: Metaphysics
Epistemology
Ethics and Applied Ethics
Logic
9
To know about the philosophy and
its branches
3
Western Philosophical Quest: Classical Period
Modern Western Philosophy
9
To understand the key concept of
western philosophy.
4
Indian Philosophical Systems: Vedas and Upanishads
Bhagavad Gita
Orthodox and Heterodox Systems
9
To be acquainted with the key
concept Indian philosophical
systems.
5
Philosophy of Religion:
Proves for the Existence of God
Problem of Evil
6
To comprehend the major
philosophical themes Philosophy
of religion.
Total 39
BOOKS RECOMMENDED
1. Thilly, F., A History of Philosophy, Central Book Depot, Allahabad, 1984
2. Sharma, C.D., Critical Survey of Indian Philosophy, Motilal Banarasidas, New Delhi, 1960
3. Sinha, Jadunath. Outlines of Indian Philosophy. Varanasi: Pilgrim Publishing, 1999.
4. Hiriyanna, M, The Essentials of Indian Philosophy, George Allen and Unwin Ltd., London, 1949.
Course
Type
Course
Code Name of Course L T P Credit
PhD-DC HSC 509 Perspectives on Human Behaviour 3 0 0 9
Course Objective
The objective of the course is to familiarize students with a variety of personality theories, their
history, and applications.
Learning Outcomes
Upon successful completion of this course, students should:
Be able to understand influential personality theories and constructs
Be able to identify meaning and appropriate application of course concepts
Be able to explain personality-related processes that underlie individual differences in behavior
Be able to recognize the interaction of situational and individual characteristics on the
development of personality
Unit
No. Topics to be Covered
Lecture
Hours Learning Outcome
Personality: Basic concepts, Evaluation,
Classification of theories 6
Understanding the foundations
of personality, definition, basic
concepts
Type and Trait Theories
6
Understanding the various
type and trait approaches by
highlighting the basic
concepts, strengths and
limitations of each.
Psychodynamic approaches: Freud, Jung,
Adler, Erikson and Horney
9
Understanding the concepts of
psychoanalysis and also the
strengths and limitations of
other psychodynamic
approaches
Humanistic approaches: Maslow, Rogers,
Bandura, Influence of existential psychology 9
Understanding the different
humanistic theories and seeing
its application if life.
Contemporary issues: Moderns views on
personality, cultural influences, Indian
perspectives 9
Recognising the current issues
and debates in personality
research by focusing on
contemporary research on
personality and contextual
understanding of personality
Readings:
Theories of Personality by Richard M. Ryckman, 9th edition
Theories of Personality by Duane P. Schlutz and Sydney Ellen Schultz, 10th edition
The Oxford Handbook of Personality and Social Psychology Edited by Kay Deaux and Mark
Snyder
Course Objective This course aims to give students training in basic quantitative methods used in social sciences
Learning Outcomes Upon successful completion of this course, students should:
Develop analytical skills in problem solving
Implement various quantitative techniques using software (Python/R)
Develop intuitive understanding of the quantitative techniques
Write beginner-intermediate level programs in Python/R
Unit No.
Topics to be Covered Lecture Hours
Learning Outcome
I
Data Literacy Basics:
Changing face of social research.
Understanding data: datasets, spreadsheets, big
data.
Self-study:*
Installation, Basic functions, Data Types in
Python/R
4
Understand how research
particularly data collection and
analysis are changing with
coming of big data
2
Data Management:
Types of Data: Measurement scales, Variables
Self-study:*
Conditionals, Importing data and string
manipulation, Cleaning Data in Python/R
4
Understand types of data and
concept of tidy data
3
Description: Making summaries Visualization techniques – types, when to use which
plot
Descriptive statistics – measures of central tendency
and measures of variability
Self-study:*
Making plots and visualization, and calculating s
summary statistics in Python/R
6
Familiarity with various graphical
and descriptive statistical methods
4
Inference: Understanding causes
Hypothesis testing: basic concepts, assumptions
t-test, ANOVA
Self-study:*
Implementing t-test, ANOVA in Python/R
6
Understand how statistics are used
to answer the question of WHY in
social research.
5
Prediction: Guessing the future
Association: Correlation, Causation
Regression: Basics, Types
Self-study:*
Implementing Correlation and Regression in
Python/R
6
Understand how statistics can be
used to make predictions about
social variables.
*NOTE:
Self-study is for learning software (Python/R) techniques using resources identified by
course instructor or by student. Each week will have a target syllabus which the students
can complete on their own pace but within the week. The techniques learned in the
previous week will be applied in the class using social variables.
Course
Type
Course
Code Name of Course L T P Credit
PhD-DC HSC 502 Fundamentals of Data Analysis 2 0 0 6
Text Book:
Canning, J. (2014). Statistics for the Humanities. Brighthon, UK. Retrieved from
http://statisticsforhumanities.net/book/
Required Reading:
Dierker, l. (2021). Passion Driven Statistics. Retrieved from:
https://ldierker1.github.io/passiondrivenstatistics/
R Track:
Navarro, D. (no date). Learning statistics with R. Available freely at:
https://learningstatisticswithr.com/
OR
Python Track:
Weed, E. (no date). Learning statistics with Python. Available freely at:
https://ethanweed.github.io/pythonbook/landingpage.html
Optional Readings:
Salganik, M.J. (2017). Bit by Bit: Social Research in the Digital Age. Princeton, NJ:
Princeton University Press.
Urdan, T.C. (2016). Statistics in Plain English. Routledge
Resources for Self-study
Python:
https://www.datacamp.com
https://www.py4e.com/
https://www.youtube.com/playlist?list=PL8nC8L7kjElf5sAXep7wwY06HW3JvfQ5S
R:
https://www.datacamp.com
https://swirlstats.com/
https://youtu.be/_8A0zx51BKs?list=PL2fQHGEDK7YzW-06PZYcboa1IfcqTSil-
Course
Type
Course
Code Name of Course L T P Credit
DC HSC 503 SEMINAR COURSE 0 0 3 3
Course Objective
The course aims to give students a practical overview of academic research process.
Learning Outcomes
Upon successful completion of this course, students will:
be able to undertake independent literature review.
develop skills for analyzing, critiquing and synthesizing diverse views/findings.
to enhance their scientific writing and presentation skills.
Unit
No. Topics to be Covered Week/s Learning Outcome
1 Introduction
Assignment of Topic 1
2 Exploratory Review:
Undertake a scoping or narrative review of selected area and
summarize findings. 2 - 4
Student will be able to
carry out an academic
review
3
In-Depth Review:
Undertake an extensive/systematic/critical review of a
selected area. The review should result in identification of
gaps in the area, a methodology to address the gap and
potential contribution of the study.
The presentation will be similar to a project proposal.
5 - 9
Student will be able to
carry literature review in
depth developing skills
of critiquing.
Student will also gain
familiarity in with
project proposals.
4
Study:
A study (empirical/survey/conceptual/analytical/descriptive)
will be carried out. Presentation will include background,
literature, methodology/theoretical frame-work, findings and
discussion
10 - 12
Student learns to carry
out a scholarly study and
present findings in as
expected in an academic
environment
5
A term paper similar to a journal article will be required.
This may be prepared taking a new topic or from the
seminars already given in the course.
13
Student gains familiarity
with academic writing
skills.
NOTE:
The student is required to organize and present his findings in unit 2, unit 3 and unit 4 in
the form of a seminar and also submit a term-paper in the final week of the course. In
addition, the student will be required to submit a written report every week to the course
instructor at the scheduled lab meetings.
Suggested Readings:
Petticrew, M. & Roberts, H. (2006). Systematic Reviews in the Social Sciences. Malden:
Blackwell Publishing