Syllabus for
Doctor of Philosophy (Computer Science)
Academic Year (2019)
1 Semester - 2019 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
RES131
FOUNDATIONS OF RESEARCH
Core Courses
4
4
100
RES132
RESEARCH PUBLICATION
Core Courses
4
4
100
RSC131
METHODS IN RESEARCH FOR SCIENCE
Discipline Specific Elective Courses
4
4
100
RSC132
RESEARCH WRITING FOR SCIENCE
Discipline Specific Elective Courses
4
4
100
RES131 - FOUNDATIONS OF RESEARCH (2019 Batch)
Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4
Course Objectives/Course Description
Philosophical foundations of research are the scenario of higher education provided. Various approaches to research, review of literature and application of theory are also included.
Course Outcome
Reflections on the hilosophical foundations of research
Knowledge of the history and context of higher education
Knkowledge about various approaches to research
Review of literature
Application of theory
Unit-1
Teaching Hours:14
Philosophical foundations of Research
Ethics and values in Research, Scope of Interdisciplinary, multi-disciplinary and cross disciplinary research, Doctoral Supervision and supervisory styles, Types of Doctoral Research and implications, Pedagogy and Research: Research Informed teaching and Problem Based learning
Unit-2
Teaching Hours:16
Higher Education
History of Higher Education, The notion of University, Disciplines and Domain knowledge, Accreditations and Educational Policy, The Public Intellectual
Unit-3
Teaching Hours:16
Approaches to Research & Review of literature
Quantitative, Qualitative and mixed methods, Relationship between Research Paradigms, Designs and methods, Research Designs and its types, Research methods, Conceptualisation of Research problem in different research approaches, Research questions, Review of literature: Research Topic, Review of Literature in quantitative, qualitative and mixed methods, Steps in conducting Literature Review, Literature map, Abstracting studies, Literature Summary matrix, , Types of Reviews, Identification of Research Gap, Overview of Style manuals, Operational and Theoretical Definitions
Unit-4
Teaching Hours:14
Application of theory
Theory in quantitative research, Writing a Quantitative theoretical framework, Theory in Qualitative and mixed methods, Research proposals format for quantitative, Qualitative and mixed methods (Practical)
Text Books And Reference Books:
Creswel, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches. Los angeles: University of Nebraska–Lincoln.
Essential Reading / Recommended Reading
Altbach, P. G., Reisberg, L., & Rumbley, L. E. (2019). Trends in global higher education: Tracking an academic revolution. BRILL.
Denzin, N.K. and Lincoln, Y.S. (eds.). (2011). The Sage handbook of qualitative research. Thousand Oaks: Sage.
Fink, A. (2019). Conducting research literature reviews: From the internet to paper. Sage
Fuller, S. (2019). Philosophy of science and its discontents. Routledge.
Herr, K. and Anderson, G.L. (2005). The action research dissertation. Thousand Oaks, CA: Sage.
Johnson, A.P. (2005). A short guide to action research. Boston: Pearson Education.
Kindon, S., Pain, R., and Kesby, M. (eds). (2007). Participatory action research approaches and methods. NY: Routledge.
McNiff, J. and Whitehead, J. (2006). All you need to know about action research. Thousand Oaks, CA: Sage.
Reason, P. and Bradbury, H. (eds.). (2006). Handbook of action research. Thousand Oaks, CA: Sage.
Internal Assessements are designed to improve knowledge of and skill in all sections of the course
Each unit is evaluated separately and all units have equal weightage
Not attending more than four hours of lectures of each unit will require the scholar to repeat the unit
RES132 - RESEARCH PUBLICATION (2019 Batch)
Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4
Course Objectives/Course Description
This course introduces the candidates to various journals, proceedings, books and conferences. It also helps them in collaborating with the scholars of various fields.
Learning Objectives
To provide the researchers the information, knowledge, and skills to identify academic journals of various quality
To be able to know about the industry of publishing journals
To teach the researchers how to submit articles to journals
To understand the advantages, disadvantages, responsibilities and ethics of collaborative publishing
Course Outcome
On Successful completion of this course, research scholars will be able to:
choose journals based on their quality
work in different processes in journal publishing
submit research articles independently
collaborate with scholars and researchers
Unit-1
Teaching Hours:15
Quality Measures of Journals
The concept and history of indexing
Indexing Agencies
Various Review Methods
Indexing Parameters
Open Access Publications,
Unit-2
Teaching Hours:15
Journal Publishing
Types of Journals
Domain based Journals
University Publications
Private Publications
Individual Publications
Regional Publications
Society/Association Publications
Economics of Journal Publishing
Article Processing Charges
Unit-3
Teaching Hours:15
Article Submission
Journal Databases
Journal Template
Plagiarism
Submission Processes: Editorial Manager, OJS, Referee List
Unit-4
Teaching Hours:15
Academic Collaboration
Collaboration in Research
Collaboration in Research Publication
Merits of Collaboration
Authorship preferences
Tools of Collaboration
Types of Authors
Text Books And Reference Books:
Coser, L. A., Kadushin, C., & Powell, W. W. (1982). Books: The culture and commerce of publishing (p. 22). New York: Basic Books.
Essential Reading / Recommended Reading
Cross, R., Taylor, S & Zehner, D (2018). Collaboration Without Burnout, Harvard Business Review, July–August, pp.134–137.
Ferris LE & Winker MA, (2017). Ethical issues in publishing in predatory journals, Biochem Med (Zagreb). 27(2):279-284. doi: 10.11613/BM.2017.030.
Habibzadeh, F., & Simundic, A.-M. (2017). Predatory journals and their effects on scientific research community. Biochemia Medica, 27(2), 270–272. http://doi.org/10.11613/BM.2017.028
Laine, C., & Winker, M. A. (2017). Identifying predatory or pseudo-journals. Biochemia Medica, 27(2), 285–291. http://doi.org/10.11613/BM.2017.031
Lippi, G. (2017). How do I write a scientific article?—A personal perspective. Annals of Translational Medicine, 5(20), 416. http://doi.org/10.21037/atm.2017.07.43
Prater, C. 8 Ways to Identify a Questionable Open Access Journal, https://www.aje.com/en/arc/8-ways-identify-questionable-open-access-journal/ accessed on July 3, 2018
Saha, I & Paul, B (2017). Research submission: Some technicalities and vital links, Med J Armed Forces India. 74(2): 165–168. doi: 10.1016/j.mjafi.2017.10.006
Shewan, L. G., & Coats, A. J. (2010). Ethics in the authorship and publishing of scientific articles.
Evaluation Pattern
Internal Assessements are designed to improve knowledge of and skill in all sections of the course
Each unit is evaluated separately and all units have equal weightage
Each unit has about 12 lecture hours and 3 library/practical hours
Not attending more than four hours of lectures of each unit will require the scholar to repeat the unit
RSC131 - METHODS IN RESEARCH FOR SCIENCE (2019 Batch)
Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4
Course Objectives/Course Description
This course introduces scholars to the Python Programming, MATLAB, Origin, Tikz and LaTeX Draw, thus enabling them to develop skills of numeric computation, data analysis and visualization, programming and algorithm development and application development.
Course Learning Objectives
To provide the knowledge of MathLab, Origin and Python.
To explore the possibilities of using Python language as a tool for learning Mathematics.
To develop the skill of preparing documents using LaTeX also to develop the skill of drawing figures using Tikz
Course Outcome
On successful completion of the course, the students should be able to:
Explore and visualize data using MATLAB and ORIGIN commands and functions
Import data from heterogeneous sources
Build predictive models using MATLAB and ORIGIN Toolbox
Prepare documents using LaTeX
Draw mathematical figures using Tikz
Unit-1
Teaching Hours:16
Origin: Data Analysis and Technical Graphics Software
Introduction to ORIGIN, Introduction to ORIGIN Graphing Elements, Creating Simple Graphs, Graph Customization and Technicalities, Workbook, Worksheets and Columns, Graphical Exploration of Data, Themes and Templates, Graphing Data from multiple sheets, Row Statistics, Data Analysis [Peak Analysis, Curve Fitting, Statistics].
Unit-2
Teaching Hours:14
Python Programming
Installation, IDES, Introduction, Hardware components, Software components, The Operating system, Programming in Python, formatted printing, Visualizing data with graphs, Algebra and symbolic math with Symphy, Graphs as a python class, Graph Density, Distance and diameter of a graph, The complete python graph class.
Unit-3
Teaching Hours:14
Data analysis using MATLAB
Introduction to MATLAB [Variables, Matrices, Built-in Functions, Arrays, Structure, Cell], MATLAB Programming [Inline functions, control structures, Programming syntax, Script files and Functions files], solution of Differential equations, Data Visualization and Data Exploration Techniques [Data import/export, Plots, Statistics basics], Models for Data Analysis [Regression Models, Classification Models [Using of Statistic Toolbox].
Unit-4
Teaching Hours:16
Latex and Tikz
Introduction, Preparing an input file, The document, Document class, The title page, Changing the type style, Mathematical formulas, Mathematical Symbols, Defining commands and environments, Other document classes, Pictures and colors, Erros, The bibliography database, Reference manual, Drawing lines and curves using Tikz, Filling up areas, Putting labels in Pictures, Integration with beamer.
Text Books And Reference Books:
A very minimal introduction to TikZ, Jacques Cremer, Toulouse School of Economics.
D. M. Etter, Introduction to MATLAB, 3rd ed., Prentice Hall, 2014.
Doing Maths with Python Amit Saha, no starch press:San Fransisco, 2015.
Origin 9.1 User Guide – OriginLab.
Essential Reading / Recommended Reading
Deng, E., & Huang, L. (2019). An Elegant LATEX Template for Books.
Johansson, R. (2019). Introduction to computing with python. In Numerical Python (pp. 1-41). Apress, Berkeley, CA.
Lode, C. (2019). Better Books with LaTeX: Self-Publish Your Book on Amazon and Google. Clemens Lode Verlag eK.
Origin: Data Analysis and Technical Graphics Software, Microcal Software, Microcal Software Incorporated, 1999
Payne, J. R. (2019). Introduction to Computer Programming and Python. In Python for Teenagers (pp. 1-16). Apress, Berkeley, CA.
S. Attaway, MATLAB: A Practical Introduction to Programming and Problem Solving, 3rd Edition, 3rd ed., Elsevier Inc., 2013.
W. L. Martinez et. al., Exploratory Data Analysis with MATLAB, 2nd ed., CRC Press, 2010.
Evaluation Pattern
Internal Assessements are designed to improve knowledge of and skill in all sections of the course
Each unit is evaluated separately and all units have equal weightage
Not attending more than four hours of lectures of each unit will require the scholar to repeat the unit
RSC132 - RESEARCH WRITING FOR SCIENCE (2019 Batch)
Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4
Course Objectives/Course Description
The course aims to enable researchers to use their reading ability and the material they read to develop the writing skills their work requires. It will serve as a foundation for publications and thesis writing later on during the course of the PhD programme.
Course Learning Objectives
To provide the researchers the information, vocabulary and skills you need quickly and easily so that they can write confidently using the style and structure they see in the journals they read.
To discover the conventions of structure, organization, grammar and vocabulary in science writing in the field of the researchers and will provide them with the tools to write in a similar way and at a similar level.
To teach the researchers how to turn their research into a paper that can be submitted to a professional journal.
To be able to get the information, the language and vocabulary for writing a dissertation in English.
Course Outcome
On Successful completion of this course, research scholars will be able to:
write their scientific papers using a conventional structure of writing for Mathematics
acquire academic vocabulary for their Mathematics writing/dissertations/theses
read research articles critically and evaluate the contents in terms of English language
publish scientific papers in peer-reviewed journals emanating from countries that have English as the first language
acquire subject specific communication skills that serve the purpose of conferences / seminars / workshops / colloquia / symposia / teaching / viva voce
Unit-1
Teaching Hours:15
How to Write an Introduction
Structure of Introduction Section
Grammar and Writing Skills for Introduction Section
Writing Task: Build a Model
Vocabulary for Introduction Section
Writing an Introduction Section
Unit-2
Teaching Hours:15
Writing about Methodology
Structure, Grammar and Writing Skills
Writing Task: Build a Model
Vocabulary for Writing a Results Section
Unit-3
Teaching Hours:15
Writing about Results
Structure, Grammar and Writing Skills
Writing Task: Build a Model
Vocabulary for Writing a Results Section
Unit-4
Teaching Hours:15
Writing the Discussion/Conclusion and Abstract
Structure, Grammar and Writing Skills
Writing Task: Build a Model, Vocabulary for Discussion / Conclusion Section
Writing a Discussion / Conclusion Section
Structure, Grammar and Writing Skills
Writing Task: Build a Model Vocabulary for Abstract
Writing an Abstract.
Text Books And Reference Books:
H. Glasman-Deal, Science research writing: for non-native speakers of English. World Scientific, 2010.
Essential Reading / Recommended Reading
S. Bailey, Academic writing a handbook for international students. Routledge, 2018.
M. Cargill and P. O'Connor, Writing Scientific Research Articles: Strategy and Steps, 2nd Edition. John Wiley and Sons, 2013.
H. G. Danner, Thesaurus of english word roots. Rowman and Littlefield, 2014.
R. B. Maddox and R. B. Maddox, A transition to abstract mathematics: mathematical thinking and writing. Academic Press/Elsevier, 2009.
A. Meyers, Longman academic writing series. Pearson Education, Inc., 2014.
J. Morley,Academic phrasebank. Manchester: University of Manchester.[online], Available at: http://www.phrasebank.manchester.ac.uk
R. Murray and S. Moore, The Handbook of academic writing: a fresh approach. Open University Press, 2006.
D. K. Pugalee, Writing to develop mathematical understanding. Christopher-Gordon Publishers, Inc., 2005.
A. Ramet, Creative writing: how to unlock your imagination and develop your writing skills. How To Books, 2010.
Evaluation Pattern
Internal Assessements are designed to improve knowledge of and skill in all sections of the course
Each unit is evaluated separately and all units have equal weightage
Not attending more than four hours of lectures of each unit will require the scholar to repeat the unit