phd_syllabus research methodology (modified)

7/29/2019 PHD_syllabus Research Methodology (Modified)

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1.0 RESEARCH METHODOLOGY

Teaching Scheme: Contact Hours: 3 hrs/week

Marking Scheme:

Continuous Assessment: 25 Marks End Semester Examination: 100 Marks

1. Introduction: Defining Research, Scientific Enquiry, Hypothesis, Scientific Method,

Types of Research, Applications of research, Research Process and steps in it. ResearchProposals Types, contents, sponsoring agents requirements, Ethical, Training,

Cooperation and Legal aspects. Indian Patent Act 1970, its amendments, concepts of IPR

2. Research Design: Meaning, Need, Concepts related to it, categories; Literature Surveyand Review, Dimensions and issues of Research Design, Research Design Process

Selection of type of research, Selection of suitable experimental design, Measurement

and measurement techniques, Selection of Sample, Selection of Data CollectionProcedures, Selection of Methods of Analysis, Errors in Research.

3. Research Problem: Problem Solving Types, Process and Approaches Logical,Soft System and Creative; Creative problem solving process, Development of Creativity,

Group Problem Solving Techniques for Idea Generation Brain storming and Delphi

Method.

4. Report Writing: Pre-writing Considerations, Principles of Thesis Writing, Formats of

Report Writing & Publication in Research Journals

Unit 1: Formulating Problem Statement

Overview of research process: Formulating the Research Problem, Extensive Literature

Review, Developing the objectives, preparing the Research Design including Sample Design,Collecting the Data, Analysis of Data, Generalization and Interpretation, preparation of the

Report or Presentation of Results-Formal write-ups of conclusions reached.Problem statement Conditions and steps in selecting a research problem, Understanding

the Key research area of interest, How to get new ideas (Criticizing a paper), Finding agood problem: Top-down and Bottom-up approach, Creative thinking techniques,

Coming up with a problem statement Defining objectives How to find objectives,characteristics of objectives

Unit 2: Literature survey

Overview What is literature survey, Functions of literature survey, maintaining a notebook,developing a Bibliography Methods of data collection Observation, survey, contact

methods, experimental, determining sample design Searching for publications Publicationdatabases, search engines and patent databases, Find some/all of the references for a given

paper, including those that are not on the web Online tools google, CiteSeer, Scopus, ACMDigital Library, IEEE, The on-line Computer Science bibliography, Survey papers, Finding

material not on the web, Searching patentsUnit 3: How to study a scientific paper

Summarizing paper Reading abstracts and finding ideas, conclusion, Advantages of theirapproach, the drawbacks of the papers (What is lacking can be found in the sections such as


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future work) Generalize results from a research paper to related research problemsComparing the approach - Identify weaknesses and strengths in recent research articles in the

subject

Unit 4: Publishing a paper

How to write scientific paper - Structure of a conference and journal paper, how (and HowNot) to write a Good Systems Paper: Abstract writing, chapter writing, discussion,

conclusion, references, bibliography, and In-class discussion of technical writing examples,Poster papers, review papers, how to organize thesis/ Project report, How to write a research

proposal? How research is funded? Research ethics Legal issues, copyright, criteria forgranting patents and filing an Indian patent, plagiarism General advice about writing

technical papers in English - Tips for writing correct English, Guidelines in writing a rebuttal,addressing the technical and non-technical issues associated with the publication process in

refereed, peer reviewed international journals

Unit 5: How to present scientific paper

Talk structure, basic presentations skills Documentation and presentation tools LATEX,Microsoft office, PowerPoint and SLITHY

ASSIGNMENTS:

1) Exercises on Design of experiments (DoE) and soft computing skills

2) Hands on experiences to conduct Literature survey and exposure to review of literature

3) Writing and presenting a review paper on the research area / field chosen

4) Publishing paper/s in national/international conferences5) How to write a research proposal for funding?

6) Get acquainted with the online process of submitting papers to refereed/peer reviewed

international journals and writing rebuttal7) How to write research synopsis and thesis? Exercises to prepare Formats, index,

abbreviations, tables, figures, graphs, photographs, scanned images, mathematical

equations, acknowledgements, references, citations8) Procedural steps forfiling an Indian patent

Reference Books:

1. Research methodology: an introduction for science & engineering students, by

Stuart Melville and Wayne Goddard

2. Research Methodology: An Introduction by Wayne Goddard and Stuart Melville

3. Research Methodology: A Step by Step Guide for Beginners, by Ranjit Kumar,2nd Edition

4. Research Methodology: Methods and Trends, by Dr. C. R. Kothari5. Operational Research by Dr. S.D. Sharma, Kedar Nath Ram Nath & co.

6. Software Engineering by Pressman


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2.0 SIMULATION AND OPTIMIZATION TECHNIQUESTeaching Scheme: Contact Hours: 2 hrs/week

Marking Scheme:

Continuous Assessment: 25 Marks End Semester Examination: 50 Marks

1. Research Modelling: (a) Mathematical Classification of Models, Development ofModels, Stages in Model building, Principles of Modelling, Use of Analogy, Models asApproximations, Data consideration and Testing of Models (b) Heuristics and Simulation

Definition, Applications and reasons for using Heuristics, Heuristic Methods and

approaches, Meta-Heuristics; Simulation Meaning, Applications and Classification ofSimulation Models, Process of Simulation, Steps and Features of Simulation Experiments

and their Validation.

2. Simulation: System and System Environment: Components of a system, Continuous

and discrete systems, Models of a system, Modeling. Random Number Generation:

Methods and Tests for random number generation, Random Variable Generation,

Simulation of Systems: Simulation of continuous system, Simulation of discrete system,Simulation of event occurrences using random numbers. Simulation of component

failures, using Exponential and weibull models. Input modeling and output analysis,

Simulation Applications: Single server queue problems and multi-server queue problems,Inventory system, Network problem, Shop Floor problems in a manufacturing

environment.

3.a. Classical Optimization Techniques: Single-variable and Multi-variable Optimization,Hessian Matrix, Saddle Point, Lagrange Multipliers Method and Kuhn-Tucker

Conditions.

b. Single-variable Optimization Techniques: Unrestricted Search, Interval-halvingMethod, Fibonacci Method, Golden-section Method, Newton Method, Secant Method

c. Multi-variable Optimization Techniques:, Steepest Descent Method, ConjugateGradient Method, Davidon- Fletcher-Powell Method

References:

1. Design of thermal system: Stocker2. Design of thermal system: Juleria

phd_syllabus research methodology (modified)

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