## Wednesday, 22 August 2012

## SYLLABUS FOR Pre‐Ph.D. COURSEWORK (For all subjects under the Faculty of Engineering & Technology (Except Pharmacy)

RESEARCH METHODOLOGY & COMPUTER APPLICATIONS

1.Research:

a) Types, Research process and steps in it, Hypothesis, Research proposals and aspects.

b) Research Design: Need, Problem Definition, variables, research design concepts,

Literature survey and review, Research design process, Errors in research.

c) Research Modeling: Types of Models, Model building and stages, Data consideration

and testing, Heuristic and Simulation modeling.

d) Report Writing: Pre writing considerations, Thesis writing, Formats of report writing,

Formats of publications in Research journals.

2. Design of Experiments:

a) Objectives, strategies, Factorial experimental design, Designing engineering

experiments, basic principles‐replication, randomization, blocking, Guidelines for design

of experiments.

b) Single Factor Experiment: Hypothesis testing, Analysis of Variance components

(ANOVA) for fixed effect model; Total, treatment and error of squares, Degrees of

freedom, Confidence interval; ANOVA for random effects model, Estimation of variance

components, Model adequacy checking.

c) Two factor Factorial Design, Basic definitions and principles, main effect and

interaction, response surface and contour plots, General arrangement for a two‐factor

factorial design; Models‐Effects, means and regression, Hypothesis testing.

3. Computer Applications :

a. Spreadsheet Tool: Introduction to spreadsheet application, features and functions,

Using formulas and functions, Data storing, Features for Statistical data analysis,

Generating charts/ graph and other features. Tools used may be Microsoft Excel,

Open office or similar tool.

b. Presentation Tool: Introduction to presentation tool, features and functions,

Creating presentation, Customizing presentation, Showing presentation. Tools

used may be Microsoft Power Point, Open Office or similar tool.

c. Web Search: Introduction to Internet, Use of Internet and WWW, Using search

engine like Google, Yahoo etc, Using advanced search techniques.

References:

1. Montgomery, Douglas C. (2007), 5/e, Design and Analysis of Experiments, ( Wiley India)

2. Montgomery, Douglas C. & Runger, George C. (2007), 3/e, Applied Statistics & Probability

for Engineers (Wiley India)

3. Kothari C.K. (2004), 2/e, Research Methodology‐ Methods and Techniques ( New Age

International, New Delhi)

4. Krishnaswamy, K.N., Sivakumar, Appa Iyer and Mathiranjan M. (2006), Management

Resarach Methodology; Integration of Principles, Methods and Techniques ( Pearson

Education, New Delhi)

5. The complete reference Office Xp – Stephan L. Nelson, Gujulia Kelly (TMH)

6. Basic Computer Science and Communication Engineering – R. Rajaram (SCITECH)

7. Book for Open Office.

EXAMINATION SCHEME FOR THE PRE-PH.D. COURSE WORK FOR THE FACULTY

OF ENGG. & TECH.

1. Examination Scheme:

a) The question paper will be of 100 marks.

b) There will be five questions of twenty marks each. All the five questions shall be

compulsory.

c) The pattern of the question paper shall be as follows.

2. Evaluation Scheme:

SHIVAJI UNIVERSITY, KOLHAPUR.

FACULTY OF ENGINEERING & TECHNOLOGY

Syllabus For PHARMACY Pre Ph.D. Coursework

RESEARCH METHODOLGY

1. Research:

1.1 Definition of research, Applications of research and types, Research process and steps in it,

Deductive and inductive reasoning; Validity-conclusion, internal, construct and external.

1.2 Literature review- Need, Procedure- Search for existing literature, Review the literature

selected, Develop a theoretical and conceptual framework, Writing up the review, Formulating a

research problem: Sources, Considerations, Steps in formulation of a problem, formulation of

objectives, Definition of variables – Concepts, indicators and variables, Types of variables, Types

of measurement scales, Constructing the Hypothesis- Null(Research) and alternative, one-tailed

and two-tailed, Hypothesis testing, errors in testing.

1.3 Research Modeling: Types of Models, Model building and stages, Data consideration and

testing, Heuristic and Simulation modeling, Data collection methods, Surveys-types and method

selection.

2. Research Design:

2.1 Design of Experiments: Objectives, strategies, Factorial experimental design, Designing

engineering experiments, basic principles- replication, randomization, blocking, Guidelines for

design of experiments, Simple Comparative Experiments-Basic statistical concepts, random

variable, sample mean and variance, degrees of freedom, standard normal distribution, statistical

hypothesis, Two sample t-test, P-value, Confidence Intervals, Paired comparisons,

2.2 Single Factor Experiment: Analysis of Variance (ANOVA) for fixed effect model; Total

treatment and error sums of squares, Decomposition of total sum of squares, ANOVA for

Randomized complete block design to control effects of nuisance factors.

2.3 Two factor Factorial Design: Basic definitions and principles, main effect and interaction,

response surface and contour plots, General arrangement for a two-factor factorial design; Models-

Effects, means and regression.

2.4 Taguchi Techniques for Experimental Design: Taguchi loss function, Average loss,

nominal-the-best, smaller-the-best, larger-the-best, design process steps, selection of factors

affecting- methods, factor levels, Test strategies- Full factorial experiment, fractional factorial

experiment, Orthogonal arrays and their selection; Parameter Design- Control and noise factors

and parameter design, signal to noise ratio, types, parameter design strategy, tolerance design,

robust design.

3. Research Proposal: Contents-Preamble, the problem, objectives, hypothesis to be tested, study

design, setup, measurement procedures, analysis of data, organization of report; Displaying datatables,

graphs and charts, Writing a research report- Developing an outline, Key elements-

Objective, Introduction, Design or Rationale of work, Experimental Methods, Procedures,

Measurements, Results, Discussion, Conclusion, Referencing and various formats for reference

writing of books and research papers, Report Writing- Prewriting considerations, Thesis writing,

Formats of report writing, Formats of publications in Research journals

4. Drug Regulatory Affairs: Indian Patent Act 1970, its amendments, concepts of IPR, criteria for

granting patents and filing a Indian patent, PCT, Patent infringement. INDA/NDA/ANDA filing. Para-

I, II, III, IV filing. Hatch-Waxman amendments. Introduction to Patent Search. OECD guidelines for

chemical testing pertaining to use as drug, related substances, excipients, toxicity, etc. WHO guidelines

for standardization of raw material and finished products including herbal products.

5. Pharmaceutical Analysis: Principles and applications of the following: Absorption spectroscopy

(UV, visible and IR). Principles of NMR, ESR, Mass spectroscopy, X-ray diffraction analysis and

different chromatographic techniques and methods, Thermal Techniques.

6. Computational Analysis and Its Applications In Pharmaceutical Sciences:

Introduction to the creation and advancement of databases, algorithms, computational and

statistical techniques for data analysis. Applications of computational analysis in prediction of

protein structure, modelling biological systems like ion channels and biomembranes, predicting

ADME of drugs and drug like substances, predicting toxicity of xenobiotics/drugs, predicting

protein – biomolecule interactions, predicting protein/receptor-ligand interactions, predicting

polymer-drug interactions, etc. Introduction to molecular design and modelling softwares,

computational genomics, bioinformatics, health informatics, cheminformatics, metabolic network

modelling, enzyme-network modelling, graphics processing unit for molecular simulations,

biomedical imagery and high troughput image analysis. Applications of Microsoft excel for

quantitative and statistical data analysis.

References:

Central Drugs Standard Control Organization http://cdsco.nic.in/

http://www.patentoffice.nic.in/

http://www.ignou.ac.in/schools/sos/ipr_web2/IPR_Awareness/Web%20pages/UNIT%204.pdf

http://en.wikipedia.org/wiki/

www.pci.nic.in/contents.htm

www.oecd.org/dataoecd/9/11/33663321.pdf

http://www.fda.gov/fdac/special/testtubetopatient/studies.html

http//www.fda.gov/cder/about/smallbiz/faq

Available at: http//www.fda.gov/cder/consumerinfo

http//www.fda.gov/cder/consumerinfo/generic_info/generics_question_brochure

Ranjit Kumar, (2006), Research Methodology- A Step-By-Step Guide for Beginners, (Pearson

Education, Delhi) ISBN: 81-317-0496-3

Trochim, William M.K., (2003), 2/e, Research Methods, (Biztantra, Dreamtech Press, New Delhi),

ISBN: 81-7722-372-0

Montgomery, Douglas C. (2007), 5/e, Design & Analysis of Experiments, (Wiley India)

Montgomery, Douglas C., & Runger, George C. (2007), 3/e, Applied Statistics & Probability for

Engineers, (Wiley, India)

Kothari, C.K., (2004), 2/e, Research Methodology- Methods and Techniques, (New Age

International, New Delhi)

Ross, Philip J. (1996), 2/e, Taguchi Techniques for Quality Engineering, (McGraw Hill, NY)

Besterfield, Dale H. (2005), 3/e, Total Quality Management, (Pearson Education, New Delhi)

Krishnaswamy, K. N., Sivakumar, Appa Iyer and Mathirajan, M. (2006), Management Research

Methodology: Integration of Principles, Methods and Techniques (Pearson Education, New Delhi).

EXAMINATION SCHEME FOR THE PRE-PH.D. COURSE WORK FOR THE FACULTY

OF ENGG. & TECH.

1. Examination Scheme:

a) The question paper will be of 100 marks.

b) There will be five questions of twenty marks each. All the five questions shall be

compulsory.

c) The pattern of the question paper shall be as follows.

Q. 1. Objective questions of multiple choice type.

20 questions to be answered out of 25 (13 of 25 the questions will be based on Research

Methodology (RM) and remaining 12 based on quantitative techniques (QT) and computer

applications (CA).)

Q. 2. Short answers type questions (any four out of six)

a), b) & c) based on R. M.

d), e) & f) based on QT & CA

Q. 3. Long answer type questions (any two out of four)

a) & b) based on R.M.

c) & d) based on QT & CA

Q. 4. Preparation of any suitable research proposal

(Detailed Scheme)

Q. 5. Short notes (any two out of four)

2. Evaluation Scheme:

a) The answer papers will be assessed independently by two examiners - one internal and the

other external.

b) The candidate must obtain minimum an average of 40 % marks to qualify in the course

work.

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