Pune University PET Exam Question Papers

Can you provide me the Syllabus for Ph.D. (PET) Entrance Exam: Bioinformatics offered by Savitribai Phule Pune University on which question paper is based?

The Syllabus for Ph.D. (PET) Entrance Exam: Bioinformatics offered by Savitribai Phule Pune University on which question paper is based is as follows:

Research Methodology

1. Foundation of Research: Meaning, Objectives, Motivation, Utility. Concept of theory, empiricism, deductive and inductive theory Characteristics of scientific method - understanding the language of research - Concept, Construct, definition, Variable Research Process –Steps of research, methods of research

2. Problem Identification & Formulation: definition and formulating the research problem, Necessity of defining the problem, Importance of literature review in defining a problem, Literature survey: primary and secondary; web sources; critical literature review. Research Question - Investigation Question - Hypothesis Testing - Qualities of a good hypothesis - Null hypothesis & Alternative Hypothesis.

3. Research Design: Concept and Importance in Research - Features of a good research design - Exploratory Research Design - Concept, Types and uses, Descriptive Research Design - concept, types and uses. Experimental Design - Concept of Independent & Dependent variables. Biased and unbiased research design.

4. Types ofBiological data and nature of research: Qualitative data – Quantitative data Concept of measurement, causality, generalization, replication Basic concepts in qualitative and quantitative data analysis

5. Data Collection: Execution of the research - Observation and Collection of data - Methods of data collection Databases (GenBank, ENA, UniProtKB, PDB, GEO) searching databases, data retrieval, preparing data sets, data curation - Positive and negative data sets - hypothesis-testing - Generalization and Interpretation.

6. Data Processing and archival: Basic concepts in programming & scripting (Questions on any specific programming languages will not be asked) – Basic concepts in organization of data into databases

7. Measurement: Concept of measurement - what is measured? Problem in measurement in research - Validity and Reliability Levels of measurement - Nominal, Ordinal, Interval, Ratio

8. Sampling: Concept of Statistical population, Sample, Sampling Frame, Sampling Error, Sample size, Non Response. Characteristics of a good sample Probability Sample - Simple Random Sample, Systematic Sample, Stratified Random Sample & Multi-stage sampling. Determining size of the sample - Practical considerations in sampling and sample size

9. Data Analysis and Interpretation: Graphical representation of data, Univariate analysis (frequency tables, bar charts, pie charts, percentages), Bivariate analysis - Cross tabulations and Chi-square test including testing hypothesis of association. Correlation and regression analysis Probability distributions: Discrete distribution (bionomial& Poisson) – Continuous distribution (Normal & Exponential) Bayesian Modeling Estimation of accuracy (sensitivity specificity, Mathew’s Correlation coefficient)


Syllabus Ph.D. (PET) Entrance Exam: Bioinformatics Savitribai Phule Pune University

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