List of Courses for PGD
Course No
|
Course Title
|
Credits
|
Remarks
|
First Semester
|
|||
PGD 5101
|
Basic
Statistics
|
2
|
Prerequisite
|
PGD 5102
|
Basic
Mathematics
|
2
|
Prerequisite
|
PGD 5103
|
Experimental
techniques
|
2
|
Compulsory
|
PGD 5104
|
Regression
Analysis
|
2
|
Compulsory
|
PGD 5105
|
Sampling
Techniques
|
2
|
Compulsory
|
PGD 5106
|
Use of
Statistical Software
|
2
|
Compulsory
|
Second Semester
|
|||
PGD 5201
|
Categorical
Data Analysis
|
2
|
Compulsory
|
PGD 5202
|
Nonparametric
Statistics
|
2
|
Compulsory
|
PGD 5203
|
Multivariate
Data Analysis
|
2
|
Compulsory
|
PGD 5204
|
Binary
Data Analysis
|
2
|
Compulsory
|
PGD 5205
|
Experimentation
in Medical Sciences
|
2
|
Elective
|
PGD 5206
|
Statistical
Application in Business Statistics
|
2
|
Elective
|
PGD 5207
|
Special
Topics
|
1
|
Elective
|
PGD 5208
|
Independent
Study/Seminar
|
2
|
Compulsory
|
Basic Statistics (2)
Frequency
distributions and histogram, Measurement of central tendency and dispersion,
Stem and Leaf plots, and box
plots, Expected value, Normal distribution, Statistical inference, Point and interval estimates, Concept of hypothesis
testing, Tests for means and variances, analysis of variance.
Basic Mathematics (2)
Preliminaries,
Polynomials, Limits and concept of derivative Rules of differentiation, Applications of derivatives, Concept
of integration, Basic Matrix algebra.
PGD 5103. Experimental
Techniques (2)
Principals
of experimentation, Basic experimental designs, Factorial experiments, Mean separation, Covariance analysis, Split plot type designs,
Incomplete block design, Nested designs,
Confounding in factorial experiments.
PGD 5104. Regression
Analysis (2)
Simple
linear regression model, Correlation, Assumptions in regression, Multiple
regression, Test of goodness of fit,
Hereroscedasticity and Autocorrelation, Model Fitting techniques, Non linear models.
PGD 5105. Sampling
Methods (2)
Population
and sample, simple random sampling, Stratified random sampling, Proportional allocation, Sample size determination.
Cluster sampling, Systematic sampling, Multistage sampling, National Surveys.
PGD 5106. Use of
Statistical software (2)
Introduction
of different statistical software, Basic features of Minitab, SPSS and SAS,
Data entry and Analysis using
statistical software.
PGD 5201. Categorical
Data Analysis (2)
Two-way
table, Testing for goodness of fit and interdependence, Structural models for
count data, Log-linear models,
Maximum likelihood and weighted least square estimation, Model selection, Residual analysis.
PGD 5202. Nonparametic
Statistics (2)
Scale
of measurement, Rank correlation, other measures of associations in ranked
data, Rank tests to compare two
treatments, Tests to compare more than two treatments, Blocked comparisons.
PGD 5203. Multivariate
Statistics (2)
Multivariate
normal distribution, Variance and Covariance matrices, Principal component analysis, Factor analysis, Cluster
analysis, Factor analysis, Cluster analysis, Discriminent function analysis, Multivariate analysis of
variance, Canonical correlation.
PGD 5204. Binary Data
Analysis(2)
Binomial
distribution, Odds, odds ratio and relative risk, Testing two proportions,
Logit and Probit models,
Conditional logistic regression, Model diagnostics
PGD 5205.
Experimentation in Medical Sciences (2)
Sampling
in clinical sciences, Sampling in epidemiological studies, Case-control
studies, Survival data
analysis, reference intervals, analysis of mortality statistics and population structure
PGD 5206. Statistical
Application in Business Statistics (2)
Forecasting
in business, Analysis of productivity and efficiency, Statistical quality
control, Conjoint analysis, Use
of multivariate statistical methods in business.
PGD 5207. Special
Topics (1)
PGD 5208. Independent
Study/Seminar (2)
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