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CSE883 Data Analysis & Statistics

Campus

RCMS

Programs

PG

Session

Spring Semester 2017

Course Title

Data Analysis & Statistics

Course Code

CSE883

Credit Hours

30

PreRequisutes


Course Objectives

This is an introductory course for students in CSE. In this course the students will learn the principles and methods of statistical analysis, but will also put them into practice using a range of realworld data sets. The objective is to provide a basic understanding of data analysis using statistics and to use computational tools on problems of applied nature.

Detail Content

 Introduction to probability
 Statistical models and probability distributions
 Estimation, errors and uncertainity
 Hypothesis testing
 Linear models & Regression
 Binomial & Poisson processes
 Baysian parametric modeling
 Baysian modeling using Monte Carlo methods
 Introduction to statistical/data analysis software
 Introduction to Visualization
 Principles of Visualization
 Plotting and visualization techniques
 Tradeoffs in visualization

Text/Ref Books

 Probability and Statistics. 3rd ed. Boston, MA: AddisonWesley., 2002. by DeGroot, Morris H., and Mark J. Schervish.
 Chapters covered: 110, Sections covered: 1.21.10, 2.12.3, 3.13.10, 4.14.8, 5.2, 5.4, 5.6, 5.7, 5.9, 5.10, 6.26.5, 7.27.5, 8.2, 8.5, 8.6, 9.19.4, 9.6.
 An Introduction to Probability Theory and Its Applications. 3rd ed, by Feller, William.New York, NY: Wiley, 1968
 Av Jay L. Devore, Probability and Statistics for Engineering and Sciences
 Box, G.E.P., Hunter, J.S and Hunter, W.G, Statistics for experimenters  design, innovation and discovery, 2nd edition, Wiley. ISBN: 9780471718130.
 Draper, N.R. and Smith, H. Applied regression analysis, Wiley.
 Montgomery, D.C. and Runger, G.C, Applied statistics and probability for engineers.
 Venables, W. N., Smith, D.M. and the R Team (2001) An Introduction to R

Time Schedule

Spring Semester 2017

Faculty/Resource Person

Dr Zamir Hussain
PhD (Bahauddin Zikaria University)
Discipline: Statistics
Specialization: Statistics

