National University of Sciences and Technology
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CSE-883 DATA ANALYSIS & STATISTICS
Campus RCMS
Programs PG
Session Fall Semester 2016
Course Title DATA ANALYSIS & STATISTICS
Course Code CSE-883
Credit Hours 3
Pre-Requisutes None
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 real-world 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
Course Outcomes
  • Carry out data analysis/statistical analysis
  • Effectively visualize the data.
Text/Ref Books
  • Probability and Statistics. 3rd ed. Boston, MA: Addison-Wesley., 2002. by DeGroot, Morris H., and Mark J. Schervish.
  • Chapters covered: 1-10, Sections covered: 1.2-1.10, 2.1-2.3, 3.1-3.10, 4.1-4.8, 5.2, 5.4, 5.6, 5.7, 5.9, 5.10, 6.2-6.5, 7.2-7.5, 8.2, 8.5, 8.6, 9.1-9.4, 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: 978-0471718130.
  • 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
Faculty/Resource Person Assistant Professor - Dr Mehak Rafiq