Stat 133 Syllabus

Statistical Thinking and the Data Analysis Cycle

• Data ACQUISITION -- Input/output, regular expressions
• Data CLEANING, verification, and manipulation -- graphics, exploratory data analysis
• Data ORGANIZATION -- data frames, XML, databases
• MODEL the data -- fit statistical models to the data
• Data as a PSEUDO-POPULATION -- assess the fit of the model via the bootstrap, cross-validation
• SIMULATED data -- simulation studies

Statistical Concepts

• Graphics
  • elements of graphing data
  • grammar of graphics
  • advanced plotting
• Computationally intensive methods
  • Hierarchical Bayes
  • Nearest Neighbor methods
  • Thin plate splines
• Simulation tools
  • Bootstrap
  • Cross-validation
  • Monte Carlo Markov Chain

Computing Concepts

• Programming concepts - e.g. loops, recursion, trees
• Regular expressions and text manipulation
• Relational Databases
• Random number generation
• Representation of numbers in the computer
• Event handling and GUI development

Software

• R - statistical software
• Unix - shell commands
• SQL - Structured Query Language for relational databases
• XML - Extensible Markup language
• Gtk/wXWidgets - Toolkits for creating graphical user interfaces