INF383D:
**Mathematical Foundations of Information Studies** (Spring 2012)

**Instructor**: Matt Lease

**Day and Time**: Mondays 12-3pm

**Location**: Meeting in
UTA 1.212. This hands-on course will split time between the classroom and the UTA 1.210C computing laboratory.

**Previous offering**: Spring 2010

**Overview**: introductory course to computational and mathematical models of information, covering
potential topics like:

**Statistics**: mean, variance, standard deviation, quartiles and quantiles, correlation (Pearson, Spearman), central limit theorem, confidence intervals, analysis of variance, regression models, sampling, significance testing, plots and charts**Probability**: discrete and continuous distributions, marginals, conditionals, parametric families, expectation**Basic Programing**: variables, fuctions, control flow, scope, ...

**Course Textbook**: John Verzani, Using R for Introductory Statistics, 2004

- Our library has an ebook version which has different layout but the SAME content (publisher has confirmed). Page numbers may differ.
- Supporting website
- Errata (only 6 pages, be sure to refer to this for each chapter)
- Answers to selected problems

**Resources**

- Austin R Users Group
- Download R for your personal computer: OS X and Windows.
- R website
- R wiki
- Handy R reference card
- R Language Definition
- Verzani's earlier simpleR -- Using R for Introductory Statistics (searchable PDF)
- Manual "An Introduction to R": HTML PDF
- R for Matlab users: guide

**Logarithms**

**Course Project**: you are free to choose, but here are some ideas