INF383D: Mathematical Foundations of Information Studies (Spring 2012)
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
Course Project: you are free to choose, but here are some ideas
- examine the relation between words used in product reviews and product scores: data
- Datamob data
- UCI Machine Learning data