Statistics Online Computational Resource
Computing
Location:	8125 Mathematical Sciences Bldg. UCLA, Box 155404 Los Angeles, CA, 90095
Phone Numbers:	1-310-825-8430 1-310-206-5658
Web Address:	SOCR Home Page
Description:	The Statistics Online Computational Resource (www.SOCR.ucla.edu) designs, validates and freely disseminates knowledge. Specifically, SOCR provides portable online aids for probability and statistics education, technology based instruction and statistical computing. SOCR tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. All SOCR tools and resources are Internet-accessible, open and multi-lingual. Examples of applications of SOCR tools include image processing, model fitting, statistical analysis and exploratory data analysis. What are the main SOCR Components? The core SOCR educational and computational components include: Distributions (interactive graphs and calculators), Experiments (virtual computer-generated analogs of popular games and processes), Analyses (collection of common web-accessible tools for statistical data analysis), Games (interfaces and simulations to real-life processes), Modeler (tools for distribution, polynomial and spectral model-fitting and simulation), Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), Additional Tools (other statistical tools and resources), SOCR Wiki (collaborative Wiki resource), Educational Materials and Hands-on Activities (varieties of SOCR educational materials), SOCR Statistical Consulting and Statistical Computing Libraries How to use the SOCR Resource There are three major types of SOCR users: educators, students and tool developers. Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. The three types of SOCR resources are: Interactive Java applets: these include a number of different applets, simulations, demonstrations, virtual experiments, tools for data visualization and analysis, etc. All applets require a Java-enabled browser (if you see a blank screen, see the SOCR Forum to find out how to configure your browser). Instructional Resources: these include data, electronic textbooks, tutorials, etc. Learning Activities: these include various interactive hands-on activities. SOCR Video Tutorials (including general and tool-specific screencasts). Visit the SOCR website for more information