CIRC has partnered with the UMBC Division of Information Technology (DoIT) to provide short videos with narration to demonstrate the use of popular software packages as well as other useful demonstrations such as how to log in to the cluster taki in the UMBC High Performance Computing Facility. A Box folder for each software contains all needed files with each tutorial and the links to the videos. Once you click on the link under any of the software, you will be asked to login using your UMBC credentials before you can access the Box folder.
MATLAB is a popular mathematical software package that combines efficient linear algebra operations and powerful graphics with an intuitive, interactive user interface. MATLAB can be useful for a wide range of applications from basic matrix and vector manipulations to full-color 2-D and 3-D visualization. For more information, visit the MathWorks website. If you are new to UMBC or interested in where to begin using MATLAB on the UMBC campus, the following brief introduction on how to get started using MATLAB at UMBC is useful.
R is a powerful open source software system for statistical computing. It has become immensely popular due to its intuitive programming language, built-in support for statistical procedures, and ability to produce beautiful graphics. R is extensible through a package system, and numerous contributions from its user community are freely available. R is available on Windows, Macintosh, and Linux platforms. For more information, visit the R Project website.
SAS is a powerful statistical software package. It can handle most data analysis issues ranging from simple data exploration to advanced modeling. SAS has convenient built-in functions and procedures for dealing with a large variety of statistical problems. For more information, visit the SAS website.
SPSS for Windows provides a powerful statistical analysis and data management system in a graphical environment, using descriptive menus and simple dialog boxes to do most of the work for you. Most tasks can be accomplished simply by pointing and clicking the mouse. For more information, visit the SPSS website.