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
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. Click on the links below for demo videos and associated files for the corresponding modules:
| Video Lecture | Supplementary Materials |
| Basic MATLAB | Files |
| Matrix Algebra | Files |
| Basic Programming | Files |
| Input/Output | Files |
| Intermediate Programming | Files |
| 3D Graphics | Files |
| Effective Programming and Data Types | Files |
| Numerical Methods | Files |
R
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. Click on the links below for demo videos and associated files for the corresponding modules:
RStudio 1 – Basics Part I – Downloading & Navigating RStudio
RStudio 2 – Basics Part II -Programming Basics, Importing & Exporting Data
RStudio 3 – Statistical Analysis I – Exploratory Data Analysis
RStudio 4 – Statistical Analysis II – Hypothesis Tests, Linear Regression & Saving your Project
SAS
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. Click on the links below for demo videos and associated files for the corresponding modules:
SAS 1 – Programming Basics
SAS 2 – Statistical Analysis
SAS Enterprise Guide
SAS Enterprise Guide is a statistical analysis and data management system that gives the user access to much of the functionality of SAS – and in fact, uses SAS software behind the scenes for analysis. SAS Enterprise Guide offers many features, such as an intuitive interface, convenient access to data, and ready-to-use tasks for analysis and reporting. Click on the links below for demo videos and associated files for the corresponding modules:
SAS Enterprise Guide 1 – Basics
SAS Enterprise Guide 2 – Statistical Analysis
SAS Enterprise Guide 3 – Summary Reports and Saving Projects
SPSS
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. Click on the links below for demo videos and associated files for the corresponding modules:
SPSS 1 – The Basics of SPSS Statistics
SPSS 2 – Statistical Analysis Part I – Exploratory Data Analysis
SPSS 3 – Statistical Analysis Part II – Hypothesis Tests & Linear Regression, Saving your Project