University IT

PTC Mathcad Prime is an engineering calculation and documentation application that helps users perform, analyze, and share technical calculations. It combines mathematical computation, engineering notation, documentation, and visualization tools in a single workspace, enabling users to create clear, traceable engineering calculations.

Mathcad Prime enables users to document assumptions, calculations, plots, images, and supporting information in a single, easy-to-review, validate, and share format.

Key Uses

• Perform engineering and technical calculations
• Document and validate calculation methods
• Analyze engineering designs and concepts
• Create technical reports and supporting documentation
• Share and review calculation workflows with colleagues
• Maintain traceable engineering records

Features

• Natural mathematical notation
• Unit-aware calculations and dimensional analysis
• Engineering notebook-style workspace
• Integrated plots, charts, images, and text
• Technical documentation and reporting tools
• Calculation review and validation capabilities
• Tools for sharing and collaborating on engineering work

Common Applications

• Engineering analysis and design
• Research and technical projects
• Academic instruction and coursework
• Product development
• Technical documentation
• Verification and validation of engineering calculations

Tableau is a data visualization and analytics platform that helps users explore, analyze, and share data through interactive dashboards, reports, and visualizations. It supports the full analytics workflow, from preparing data to creating visual reports and sharing insights with others.

Tableau Creator includes tools for connecting to data sources, preparing data, building visualizations, and collaborating securely with others.

Key Uses

• Create interactive dashboards and reports
• Analyze and visualize data
• Prepare and organize data for analysis
• Identify trends, patterns, and insights
• Share data visualizations with teams and stakeholders
• Support research, administrative, and business decision-making

Features

• Visual data analysis tools
• Dashboard and report creation
• Data preparation capabilities
• Secure sharing and collaboration
• Support for multiple data sources
• End-to-end analytics workflow tools

Common Applications

• Data reporting and dashboards
• Research and administrative analysis
• Business intelligence
• Operational reporting
• Performance tracking
• Data-driven decision-making

SPSS Statistics is a data management and statistical analysis platform used by researchers, analysts, and students to organize, analyze, visualize, and report on data. It provides tools for the complete analytical workflow, from data preparation and management to statistical analysis and results reporting.

SPSS supports a wide range of research and data analysis projects and helps users generate tables, charts, and reports to communicate findings.

Key Uses

• Manage and prepare datasets for analysis
• Perform statistical analyses and hypothesis testing
• Visualize data through charts and graphs
• Generate tables, reports, and summaries
• Conduct research and survey data analysis
• Support academic, scientific, and operational research projects

Features

• Data entry, preparation, and management tools
• Statistical analysis and modeling capabilities
• Data visualization and graphing tools
• Reporting and output generation
• Data import and export options
• Tabular and graphical reporting features

Common Applications

• Academic and scientific research
• Survey and questionnaire analysis
• Social and behavioral science research
• Health and clinical research
• Program evaluation
• Business and operational analytics
• Teaching and coursework

Amira Software helps researchers visualize, process, and analyze complex life science and biomedical imaging data. It supports a wide range of imaging modalities, including optical and electron microscopy, CT, MRI, and other research imaging techniques.

Researchers can use Amira to work with 2D, 3D, and time-series image data, enabling the exploration and analysis of biological structures, tissues, and imaging datasets across multiple scales.

Key Uses

• Visualize and analyze biomedical imaging data
• Process 2D, 3D, and multi-channel image datasets
• Support microscopy, CT, MRI, and other imaging workflows
• Conduct image analysis for structural biology, neuroscience, tissue imaging, and bioengineering research
• Generate visualizations to better understand and communicate research findings

The IMSL Fortran, C/C++ and C# Numerical Libraries provide pre-written mathematical and statistical algorithms that can be imbedded into Fortran, C/C++, C# for .NET, and Java applications. JMSL for Java applications combines integrated charting with IMSL Library algorithms. PV-WAVE is an array-oriented programming language used to build and deploy visual data analysis applications. TS-WAVE is for advanced time series analysis, and JWAVE’s multiple graphical and visualization techniques allows for web-based visual data analysis across platforms.

ArcGIS is a geographic information system (GIS) platform used to create maps, analyze spatial data, and visualize geographic information. It enables users to combine maps, imagery, tabular data, and 3D geographic features to support research, planning, and decision-making.

ArcGIS is available on the Center for Integrated Research Computing (CIRC) platform for research projects that require advanced computing resources. In addition to desktop and server applications, ArcGIS includes web and mobile tools that allow users to create, share, and collaborate on maps and geographic data across the University.

Key Uses

• Create and manage maps and geographic data
• Perform spatial analysis and data visualization
• Combine geographic information with research and business data
• Work with imagery and 3D geographic datasets
• Share maps and analysis through web and mobile applications
• Support research, teaching, planning, and operational workflows

Included Features

The University’s ArcGIS license includes access to standard Environmental Systems Research Institute (Esri) modules and applications.

JMP Student Edition is a data analysis and statistical software package that helps users explore, visualize, and analyze data. It provides tools for statistical analysis, data visualization, experimental design, predictive modeling, and machine learning, making it suitable for coursework, research, and data-driven projects.

JMP supports an interactive approach to data analysis, helping users identify patterns, evaluate results, and communicate findings through charts, graphs, and reports.

Key Uses

• Explore and visualize data
• Perform statistical analyses
• Design and analyze experiments
• Build predictive and statistical models
• Conduct machine learning and data mining projects
• Integrate Python into data analysis workflows
• Communicate results through charts and reports

Features

• Interactive data visualization tools
• Statistical analysis and modeling
• Design of experiments (DOE) capabilities
• Machine learning workflows
• Predictive analytics tools
• Python integration
• Reporting and data presentation features

Common Applications

• Academic coursework
• Research and data analysis
• Experimental design
• Statistical modeling
• Engineering and scientific studies
• Business and operational analytics