Mathematica is a software package that is ideal for communicating scientific ideas, whether visualization of a concept in an introductory level course or creating a simulation of a new idea related to research. Mathematica is commonly used in mathematical sciences, physical sciences, business and finance, life sciences, engineering, and computer science.
Eligibility
- Faculty, staff, and students are eligible to use products on campus or personal machines
- Agreement supports use of products in instruction and academic research
- Licensing is renewed annually and is available only to active students, faculty, and staff
How To Get A Copy
AS&E Faculty, Staff, and Students, Computer Science department, Laboratory for Laser Energetics, Simon School faculty staff and students follow directions below:
Licensing Access (Single Machine)
- Access the University of Rochester Wolfram link here.
- Type in your Rochester email address, then
click the buttons to download and install Mathematica locally as well as
set up Mathematica Online. When prompted, sign in using your Rochester
netID and password (Note: For long-term Mathematica users, you will be
prompted for your WolframID and password the first time you login with SSO) - When installing Mathematica locally, click
“Continue” in the “Activate Your Product through Sign In” window. Enter
your Rochester netID and password when prompted (for details, click here)
Departmental requests, please contact the UR Tech Store.
Cost
Cost: $0 – AS&E faculty, staff, and students; Computer Science department; Laboratory for Laser Energetics; Simon School faculty staff and students
$210 (annual fee) – All other faculty, staff and students.
Payment may be made by Web Requisition, 312 requisition or emailing FAO (university account number).
System Requirements
See the Wolfram for details.
More Information
Learning Mathematica
The first three tutorials are excellent for new users, and can be assigned to students to learn Mathematica outside of class time.
- Hands-On Start to Mathematica (videos) – Follow along in Mathematica as you watch this multi-part screencast that teaches you the basics: how to create your first notebook, calculations, visualizations, interactive examples, and more.
- Hands-On Start to Wolfram Mathematica and Programming with the Wolfram Language (book) – Learn Mathematica at your own pace from authors with 50+ years of combined experience with Mathematica. Hands-on examples, end-of-chapter exercises, and authors’ tips introduce you to the breadth of Mathematica with a focus on ease of use.
- What’s New in Mathematica 10 – Provides examples to help you get started with new functionality in Mathematica 10, including machine learning, computational geometry, geographic computation, and device connectivity.
- How-To Topics – Access step-by-step instructions ranging from how to create animations to basic syntax information.
- Learning Center – Search Wolfram’s collection of materials for example calculations or tutorials in your field of interest.
Teaching Mathematica
- Mathematica for Teaching and Education (free video course) – Learn how to make your classroom dynamic with interactive models, explore computation and visualization capabilities in Mathematica that make it useful for teaching practically any subject at any level, and get best-practice suggestions for course integration.
- How to Create a Lecture Slideshow (video tutorial) – Learn how to create a slideshow for class that shows a mixture of graphics, calculations, and nicely formatted text, with live calculations or animations.
- Wolfram Demonstrations Project – Download pre-built, open-code examples from a daily-growing collection of interactive visualizations, spanning a range of topics.
- Wolfram Training Education Courses – Access on-demand and live courses on Mathematica, SystemModeler, and other Wolfram technologies.
Researching with Mathematica
- Mathematica for University Research (free video course) – Explore Mathematica’s high-level and multi-paradigm programming language, support for parallel computing and GPU architectures, built-in functionality for specialized application areas, and multiple publishing and deployment options for sharing your work.
- Utilizing HPC and Grid Computing (free video course) – Learn how to create programs that take advantage of multicore machines or available clusters.
- Field-Specific Applications – Learn what areas of Mathematica are useful for specific fields.