The College of Engineering is partnering with MathWorks to host a two-day, in-person workshop for educators interested in strengthening computation in their courses. Over two days in Kiewit Hall, participants will:
- Learn about MATLAB teaching tools
- Discover MATLAB aware Generative AI capabilities
- Get technical and teaching expertise from MATLAB experts and fellow educators
- Develop a computational module for use in your course
UNL and MathWorks will deliver a workshop targeted at the objectives of UNL faculty, taking into account requirements of participating departments and the courses and skills of the participants. Over the past 10 years, hundreds of educators have attended the Teaching Computation with MATLAB workshop series and returned to their classrooms equipped to improve student learning and outcomes.
The workshop will include a special focus on GenAI and AI, supporting the active 2026 college initiatives in these areas.
- Dates: Monday-Tuesday, May 11-12
- Location: Kiewit Hall, University of Nebraska-Lincoln City Campus
- Cost: No registration fee
- Meals: Provided during the workshop
Who Should Attend
This workshop is designed primarily for faculty, instructors, postdocs, and teaching assistants with an interest in computational teaching. No prior MATLAB experience is required.
What You'll Do
- Learn about MATLAB tools designed for teaching, including Live Script and MATLAB Grader.
- Explore emerging generative AI tools, including MATLAB Copilot, and how they can support instruction.
- Hear from peer educators about what's working in their classrooms.
- Work in small groups to develop a computation-focused teaching activity or course module for use in your course.
- Leave with a draft module that is classroom-ready and shareable.
Workshop Schedule
- Day 1 (Monday, May 11)
- Welcome, community building, and orientation. Introduction to MATLAB teaching tools and generative AI capabilities. Peer educator talks. Participants begin developing their course modules.
- Day 2 (Tuesday, May 12)
- Continue module development in facilitated working groups. Receive and give peer feedback on curriculum, and plan next steps on implementation.
Pre-Workshop Preparation
We are exploring optional online preparation sessions in April for participants who want to get a head start with MATLAB or specific topics like machine learning. Details will be shared with accepted participants based on interest expressed during the application process.
Contacts
For questions about the workshop, contact Carl Nelson, associate dean for undergraduate programs (cnelson5@unl.edu) or Mark Stone, professor of biological systems engineering and director of the PRAIRIE Initiative (mark.stone@unl.edu).
NOTE: Registration is closed but if you are still interested in participating, email Carl Nelson (cnelson5@unl.edu).