Over 2000 universities choose a Campus-Wide License so that faculty, staff, and researchers can access MathWorks® products on any device, on and off campus. This webinar shows how to turn that access into an interactive, efficient learning experience, from self-paced Online Courses to automated assessment with MATLAB Course Designer and MATLAB Grader™. 

AI takes this a step further. We show how MATLAB Copilot and AI agents that work directly with MATLAB and Simulink can support your teaching. Our guest speaker, Lóránt Szabó from John von Neumann University (NJE), then presents a first-year engineering course as a practical blueprint, in which AI acts as a step-by-step learning guide rather than a shortcut. 

Why attend?

You will learn how to: 

• use the Campus-Wide License in teaching, from Onramps to automated assessment 
• work with AI assistants and agents in MATLAB and Simulink 
• evaluate students’ MATLAB and Simulink skills automatically 

The NJE course shows how this works in practice. Students start with self-paced MATLAB, Simulink and Simscape Onramps, then build and simulate a mass-spring-damper system in MATLAB Course Designer with instant automated feedback. The course is integrated with the university’s Moodle, which also takes routine assessment work off the lecturers. The session closes with lessons learned from both the student and the lecturer perspective, and examples of how academia and SciEngineer can cooperate. 

Agenda

Ákos Koppány Kiss: 

• MATLAB Campus-Wide License overview: Online training courses, MATLAB Online, MATLAB Course Designer and MATLAB Grader 

• MATLAB + AI: MATLAB Copilot and Simulink Copilot 

• Agentic workflows: AI agents working with MATLAB and Simulink via the MATLAB MCP Server and Skills 

• Ways of cooperation between Academia & SciEngineer: the John von Neumann University example 

Lóránt Szabó: 

• Introduction of John von Neumann University and the AI Research Group 

• The “Introduction to the use of Artificial Intelligence” course: goals, structure and the role of MATLAB, Simulink and Simscape 

• How it works in practice: Onramps, MATLAB Course Designer with automated assessment, Moodle integration, MATLAB Grader and AI as a learning guide 
• Results and lessons learned from the student and the lecturer perspective, open discussion
  

Q&A

Who should attend? 

This webinar is intended for lecturers, PhD students and researchers in engineering education, especially in mechanical engineering, mechatronics and control engineering. It is also relevant for anyone interested in automated assessment of MATLAB and Simulink assignments, modeling and simulation of dynamic systems, or AI-assisted learning. 

Featured products 

All products mentioned in this webinar are developed by MathWorks.