Shaping the embedding of reflection in engineering education

Autor: Kraft, Volker
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Popis: Engineering curricula often require students to learn a range of analytics skills, which are critical for all practitioners who want to learn from data. With the right software, learning these skills can be hands-on and engaging, allowing students to explore and analyze realistic data without struggling with a clunky or tedious statistics tool. JMP is interactive and powerful point-and-click software for solving real-world engineering problems. It is ideal for engaging, hands-on teaching of relevant data skills in engineering and is also used by scientists and engineers at leading companies across the globe. While the fundamental skills addressed in this session include understanding variation and uncertainty, we will also look at applications like data modeling, designing experiments and quality management – all from a student’s perspective. This interactive session will demonstrate how JMP can help to engage students’ curiosity and teach engineering data skills which are most in-demand in industry today. We’ll guide you through a series of brief demonstrations, so that you can directly experience the difference JMP can make for your course. Participants will receive a free trial license before the workshop, and the presenters will provide sample data and lead you through several hands-on examples in JMP. We will also discuss best practices and share resources to support integration into engineering courses.
Databáze: OpenAIRE