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For decades, physics education has remained largely unchanged, even as computation has become central to modern science. This book highlights how educators around the world are integrating computational thinking into undergraduate physics courses.
Through case studies and practical examples, contributors share their strategies for curriculum design, learning objectives, and navigating institutional challenges. The book also offers sample materials, assessments, and insights from both students and faculty.
With supplementary tools such as simulations and code notebooks, this is an essential resource for departments aiming to modernize their teaching. It also serves as a valuable guide for STEM educators across disciplines.
Key features:
- Provides in-depth case studies on the integration of computation into physics courses, with a focus on issues that faculty are likely to encounter
- Collects the best integration efforts across the world at a variety of scales to showcase and contextualize the work that is taking place
- Includes simulations/applets embedded into the text
- Includes open-source resources for instructors
- Provides a roadmap for integrating computation into physics courses
- Integrating computing in physics courses
- Student engagement with computational modeling and the development of ‘minimally working programs’
- Resources for integrating computation into physics courses: exercise sets, workshops, and a supportive community
- Computing in general education physics
- Introducing computational techniques early to train students for research 6.Instructional goals and decisions when integrating computation into physics labs
- Case studies of integrating computation into physics lab course
- Departmental emphasis on computation for the physics major: successes and challenges of a multi-tier curricular redesign
- Integration of computation across the curriculum at Bridgewater College
- A journey in implementing computational physics from the ground up
- Teachers’ approach to computation in physics classrooms analysed using social semiotics and the variation theory of learning
- Agency and making in computational learning environments
- Teaching scientific writing using computational essays
- Where can we go from here?