Kids love to build, what’s more they love to be challenged. Zoob Builderz STEM Challenge is designed for both. Students must read and create using the Zoob Builder pieces. Pieces include gears, axles, joints, wheels, and more for students to snap together.
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Designing the school garden will require Math, ELA, and Science skills with Scientific Method being used as a foundation. Students will create a school garden as a result of the work they preloaded into the activity. Finally, students will decide if the school garden has an improvements needed for future growth or more growth.
- Material Type:
- Lesson Plan
- North Carolina State University
- Provider Set:
- Kenan Fellows Program for Curriculum and Leadership Development
- Natosha Brinkley
- Date Added:
Introduction to the Modeling and Analysis of Complex Systems introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways. Many real-world systems can be understood as complex systems, where critically important information resides in the relationships between the parts and not necessarily within the parts themselves. This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models. Most of these topics are discussed in two chapters, one focusing on computational modeling and the other on mathematical analysis. This unique approach provides a comprehensive view of related concepts and techniques, and allows readers and instructors to flexibly choose relevant materials based on their objectives and needs. Python sample codes are provided for each modeling example.
Building on their understanding of graphs, students are introduced to random processes on networks. They walk through an illustrative example to see how a random process can be used to represent the spread of an infectious disease, such as the flu, on a social network of students. This demonstrates how scientists and engineers use mathematics to model and simulate random processes on complex networks. Topics covered include random processes and modeling disease spread, specifically the SIR (susceptible, infectious, resistant) model.