Our Courses

Our Courses

Courses offered by our network of nine academic institutions. These include courses related to implementation science study, theory, design, methodologies and tools, as well as convergence, complex system integration, data science and knowledge mobilization.

Methods Café Course

Description

This course exposes students to novel research from various fields —from computer science to health and nutrition, sociology, marketing, and ecology— to explore complex challenges that urban environments face with regards to food access, mobility, and overall population health. Drawing from Canadian (including First Nations) and global contexts, students will engage in implementation science; this is, they will learn how to move knowledge into action from early stages of conception to execution, testing, scale up, and evaluation. Students will dive into state-of-the-art implementation science methods that range from effective community engagement to computational science. Overall, the course will encourage students to think critically and integrate knowledge and practice to solve complex societal problems and find ways to make cities healthier, more liveable, and more resilient.

Design Thinking for Smart Cities/Healthy Cities

Description

Trainees take a transdisciplinary approach and work together to address topics related to Smart Cities and/or Healthy Cities through design thinking in a virtual studio environment. The implementation lab is a unique environment for learning; it is the place where work is in progress; where ideas are generated and exposed to public scrutiny; and where positions are taken and debated. Trainees form cross-institution teams, which ensure a balance of background and disciplinary expertise. A specific project for the course is to be determined. Trainees must evaluate the project, develop a program, and provide solutions to meet their defined program needs. The project will allow for the application of knowledge gained through the Training Platform, including the SMART Methods Course.

Agent Based Modelling

Description

Agent-based models are computational simulation models, applied in a wide range of disciplines, across the social sciences, used to explore complex problems. This class provides an accessible introduction to agent/individual based models and the complex problems they are used to explore.

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