This paper introduces a nonlinear dynamic model to study spatial and temporal dynamics of epidemics of susceptible-infected-removed type. It involves modeling the respective collections of epidemic states and syndromic observations as random finite sets. Each epidemic state consists of the number of infected individuals in an isolated population system and the corresponding partially known parameters of the epidemic model. The infectious disease could spread between population systems with known probabilities based on prior knowledge of ecological and biological features of the environment. The problem is then formulated in the context of Bayesian framework and estimated via a probability hypothesis density filter. Each population system under surveillance is assumed to be homogenous and fixed, with daily reports on the number of infected people available for monitoring and prediction. When model parameters are partially known, results of numerical studies indicate that the proposed approach can help early prediction of the epidemic in terms of peak and duration.
where she also works as the Program Evaluation and Planning Specialist. She is the team lead for the faculty on all matters related engineering education including teaching and learning, curriculum development, Capstone design and engineering accreditation. Robyn just completed master's degree in engineering education where she is looking at the impact of engineering leadership development on career success.
The Computing for Engineers (ENGG 233), first year programming class uses a 3-week end term project to involve students in a technical, creative and applicable project. In Fall 2018, students designed and programmed a new digital dashboard, displaying information such as current speed and fuel level based on sensory inputs such as engine revolutions per minute, gear ratio, and car position in the horizontal and vertical axis. A student perception survey was distributed and analyzed to better understand the view that students have towards term projects. The results from a Kendall Tau-B test are presented in this paper.
Advancements in information technology has given rise to a new flipped learning environment that is increasingly used at post-secondary institutions. This new pedagogical approach provides a personalized learning experience by accommodating different students’ learning styles. Students interact with the course material prior to attending scheduled face-to-face instruction, where learning is reinforced by working through examples and application problems. This paper provides a practical guiding framework for the collaboration and coordination of multiple instructors in a flipped delivery course style, based upon a literature review, qualitative research, and experience. We used a qualitative approach using a questionnaire to gather lessons learned and suggestions from instructors. The responses were analyzed to extract common themes which were mapped to create a conceptual framework for successful multi-instructor flipped course delivery. Recommendations are made as per three chronological sequences of before, during and after the course offering. The framework aims to support the planning, implementation and evaluation stages of organizing and managing a multi-instructor flipped course. This paper stresses the importance of the teaching team proactively completing the planning and design of course components before the start of the course. Quantitative student feedback received from the fall 2018 course offering in Schulich School of Engineering at the University of Calgary is used to support the flipped classroom delivery, multi-instructor delivery style.
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