Level UP-Building online tutorials for a web development project (Phase 2)

positions available: 3 In this project, we will need to build 6 online tutorials for building web applications. Tutorials include: 1. Building Backend server tutorials 2. Build frontend tutorials 3. creating a video recording of the tutorials

Level UP- Effect of COVID-19 pandemic on education Phase 2

To conduct a province-wide study of school divisions’ experiences with teacher retention before and after the COVID-19 pandemic. This will be achieved by distributing a survey inquiring about how staff employing, retention, and dismissal have changed since the pandemic. The survey will also identify hiring practices and division properties such as rural/urban. Once complete, this survey will be submitted to the College of Alberta School of Superintendents (CASS), Alberta’s educational leaders that oversee the success of school systems in Alberta. Survey data will be used with data analysis techniques; unsupervised learning techniques such as clustering will identify key factors associated with higher or lower staff hiring, retention, and other quantifiers. Patterns associated with hiring techniques will be analyzed, and conclusions about population geographical factors’ relation to the survey results will be drawn.

Level UP- Effect of COVID-19 pandemic on education Phase 1

To conduct a province-wide study of school divisions’ experiences with teacher retention before and after the COVID-19 pandemic. This will be achieved by distributing a survey inquiring about how staff employing, retention, and dismissal have changed since the pandemic. The survey will also identify hiring practices and division properties such as rural/urban. Once complete, this survey will be submitted to the College of Alberta School of Superintendents (CASS), Alberta’s educational leaders that oversee the success of school systems in Alberta. Survey data will be used with data analysis techniques; unsupervised learning techniques such as clustering will identify key factors associated with higher or lower staff hiring, retention, and other quantifiers. Patterns associated with hiring techniques will be analyzed, and conclusions about population geographical factors’ relation to the survey results will be drawn.

Level UP-Analyzing factors that cause Car speeding Phase 1

positions available: 2 This analysis used data from speed zones and traffic signs using methods such as functional data clustering algorithms. In this project, we will 1. Determine indicators associated with a car speeding such as known police zones, how enforcement is done in these areas and unknown information about the day (weather, holiday, sporting events) that may or may not affect the data. 2. Apply functional data clustering and model-based clustering algorithms