Level UP: First Year Experience Mentorship (Phase 1)

Positions available: 80 July 11 - September 2, 2022 10 hours/week for 8 weeks All first-year students will be grouped in cohorts based on faculty or program and will be assigned an upper year student as a mentor. The start of the term is when most students need support; a mentor will organize virtual meetings, activities and socials while providing guidance for a smooth transition to university life. Mentors will: Get thorough mentorship training and knowledge of MacEwan student services Enhance their leadership skills through positive role modelling Add to your career profile and gain a co-curricular record position Contribute to a positive campus culture experience

Level UP: First Year Experience Mentorship (Phase 2)

Positions available: 115 September - October, 2021 10 hours/week for 8 weeks All first-year students will be grouped in cohorts based on faculty or program and will be assigned an upper year student as a mentor. The start of the term is when most students need support; a mentor will organize virtual meetings, activities and socials while providing guidance for a smooth transition to university life. Mentors will: Get thorough mentorship training and knowledge of MacEwan student services Enhance their leadership skills through positive role modelling Add to your career profile and gain a co-curricular record position Contribute to a positive campus culture experience

unTribe - Data Analysis with New Tech

PROJECT DESCRIPTION/DESCRIPTION DU PROJET: unTribe seeks to address issues that organizations have managing their data in a simpler, more cost-effective way. We uniquely provide modern data integration and orchestration platform that brings data engineers, data scientists, and BI practitioners together. While the technology we build is inclusive, we also strive to build an inclusive team. And, we are excited to participate in Venture for Canada's Intrapreneurship program! In this project, the data engineering team will utilize unTribe's pre-release Cloud-Native Data Integration (CNDI) technology to perform data analysis in an area of inquiry that is of internal or public interest. In the latter case, projects may include analysis in an area such as political economy, financial markets, trade, healthcare, urban development, macroeconomics, media, sports, hobbies, or others. The goal is to test the technology in a variety of scenarios, and generate content unTribe can use in support and marketing efforts. HOW MANY STUDENT INTRAPRENEURS WILL THIS PROJECT ACCOMMODATE?/DE COMBIEN D’ÉTUDIANTS AVEZ-VOUS BESOIN POUR EXÉCUTER CE PROJET? 5 TIME COMMITMENT PER STUDENT/TEMPS DE TRAVAIL PAR ÉTUDIANT: 70 hours KEY PROJECT ACTIVITIES/TÂCHES ASSOCIÉES AU PROJET: Requirements analysis Research, e.g. surveying related literature Data modeling Data retrieval and manipulation Working with the software development team on making new feature requests, logging bugs, and improving the documentation IDEAL ROLES/RESPONSIBILITIES/RÔLES/RESPONSABILITÉS:* Please note appropriate projects can accommodate most students, regardless of the field of study or experience. We may not be able to fill these roles exactly. Business Intelligence Analysts (2x member): Research and Analysis - Selection of an analysis topic, related research, sourcing of data, target data modeling, and project summary presentation lead role. Data Engineer (3x): Data engineering implementation - based on interaction with the Business Intelligence Analysts, utilize unTribe's software to implement and perform the corresponding data integration work. Report issues/suggestions as they arise. Support and training will be provided. FINAL PROJECT DELIVERABLES/LIVRABLES DU PROJET: Summary presentation of analysis Report on software issues or suggestions for documentation improvements PROJECT MENTOR NAME/NOM DU MENTOR DU PROJET: Krisztina Pap

Level UP- MacEwan: Educational tools - Phase 1

We would like students to help us with creating content that is aligned with our vision, mission, and sector. We will ensure the student has a clear understanding of what these elements are for our organization. The project is a project that is developing web-based educational tools for students. The educational tools include self-correcting questions, Correcting Excel-based questions, accounting web-based simulation games and creating synthetic datasets and marking its related queries. All applications are almost developed. They need to either be integrated into one whole application or add additional features and tools to them. The project is composed of several phases. Phase 1: Creation of synthetic datasets. Phase 2: Datasets additional features Phase 3: Integrating Cost Accounting and Finance Games. Phase 4: Self-Correcting questions - Additional features. We will provide guidance to all students.