Business Intelligence (BI) refers to the technologies, processes, and strategies that organizations use to collect, analyze, and transform raw data into actionable insights for making informed business decisions. In this foundational course, students will explore core BI activities such as data collection, data analysis, data visualization, reporting, and monitoring. Students will work with simulated, case-based, or their own organization’s data to generate meaningful insights that support strategic and operational decisions across various professional contexts. Students will evaluate BI tools and technologies and examine data governance principles and compliance considerations. Finally, students will develop and assess business intelligence strategies aligned with organizational objectives.
In this course, students explore the scientific principles that shape how buildings interact with heat, air, moisture, sound, and the surrounding environment. They examine how building science informs codes, regulations, and sustainable design practices, and analyze the effects these systems have on building performance and occupant well-being. Students interpret building behavior and assess environmental impacts by applying concepts from architecture, engineering, and construction. Students will develop a systems-based understanding of how design decisions influence durability, energy efficiency, and environmental responsibility in the building environment.
This foundational course introduces students to Indigenous worldviews, relationships to land, and the living nature of treaties to build respectful and reciprocal engagement with First Nations, Inuit, and Red River Métis communities across social and professional contexts. Building on this relational foundation, students will explore Indigenous histories and present-day realities, situating historical learning within contemporary reconciliation efforts. Through structured reflection, case-based analysis, and guided discussion, students will examine personal, organizational, and societal responsibilities for ethical engagement with Indigenous Communities. This course emphasizes relational understanding, cultural protocols, knowledge governance, and positionality to support informed, reflective, and accountable practice.
In this culminating course, students will be challenged to apply their knowledge and skills of advanced manufacturing technology in a real-world application. Working closely with an industry partner and their course instructor, students will identify an actual business need, write a technical report containing a cost-benefit analysis, and pitch their solutions to company decision makers. Upon approval, students will manage a team of specialists through one or more phases of the implementation and lead the change throughout the organization introduced by the innovation. Finally, students will evaluate the impact of the solution on the organization.
In this practical, hands-on course, students will build on their foundational knowledge to explore of Industry 4.0 technologies used in modern manufacturing. Students will work with IoT sensors, PLCs, CNC machines, automated machines, and industrial networks to build connected, data driven systems. Students will secure data flow and protect control systems by applying industrial cybersecurity practices. Using Python and machine learning tools, students will collect and analyze sensor data, evaluate process capability, create predictive models, and support automated decisions. By examining real manufacturing processes, students will identify opportunities for digital integration and gain experience applying smart manufacturing concepts to improve efficiency, quality, and equipment reliability.
This foundational, hands-on course introduces the principles, technologies, and organizational practices of modern advanced manufacturing. Students will examine how production systems, quality, supply chain, and continuous improvement integrate with emerging Industry 4.0 tools such as automation, robotics, sensing, and data analytics. Students will analyze processes, interpret performance data, and evaluate an organization’s readiness for technology adoption. Students will develop practical problem-solving skills, communicate technical insights, apply ethical and safety principles, and collaborate in multidisciplinary teams to support evidence-based improvement and technology implementation decisions.
Automation helps manufacturing companies remain competitive by reducing manufacturing costs, delivering products on time, and increasing product quality. In this hands-on course, students will review common mechatronic components and discuss industrial robot types, basic robotic mechanics, and common applications such as pick-and-place, assembly, welding, and material handling. Students will write basic programmable logic controller (PLC) and robotic programs to control automated processes. Students will compare options for collecting data and identify data that determines overall equipment effectiveness (OEE). Students will investigate if a product or process is suitable for automation, analyze risks and return on investment, and finally, draft a roadmap to implement automation in stages.
In this degree-level course, students integrate advanced leadership knowledge to analyze and lead organizational change in complex, multi-stakeholder environments. Students critically examine contemporary theories and practices of change leadership, with attention to resistance and ethical responsibility. They engage with current and emerging issues shaping change leadership in the Canadian context, including digital transformation and AI-enabled change, Indigenous perspectives on leadership and relational accountability, data-informed change analytics, and organizational practices relevant to Canada’s social and economic environments. By the end of the course, students demonstrate the capacity to independently apply advanced leadership concepts, communicate with diverse stakeholders, and articulate ethical, evidence-based approaches to leading change in professional settings.
In this foundational course, students develop core skills for designing, evaluating, and communicating research across academic, technical, workplace, and community contexts. They will examine qualitative, quantitative, mixed-method, and Indigenous research methodologies, with emphasis on selecting approaches that align with research purpose, context, and available evidence. Students will explore how research questions are formed; how data and information are gathered, analyzed, and interpreted; and how findings are communicated responsibly. Students will critically evaluate sources, apply methodological reasoning, and consider ethical dimensions as they develop a research methodology for a proposed project relevant to their own field of study.
In this reinforcing writing course, students strengthen their academic writing through inquiry, critical reading, and iterative writing processes that support clear scholarly communication in academic contexts. They critically evaluate sources, summarize, paraphrase, and synthesize complex texts, and integrate evidence to develop coherent academic arguments. Students also build independent research and writing habits while using sources and artificial intelligence (AI) tools ethically and with integrity. The course encourages engagement with varied perspectives and diverse ways of knowing, helping students write with clarity and purpose across disciplines. Through guided practice and reflection, students produce responsible academic writing that prepares them for research and communication tasks in academic and professional contexts.