Participate in engaging, collaborative projects that address real campus processes, observe and map operations on-site, and discuss the integration of ethics, sustainability, and AI in engineering practice. Process improvement and data-driven analysis are foundational to solving engineering challenges. In this course, you will develop essential skills in process analysis, data-driven problem solving, and professional engineering communication. Working in teams, you’ll learn to apply structured methodologies (DMAIC and Socially Engaged Design) to real-world problems, leveraging statistical tools, qualitative and quantitative analysis, and stakeholder input to identify sustainable improvements. Prepare to build a powerful engineering toolkit that bridges data analysis and process improvement. We’ll cover the following topics:

• Applying DMAIC and Socially Engaged Design Process to open-ended
  engineering challenges
• Statistical data analysis using Minitab to measure, analyze, and improve
  processes
• Effective teamwork, inclusive collaboration, and professional engineering
  communication