Lecturing

  • Taught by T. Thomas Nicoletti, this capstone course equips students from across the university with practical skills in analytics, strategy, and problem-solving applied to real-world organizational challenges. The course emphasizes data-driven decision-making, systems thinking, and emerging technologies, including AI and automation, while engaging students with live industry cases, guest speakers, and applied final projects. Students learn to translate theory into actionable insights and communicate effectively with technical and non-technical stakeholders.

Guest Lecturing

  • Taught with BG (Ret.) Dr. David Barnes, Texas A&M University, Mays School of Business

    T. Thomas Nicoletti delivered a guest lecture at Texas A&M University’s Mays School of Business on the management and ethical implications of artificial intelligence in organizations. The session examined how AI systems intersect with strategy, governance, and human decision-making, emphasizing why most AI pilots fail to scale due to misalignment between technology, workflows, and leadership incentives. Drawing on applied examples across logistics, finance, healthcare, and education, the lecture highlighted ethical risks such as bias, opacity, workforce displacement, and over-reliance on automated systems, while offering practical frameworks for responsible AI leadership, organizational readiness, and governance design. The discussion focused on treating AI not as a standalone technical tool, but as a form of organizational change requiring accountability, transparency, and ethical stewardship.