Lecturing

  • (2026)

    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.

  • (2026) (2027)

    Taught by T. Thomas Nicoletti, this introductory course gives students from across the university a working foundation in information systems and the technologies that power modern organizations. The course builds core fluency in data, business processes, and systems thinking, while introducing emerging technologies including AI and automation and how they reshape the way organizations operate. Through hands-on exercises, real-world examples, and applied projects, students learn to think critically about technology, work with data to support decisions, and communicate effectively with both technical and non-technical audiences.

  • (2026)

    Taught by T. Thomas Nicoletti, this course equips students from across the university with the skills to turn data into clear, compelling, and persuasive visual narratives. The course emphasizes the principles of effective visual design, the psychology of how audiences read and interpret information, and the craft of building a story arc around data. Students work hands-on with modern visualization tools to explore datasets, surface meaningful patterns, and design visuals that inform and persuade. Through applied projects and real-world cases, students learn to translate complex analysis into insights that resonate with technical and non-technical stakeholders alike.

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.