51³Ô¹Ï

Curriculum Highlights

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AI in Engineering and Applied Science Minor

Artificial intelligence is reshaping industries and redefining how complex problems are solved. Gonzaga University offers 51³Ô¹Ïs from all majors the opportunity to engage with this transformative field through an interdisciplinary academic pathway.

This minor is open to every undergraduate 51³Ô¹Ï, regardless of their major—providing those in fields like business, education, law, and the arts with practical skills in data-driven decision-making, ethical AI use, and technological literacy that enhance their future careers.

AI Concentration for Electrical Engineering Majors and Computer Engineering Majors

Students interested in shaping the future of intelligent technologies can deepen their expertise through Gonzaga University’s AI concentration in electrical engineering or computer engineering. This concentration prepares 51³Ô¹Ïs to apply artificial intelligence concepts to real-world engineering challenges while developing the technical skills and ethical foundation needed for in-demand careers.

AI Courses and Certificate Programs for Working Professionals

Gonzaga's Center for Life Long Learning helps you aquire essential skills in the engineering and technology sector through specialized courses in cybersecurity and software engineering.

Artificial Intelligence Powered Automation

Electrical Engineering, EENG 413, 3 Credits

Concepts and components of industrial automation and control; automation logic design; programmable logic controller (PLC) circuits and design; Generative AI algorithms and PLC; Reinforcement Learning and its application in control; AI-based solution in predictive maintenance.

Responsible Data Science

Computer Science, CPSC 433, 3 Credits

Study of the ethical foundations concerning data science and algorithms in datasets. Topics include: privacy, autonomy, security and informed consent in data gathering; fairness, accuracy and diversity in data (pre)processing; algorithm bias and bias amplification; transparency and explainability in algorithmic decision-making; identifiability and non-discrimination methods in data processing and algorithms; care for users in the design of systems or specific models such as impacts on disadvantaged and marginalized groups; ethical design for accountability and user recourse; public trust and confidence in models; and justice issues concerning the curation of datasets for machine learning and AI systems. Emphasis throughout on guiding principles and responsibilities of the professional founded on ethical frameworks.

Artificial Intelligence and Philosophical and Ethical Considerations

Doctoral Program in Leadership Studies, DPLS 721, 3 Credits

Students are invited to consider how different forms generate different kinds of understandings. They are introduced to qualitative research methods known as arts-based, arts-informed, or alternative methods. The topic of leadership is explored through stories and narrative, dance and theater, music and poetry, film, and visual arts data.

Artificial Intelligence and Communication

School of Leadership Studies, COML 524, 3 Credits

Artificial Intelligence is the new technological frontier and will affect many aspects of our lives in ways yet to be conceived. From ChatGPT to DALE-E 2 to Replika the way we create, interact, and communicate is evolving. This course will examine the ways in which artificial intelligence is used as a tool to communicate – in business, education, and personal settings through the written, visual, and verbal uses of AI. The course will discuss how we can implement AI tools to solve various problems that face our society in areas including environmental, social, business, and health while understanding the ethical issues and concerns inherent within AI. Students will explore the design, use, and potential for AI tools through hands-on interactions. Equivalent: DPLS 702, LDRS 601

Artificial Intelligence Explorations and Applications

School of Leadership Studies, COML 526, 3 Credits

Technology is one aspect of the accelerating change that leaders must deal with. Leadership responsibilities in organizations will increasingly influence and be influenced by technology. This course is designed to provide a foundation for understanding technology in today's societies and the role of leadership in enhancing organizations through technology. Equivalent: DPLS 707, LDRS 602