GENERATIVE ARTIFICIAL INTELLIGENCE FOR ENGINEERING APPLICATIONS

COMARTS 343

Explore the rapidly evolving landscape of communication technologies, with a particular focus on generative artificial intelligence (AI), and discuss its role in communication contexts. Examine the transformative effects of these emerging technologies on individual, social, and professional lives. Consider the potential dark sides of AI, including ethical concerns, biases, and the implications of over-reliance on technology in communication.

COMPSCI 540

Principles of knowledge-based search techniques, automatic deduction, knowledge representation using predicate logic, machine learning, probabilistic reasoning. Applications in tasks such as problem solving, data mining, game playing, natural language understanding, computer vision, speech recognition, and robotics.

COMPSCI/ECE 763

Explore security and privacy aspects of trustworthy artificial intelligence. Three core subjects will be considered: differential privacy and algorithmic fairness; adversarial machine learning; and end-to-end trustworthy systems. A selection of more advanced topics may be covered such as additional notions of privacy, language-based security, and robust optimization. Knowledge of probability/statistics (such as MATH 431), cryptography (such as MATH 435), security (such asCOMP SCI 642), and modern machine learning (such asM E/​COMP SCI/​E C E  539or540) is required.

LIS 408

Introductory exploration of generative artificial intelligence (AI) from a strategic information studies perspective, such as emphasizing values of privacy, data stewardship, and UX. Topics include societal, legal, policy, and ethical issues related to generative AI, and practicing the ability to evaluate, plan for, and securely work with these digital technologies. Focus on the strategies, skills and self-sufficiency necessary to evaluate, implement, and critique various and evolving AI tools.

GENBUS 107

Introduction to the foundational concepts and applications of Artificial Intelligence (AI) in today's business world. Covers what AI is, how it works, and its growing impact on various business contexts. Topics include predictive AI, deep learning, generative AI, leveraging AI tools, and responsible AI.