NUT625 Artificial Intelligence in Nutrition and Food Science

[3–0, 3 cr.]

This graduate-level course explores the application of Artificial Intelligence (AI) in the fields of nutrition and food science. Students will critically examine AI techniques—such as machine learning, deep learning, natural language processing, and expert systems—and their applications in dietary assessment, nutritional epidemiology, personalized nutrition, food quality control, food safety, and supply chain optimization. Through hands-on activities, discussions, and project-based learning, students will develop competencies in leveraging AI for research, innovation, and evidence-based decision-making in nutrition and food systems.