Data Science with Biomedical Applications. (3-0) 3 Credit Hours

Catalog description

Prerequisite: CS 2123 and CS 3333 . This course covers fundamental data science methods and models, focusing on real-world biomedical applications and practical tools for data-driven problem-solving. Students will have the opportunity to develop essential skills in data science programming, statistical modeling, data extraction and transformation, data visualization, and machine learning to analyze complex datasets. While examples are drawn from health and life sciences, the concepts and methods are applicable to other domains. No background in health or life sciences is required. (Same as CS 3753 . Credit cannot be earned for both CS 3763 and CS 3753 .) This course has Differential Tuition. Course Fee: IUCA $45; DL01 $75.