Informatics and Computing
INF 586 - Data Analytics Capstone
Description: This course serves as a hands-on, project-based studio where students apply computational and applied data science techniques to real-world datasets. The course emphasizes problem-solving, data-driven decision-making, and visualization techniques within interdisciplinary applications, such as bioinformatics, eco-informatics, astroinformatics, and health informatics. Students will work in teams to analyze large-scale datasets, develop machine learning models, and present actionable insights. Letter grade only.
Units:
3
No sections currently offered.
Requirement Designation:
Prerequisite: CS 500, CS 506, INF 511, and ITC 503 with grades of C or better