Data Science 290
Specific topics, may vary from section to section, year to year. Course may be repeated for credit when topic changes. Students may enroll in multiple sections of this course within the same semester.
This is a multi-topic and multidisciplinary course that explores contemporary and futuristic topics that are intertwined with data and data applications. This course synthesizes data and AI research, enterprise technology strategy, data business model, and market analysis into one. Students are required to participate in weekly sessions and write response pieces as well as a final paper studying one defining data application or case study end-to-end. Students taking this course will further broaden and deepen their holistic understanding of current topics in data applications and will gain the skills to systematically and rigorously analyze any data application now or emerging ones in the future in various industries. This is the course for you if you want to develop a depth of understanding on both the technical side and the applied side in various contemporary domains and markets, and how the modern applications impact data science practitioners and the general population.