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BIOINF 2019 - BIOMEDICAL DATA STREAMINGMinimum Credits: 1 Maximum Credits: 3 In this project students and a faculty mentor will explore data streaming technologies to implement scalable and distributed biomedical data ecosystems. In particular, students and a faculty mentor will conduct a project to learn how biomedical data processing can be enhanced with processing power of modern data-streaming infrastructures to enable continuous biomedical data acquisition and analysis. Upon completion of this project students will be able to understand major principles and trade-offs in design and development of a comprehensive biomedical data processing pipeline for data-intensive applications. Students will gain practical skills in selecting, applying, and developing data streaming solutions appropriate for specific data processing and data analysis tasks. Academic Career: Graduate Course Component: Lecture Grade Component: Grad Letter Grade
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