Interacting with Omics Data.

Catalog description

The course introduces computational and machine learning methods for analyzing high-dimensional datasets, using omics data as a primary motivating example. Students will explore data acquisition, preprocessing, visualization, and predictive modeling across diverse data types. Through hands-on assignments and a final project, students will learn to select and apply generalizable computational and machine learning methods to extract insights from complex datasets and generate scientifically meaningful hypotheses.