Immunogenomics II: Data Science in Systems Immunology

Undergraduate / Graduate

This course presents essential concepts in genomic data science and trains students to apply the concepts in immunological contexts. The course encourages students to think independently about genomic analyses. Students will gain an understanding of how to use basic statistics, linear algebra, and computation to explore, analyze, and interpret published RNA-sequencing data (bulk and single-cell) and immune-cell receptor sequencing data. Student performance will be assessed through in-class discussions, take-home assignments and exams, and an end-of-term final project of the student's choice.