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+This course is aimed at graduate students, postdocs, and faculty interested in learning about single cell analysis in the Bioconductor ecosystem in R. Learners should have a solid basis in the following foundational areas:
+
+* Molecular biology basics on concepts such as DNA sequencing, cell structure, and the central dogma of molecular biology
+* Statistics basics such as hypothesis tests, summary statistics, principal component analysis
+* R basics such as variable assignment, accessing object components, and looking up help documentation
+
+The following online textbooks provide excellent coverage of these and related topics if you would like a refresher:
+
+* *Molecular Biology of the Cell*, Alberts et al.
+* [Modern Statistics for Modern Biology](https://www.huber.embl.de/msmb/)
+* [R for Data Science (2e)](https://r4ds.hadley.nz/)
+
+The following are *not* required:
+
+* your own single-cell dataset (we use publicly available data)
+* access to high-performance computing environments (we use small demonstrative examples that are tractable on any reasonably modern laptop)
+
+