The course requirements listed below are designed to provide a solid, common foundation that is useful in all areas of Genomic Analysis. These course requirements have been kept to a minimum since all trainees will also have substantial course requirements from their major departments. However, approximately one course per quarter from the requirements listed below will be expected from the trainees until the course requirements are satisfied. In addition, the required Ethics course must be taken by the end of the first year as a trainee. Trainees may petition to substitute an equivalent course, that they have already taken or plan to take, for any course listed below by simply showing substantial overlap in the covered material.
Trainees are required to take one of the following six courses: Chemistry & Biochemistry 153A or 153B; Ecology and Evolutionary Biology 121; Microbiology, Immunology, and Molecular Genetics 101 or 102; and Molecular, Cell, and Developmental Biology 144.
Trainees are required to take one of the following two-quarter sequences.
The above “B” quarter can be substituted with:
203B. Introduction to Data Science. Units: 4. Lecture, three hours; laboratory, two hours. Requisite: course 203A. Principles of data science. Topics include Health Insurance Portability and Accountability Act (HIPAA) and data ethics, databases and data retrieval, data merging and cleaning, data visualization and web presentation, reproducible research, collaborative research, cluster computing, and cloud computing. S/U or letter grading.
Trainees are required to take Human Genetics 236A. In addition, trainees must take at least two of the following ten courses: Bioinformatics 260A; Biomathematics 207A, 207B, 211; Ecology & Evolutionary Biology 200A, 235; Human Genetics 224, 244, 265; and Statistics 254.
Trainees are required to take one quarter of Human Genetics 282 per year.
Trainees are required to take MIMG 234 or Biomathematics M261 by the end of their first year as a trainee.