Course Requirements (2012-13)
See here for a list of projected course offerings for 2012-13.
Each student in the Bioinformatics and Systems Biology Track must take the four courses below.
- Bioinformatics I (PHAR 201). Biological Data & Analysis
- Bioinformatics II (BENG 202/CSE 282). Introduction to Bioinformatics Algorithms
- Bioinformatics III (BENG 203/CSE 283). Genomics, Proteomics, and Network Biology
- Bioinformatics IV (MATH 283). Statistical Methods in Bioinformatics
All students in years 1-2 must take the Colloquium every quarter it is offered (typically fall and winter).
All students must take one of the two ethics courses, SOMI 226 or BIOM 219.
During the academic year, all students must be enrolled in the appropriate research course for their level. Students typically do three rotations in year 1 (BNFO 298) and then do research units (BNFO 299) with their thesis advisor in years 2 and later. BNFO 299 units may be varied to meet the full-time enrollment requirement of 12 units per quarter in F,W,S. Students are expected to do research during the summer as well; however, during the summer, do not enroll in BNFO 298 or BNFO 299. For summer research, students are still responsible for all other rotation and thesis research requirements such as proposals, reports, presentations, committee meetings, notifying the graduate coordinator when joining/changing labs, etc.; the only difference is that students do not enroll in BNFO 298 or BNFO 299 in the summer.
A typical teaching assistantship is 110 hours/quarter (25% load, 2 units of BNFO 500); however, this varies by class. 220 hours/quarter is a 50% load, 4 units.
Each student in the Bioinformatics and Systems Biology track will select from four of the nine elective fields below. One must be from a Biology field (Elective fields 1, 2, 3) and one from a Computer Science/Engineering field (Elective fields 4, 5, 6, 7). For each elective, multiple course options currently available are listed.
- MED 263. Bioinformatics Applications to Human Disease
- MED 264. Principles of Biomedical Informatics
- MED 265. Healthcare Systems: A Quantitative Perspective
- MED 266. Machine Learning in Biomedicine
- MED 267. Modeling Clinical Data and Knowledge for Computation
- MED 269. Clinical Decision Support Systems at the Point of Care
- MED 272. Population Health Informatics
- MED 273. Communicating Biomedical Informatics
- MED 276. Grant Proposal Writing Practicum
- MED 296. Clinical Informatics Journal Club