BIOMATH 210
Optimization Methods in Biology
Biomathematics · 4 units · Graduate courses (200-299)
Survey of theory and numerical methods for discrete and continuous optimization, with applications from genetics, medical imaging, pharmacokinetics, and statistics.
S/U or letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Preparation: undergraduate mathematical analysis and linear algebra; familiarity with programming language such as Fortran or C. Modern computational biology relies heavily on finite-dimensional optimization.
BruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "undergraduate mathematical analysis" (no course number found)
- · could not read "linear algebra" (no course number found)
- · could not read "familiarity with programming language such as Fortran" (no course number found)
- · could not read "C. Modern computational biology relies heavily on finite-dimensional optimization" (no course number found)
- · no course reference could be read from this requisite
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.