COM SCI C222
Algorithms in Computational Genomics
Computer Science · 4 units · Graduate courses (200-299)
(Formerly numbered CM222.) Course C221 is not requisite to C222. Prior knowledge of biology not required. Designed for engineering students as well as students from biological sciences and medical school. Databases of genomic sequence data are among the largest datasets in all of science. Assembling, indexing, and querying such tremendous datasets is computationally challenging yet critical for many areas of biomedical research. Focus on development of scalable algorithms for analysis of genomic sequence data, with additional focus on formulating biologically relevant problems as computational problems and then solving these problems by developing new algorithms. Concurrently scheduled with course C122.
Letter grading.
Requisites
Official UCLA wording
Requisites: course 32 or Program in Computing 10C with grade of C– or better, and one course from Civil Engineering 110, Electrical and Computer Engineering 131A, Mathematics 170A, Mathematics 170E, or Statistics 100A.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured data- all of
- one of
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
COM SCI C222
- COM SCI 32Introduction to Computer Science II
- COM SCI 31Introduction to Computer Science I
- C&EE 110Introduction to Probability and Statistics for Engineers
- MATH 32ACalculus of Several Variables
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.