COM SCI 168
Computational Methods for Medical Imaging
Computer Science · 4 units · Undergraduate upper division (100-199)
Theory and practice of image acquisition including angiography, computed tomography (CT), and magnetic resonance (MR). Project-based course covers applied topics in medical imaging including image processing, atlasing, predictive modeling, personalized medicine, data driven and machine learning methods.
Letter grading.
Requisites
Official UCLA wording
Requisites: course 32 or Program in Computing 10C with grade of C– or better, Mathematics 33A, one course from Civil and Environmental Engineering 110, Electrical and Computer Engineering 131A, Mathematics 170A, 170E, or Statistics 100A.
BruinTree reads · Prerequisite
needs reviewconfidence 0.75 · from text- all of
- grade C- or better in
- one of
- MATH 33A
- 1 of
- EC ENGR 131A
- MATH 170A
- MATH 170E
- STATS 100A
- · mixed comma-level AND/OR in "course 32 or Program in Computing 10C with grade of C–, Mathematics 33A, one course from C&EE 110, EC ENGR 131A, Mathematics 170A, 170E, or Statistics 100A" — grouping is a best reading
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
COM SCI 168
- 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.