NEURO C251
Computational Neuroscience for Interdisciplinary Scientists
Neuroscience, Graduate · 4 units · Graduate courses (200-299)
Designed for students in both experimental and computational tracks to acquire significant breadth and depth in computational neuroscience. Highly interdisciplinary study in computational neuroscience. Integrates data-driven modeling, simulations, and analyses of neural dynamics to train students in hypothesis-driven approach to computational modeling. Students can immediately apply acquired knowledge and skills in research or industry settings. Concurrently scheduled with course C151.
S/U or letter grading.
Requisites
Official UCLA wording
Requisites: course M101A or Psychology 115; Life Sciences 30A and 30B, or Mathematics 3A, 3B, and 3C, or 31A, 31B, and 32A; Life Sciences 40 or Psychology 100A or Statistics 10 or 13.
BruinTree reads · Prerequisite
needs reviewconfidence 0.65 · from text- one of
- one of
- all of
- · "NEURO M101A" is not in this catalog version
- · mixed comma-level AND/OR in "Life Sciences 30A and 30B, or Mathematics 3A, 3B, and 3C, or 31A, 31B, and 32A" — grouping is a best reading
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
NEURO C251
- LIFESCI 30AMathematics for Life Scientists
- MATH 3ACalculus for Life Sciences Students
- MATH 1Precalculus
- PSYCH 100APsychological Statistics
- COMPTNG 10AIntroduction to Programming
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.