JOHNS_HOPKINS · EN.553 · COURSE SHEET
EN.553.6693 creditsSee offeringsHas prerequisites
Large-Scale Optimization For Data Science
CT Score
1500
#0 of 0 in EN.553
Difficulty
—/10
Workload
—h/wk
Median grade
—
from grade distribution
Would take again
—
n = 0 verified
Grade distribution
No distribution published for this course.
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
No section data for this term yet.
In the tree
background in Linear Algebra (or Computational Linear Algebra), Multivariable Calculus, Probability, and a basic knowledge of programming - experience with at least one high-level computing language (e.g.: Python, Matlab, Julia, C, ….). Distribution Area: Quantitative and Mathematical Sciences→EN.553.669→unlocks 0 courses
No mapped courses require this one yet. See on the map →
Study groups
0 active🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.