MCGILL · COMP · COURSE SHEET
COMP 5884 creditsSee offeringsHas prerequisites
Probabilistic Graphical Models
CT Score
1500
#0 of 0 in COMP
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
COMP 251, MATH 323, MATH 324; or equivalents. Restrictions: Not open to students who have taken COMP 766 or COMP 767 when the topic was "Probabilistic Graphical Models". A background in AI (COMP 424) and machine learning (COMP 451 or COMP 551) is highly recommended. Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more. Launch Visual Schedule Builder Back to top Service Point 3415 McTavish Street Montreal QC H3A 0C8→COMP 588→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.