Introduction to Machine Learning

CT Score

1500

#0 of 0 in CSC

Difficulty

—/10

Workload

—h/wk

Median grade

—

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Would take again

—

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Grade distribution

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By professor: same course, different game

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In the tree

CSC207H1 / CSC207H5 / CSCB07H3 ; MAT235H1 / MAT235Y1 / MAT237Y1 / MAT257Y1 / (minimum of 77% in MAT130H1 / MAT135H1 and MAT136H1 )/ (minimum of 73% in MAT148H1 / minimum of 67% in MAT158H1 and minimum of 73% in MAT149H1 / minimum of 67% in MAT159H1 )/ minimum of 73% in MAT137Y1 / minimum of 67% in MAT157Y1 ; MAT223H1 / MAT240H1 ; STA237H1 / STA247H1 / STA255H1 / STA257H1 Prerequisite for Faculty of Applied Science and Engineering students: APS105H1 / APS106H1 / ESC180H1 / CSC180H1 ; MAT291H1 / MAT294H1 / MIE230H1 / (minimum of 77% in MAT186H1 , MAT187H1 )/ (minimum of 73% in MAT194H1 , MAT195H1 )/ (minimum of 73% in ESC194H1 , ESC195H1 ); MAT185H1 / MAT188H1 ; STA286H1 / CHE223H1 / CME263H1 / MIE231H1 / MIE236H1 / MSE238H1 / ECE286H1→CSC311H1→unlocks 2 courses

2 mapped courses list CSC311H1 as a prerequisite. See on the map →

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