CSC303H1
UTSGSocial and Information Networks
A course on how networks underlie the social, technological, and natural worlds, with an emphasis on developing intuitions for broadly applicable concepts in network analysis. Topics include: introductions to graph theory, network concepts, and game theory; social networks; information networks; the aggregate behaviour of markets and crowds; network dynamics; information diffusion; popular concepts such as "six degrees of separation," the "friendship paradox," and the "wisdom of crowds."
View full details on the UofT Academic CalendarPrereq: CSC263H1/ CSC265H1/ CSC263H5/ CSCB63H3, STA247H1/ STA255H1/ STA257H1/ ECO227Y1/ STA237H1/ STAB52H3/ STAB57H3, MAT223H1/ MAT240H1Breadth: Physical & Mathematical UniversesExcl: CSCC46H3. NOTE: Students not enrolled in the Computer Science Major or Specialist program at A&S, UTM, or UTSC, or the Data Science Specialist at A&S, are limited to a maximum of 1.5 credits in 300-/400-level CSC/ECE courses.
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Course Info
DepartmentCSC
CampusUTSG (St. George)
Level300
Hours24L/12T
BreadthPhysical & Mathematical Universes
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