Graph-theoretical Approaches to Knowledge Discovery

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1500

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No previous knowledge of Graph Theory is assumed. Students will be assumed to have working knowledge of the following: • Linear algebra (such as in MATH 355 , ELEC 301 or equivalent) • Multivariate calculus (such as in MATH 212 , MATH 232 , or equivalent) • Probability and statistics (such as in STAT 310 , or ELEC/STAT 331 or equivalent) If unsure, please check with the instructor. In addition, • If you have taken ( ELEC 531 and ( CMOR 553 / ELEC 533 / STAT 583 ) ) or ( STAT 615 and STAT 518 ) you automatically qualify. • Familiarity with simple information theoretical notions ( ELEC 241 or equivalent) is an advantage. These will be briefly reviewed in the course as necessary. • Having taken machine learning type courses such as COMP/ELEC/ STAT 502 , ELEC/ COMP 440 , STAT 613 is an advantage→STAT 603→unlocks 0 courses

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