The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).
Syllabus 4
Week 1 4 hours
Breadth-first and depth-first search; computing strong components; applications.
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The actual Stanford lectures (CS229, CS224N, CS231N…): the deepest free material on AI anywhere.
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Graduate level: needs linear algebra, probability and programming first.
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Instructor(s): Tom Leighton, Marten van Dijk This course covers elementary discrete mathematics. Mathematical definitions and proofs are emphasized. Topics include formal logic, induction, graph theory, asymptotic notation and growth of functions, counting principles, and discrete probability.
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