CSC 423

Randomized Algorithms

Units: 1.5

Hours: 3-0

Basic techniques in design and analysis of randomized algorithms: moments and deviations, Markov chains and random walks, martingales, and algebraic techniques. Other topics include: the probabilistic method, random structures and complexity. Applications are selected from: parallel algorithm, routing networks, combinatorial optimization, data structure, approximate solutions to intractable problems, cryptography, pattern matching, and computational geometry.

Prerequisites:

  • CSC 226 with a minimum grade of B+; and
  • minimum third-year standing.

Undergraduate course in Computer Science offered by the Department of Computer Science in the Faculty of Engineering.

Schedules:
Summer Fall Spring

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