Spring 2004–05
Ma 121c - Combinatorial Analysis
TR 2:30-4:00  // 159 Sloan

Please note time and location have been

corrected, due to an administrative error.


 Peter Keevash


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Ma 121 is the advanced undergraduate/introductory graduate course in combinatorics. The third term will concentrate on the probabilistic method, which is a powerful tool premised on the following basic idea. In order to prove existence of a combinatorial structure with certain properties, we construct an appropriate probability space, and show that a randomly chosen element of this space has the desired property, with positive probability. Topics covered will include the second moment method, the local lemma, martingales, correlation and large deviation inequalities, Poisson approximation and pseudo-randomness.

Textbook: The probabilistic method, by N. Alon and J. Spencer, second edition.

Grading: Grades will be based on fortnightly homework assignments. There will be no exams.

Homework Policy: Collaboration on solving the homework problems is encouraged; however, each student must demonstrate their individual understanding of the solution by writing it up on their own, in their own words. Late homework will not be considered without a documented excuse.

Homework: Turn in homework to Ma 121 box outside 253 Sloan.