Description Analytic Combinatorics aims to enable precise quantitative predictions of the properties of large combinatorial structures. The theory has emerged over recent decades as essential both for the scientific analysis of algorithms in computer science and for the study of scientific models in many other disciplines. This course combines motivation for the study of the field with an introduction to underlying techniques, by covering as applications the analysis of numerous fundamental algorithms and data structures from computer science. The second half of the course introduces Analytic Combinatorics, starting from basic principles.
Prerequisites COS 226 and COS 340 or equivalent background in computer science and mathematics.

Robert Sedgewick Office hours: by appointment anytime Monday, CS 319. 
Required Reading (1st half) Analysis of Algorithms, 2nd ed. Sedgewick and Flajolet AddisonWesley, 2013 ISBN 032190575X [ Amazon · Inform IT ]. 
Online Resources (1st half) Analysis of Algorithms booksite http://aofa.cs.princeton.edu 

Required Reading (2nd half) Analytic Combinatorics, by Flajolet and Sedgewick Cambridge University Press, 2009 ISBN 9780521898065. [ Amazon ]. 
Online Resources (2nd half) Analytic Combinatorics booksite http://ac.cs.princeton.edu 
Lectures Available as studioproduced videos for students to watch at their own pace (and rewatch to clear up any confusion and to study for exams), two lectures per week. The first lecture will be a live lecture that places the course content in a CS context by considering a CS application with wide impact. Anyone with an interest in learning what analytic combinatorics is all about is welcome to attend (Monday, February 4, 3:00–4:20, Friend 111).
Class Meetings Mondays 3:00–4:20, Friend 111. For exams, exam and assignment preparation and postmortem, and enrichment as appropriate. Except for exams and the first meeting, class meetings will normally last less than an hour and are optional. The first meeting is a live lecture on Monday, February 4. We will not meet on Wednesdays.
Online course materials
Lecture videos, lecture slides, assignments, and other resources
are accessible through the "Online Course Materials" tabs on the booksites for
Analysis of Algorithms
for the first half of the course
and Analytic Combinatorics
for the second half of the course.
Your grade for the course will be based on the following components:
For problem sets, you may work together in groups of two or three (no larger) and discuss approaches to solving problems, but you must document such collaboration and each student must prepare all submitted solutions without assistance from anyone.
To be fair to people who sumbit on time and to minize disruption to our grading workflow, we need to deduct points at our discretion for late submissions, but it is always better to submit than to not submit.
Copyright.
All rights reserved. None of this material may
be reproduced, stored in a retrieval system, or transmitted,
in any form or by any means, electronic, mechanical, photocopying,
recording or otherwise without prior written permission.
Permission is granted to instructors who adopt
the textbooks to use this material in
conjunction with their course.