CPS 130: Introduction to the Design and Analysis of Algorithms

uke Computer Science


This course is an introductory undergraduate course on the design and analysis of algorithms. The course builds on the study of the analysis and implementation of data structures and algorithms from CPS100. The goal is to introduce a number of important algorithm design techniques as well as basic algorithms that are interesting both from a theoretical and also practical point of view. We will cover basic algorithm design techniques such as divide-and-conquer, dynamic programming, and greedy techniques for optimization. We will cover techniques for proof of the correctness of algorithms and also asymptotic analysis of algorithm time bounds by the solution of recurrence equations. We will apply these design and analysis techniques to derived algorithms for a variety of tasks such as sorting, searching, and graph problems. Some specific algorithm topics include: deterministic and randomized sorting and searching algorithms, depth and breadth first search graph algorithms for finding paths and matchings, and algebraic algorithms for fast multiplication and linear system solving.


CPS 100 or equivalent and four semesters of college mathematics. This course requires undergraduate background in data structures (as covered in CPS100) as well as a certain amount of mathematical sophistication (e.g., as required to solve recurrence equations). A quiz on recurrence equations early in the course will provide you with some feedback on whether your mathematics training will suffice. If you feel that you may not have sufficient background, please talk with the instructor John Reif.




Times: Tues & Thurs 2:50 PM – 4:05 PM    Room: Biosci 111


Professor John Reif



D223 LSRC Building



(919) 660-6568



reif at cs.duke.edu

Web page:



Office hours:


Tues, Thurs: 4:05 pm - 5:00 pm


Recitation by TA:


Recitation by TA


Times:  Friday 1:15PM – 2:30PM   

Room: Soc Psy 126


Nikhil Gopalkrishnan



D330 LSRC Building



(919) 660-6589



nikhil at cs.duke.edu

Web page:



Office hours:


Tues, Thurs: 4:05 pm - 5:00 pm

Course material:

·       Table of Contents

·       Solutions to Selected exercises and problems in CLRS

·       Bug Reports in CLRS

Optional auxiliary reading (other good reference books):

Course synopsis:


Summary of topics covered and lecture notes:

Consult the schedule of lecture topics for a list of topics and a copy of lecture notes for the lectures to date. Other handouts can be found in the handouts directory, and homeworks and old midterm and final exams can be found in the homework directory. See resources page for additional information.

Homework assignments:

Homeworks are due roughly every week and must be turned in before class on Wednesday of the week they're due. No credit is given for late solutions. For exceptional circumstances, see John Reif in advance, rather than after the due time. Homework assignments will be archived in the homework directory. The postscript version, pdf version, and source LaTeX code will be available for each homework problem.

Details about proper style [ps] for writing up homework solutions and some guidelines for grading are available. More detailed notes on how to write up technical material [ps.gz] in the Computer Science field (much of which is beyond the scope of this course) are available.

It is recommended but not required that LaTeX be used for typesetting homework problems. You can make use of the LaTeX source file, the LaTeX macros, a LaTeX template file, a LaTeX guide, and hypertext LaTeX help.

Honor code: For homework problems, discussion among students is permitted, but students MUST write up solutions independently on their own. No materials or sources from prior years' classes or from the Internet can be consulted. Breaking the rules can result in expulsion. Each student is required to make a copy of this page, sign it indicating that the contents are understood, and turn it in to John Reif.


There will be no make-up exams for missed exams. Missing one of the three midterm exams due to an illness requires filing the web-based Short-Term Illness Notification Form at http://www.aas.duke.edu/trinity/t-reqs/illness, and will result in the remaining midterm exams grades being re-weighted (to 20% each). By University Policy, missing the Final exam results in a grade X.



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