CS 3343/3341 Analysis of Algorithms
Spring 2013


This Syllabus is provided for informational purposes regarding the anticipated course content and schedule of this course. It is based upon the most recent information available on the date of its issuance and is as accurate and complete as possible. I reserve the right to make any changes I deem necessary and/or appropriate. I will make my best efforts to communicate any changes in the syllabus in a timely manner. Students are responsible for being aware of these changes.

Class Description

From the catalog: This course is to provide an introduction to the design and analysis of computer algorithms. The students will learn how to analyze the performance of computer algorithms, and programming techniques and data structures used in the writing of effective algorithms.

We will discuss classic algorithm design strategies (e.g., divide-and-conquer, dynamic programming, greedy approaches), data structures (e.g., hash tables, binary search trees), classic problems (e.g., sorting, knapsack problem, scheduling, graph-related problems) and the classic algorithms to solve them. We will also analyze algorithm complexity throughout, and touch on issues of tractibility such as NP-Completeness.

Objectives: to learn and apply techniques for the design and analysis of algorithms.

Prerequisites: CS 2123 , CS 2233, CS 3333

Lecture (3343)

Time: TR 9:30am - 10:45am
:AET 0.204

Recitation (3341)

Time: T/R 11:00am - 11:50am
Location: SB 3.02.07



Teaching Assistant:


Tentative lecture schedule: (Scheule and lecture slides are for information only and are subject to change without notice.)

Week Date Topic Notes Reading Assignment Due Misc
1 1/15 Introduction, administration Slides Ch 1,2     Course Policy
1/17 Basics, asymptotic notation Slides Ch 3  HW1 solution


2 1/22 Asymptotic notation Slides Ch 3   


1/24 Analyzing recursive algorithms - defining recurrence Slides Ch 4 HW2 solution HW1  
3 1/29 Analyzing recursive algorithms - recursion tree method Slides Ch 4    
1/31 Analyzing recursive algorithms - master theorem Slides Ch 4 HW3 solution HW2  
4 2/5 Analyzing recursive algorithms - substitution method Ch 4      
2/7 Analyzing recursive algorithms - substitution method Ch 4    
5 2/12 Review for exam 1, Quick sort Slides Ch 1-4, 7  


2/14 Quick sort Slides Ch 7  

6 2/19 Heap sort & Priority queue Slides Ch 6      
2/21 Exam 1 (covers week 1-4)  Solution (credit to John Griffin)
7 2/26 Linear time sorting algorithms Slides Ch 8 HW4 solution  
2/28 Order statistics Slides Ch 9      
8 3/5 Hash tables Slides Ch 11    
3/7 Red black trees Slides Ch 13 HW5 solution HW4  
9   Spring Break
10 3/19 Dynamic programming Slides Ch 15      
3/21 Dynamic Programming Slides Ch 15      
11 3/26 Dynamic Programming Ch 15 HW6 solution HW5  
3/28 Greedy Algorithm Slides Ch 16    
12 4/2 Review for exam 2 Slides        
4/4 Intro to graphs Slides Ch 22 HW7 solution HW6  
13 4/9 Minimum spanning tree Slides Ch 22      
4/11 Exam 2 (Covers topics from 2/12 to 3/26) Exam | Solution
14 4/16 Minimum spanning tree, Shortest paths Slides Ch 23      
4/18 Graph search, topological sort Slides Ch 24 HW8 solution HW7  
15 4/23 String matching Slides Ch 32    
4/25 P/NP Slides Ch 34 HW8  
16 4/30 Final review Slides        


Final: May 6, Monday, 10:30 am - 1:00 pm



     Exam 1 15% 
     Exam 2 15% 
     Final Exam 30% 
     Lab Work and attendence 10% 
     Homework assignments 30 %

One lowest grades in homework will be dropped.  Exams cannot be made up, cannot be taken early, and must be taken in class at the scheduled time.  There will be no make up exams. The grade that you obtain for the course will also serve as the grade for the lab.

Since your grade is partially based on computer and homework assignments, they must be your own work. You can ask me questions about any aspect of an assignment and pursue general discussions with others on the system or on an approach to solving a problem. You may discuss high-level ideas and thoughts about a homework assignment with your other classmates, but you have to work out all details of any solutions discussed and write up the solution completely on your own. In particular, when working with a student on an assigned homework problem you should do so verbally -- Nothing should be written. This is aimed at keeping your discussion at a high level so everyone can work out the details on their own. Please follow the spirit of this rather than working to finds ways to share details verbally. Also you must clearly acknowledge anyone (except the instructor and TA) with whom you discussed any problem and say briefly what you discussed.

You are not allowed to read, copy, or rewrite the solutions written by others (in this or previous terms). Copying materials from websites, books or other sources is considered equivalent to copying from another student.

Every cheating (for example, copy homework solutions from the web, friends or other textbooks) will be reported to the office of academic integrity. If two people are caught sharing solutions then both the copier and copiee will be held equally responsible. Cheating on an exam will result in failing the course.

It is your responsibility to contact me in a timely manner if there are extenuating circumstances that impact your ability to perform in this class. Your grade is 'not given' by the instructor, but rather is earned by you through demonstrating your mastery of the subject.

Last modified by Jianhua Ruan,   jruan at cs.utsa.edu ,