CSSE 503 - Foundations Structures and Algorithms

Winter 2009

Engr 305, Tuesdays 6:00-8:40pm

 

Instructor: Dr. Roshanak Roshandel

Office Phone: (206) 296-5512

Office: ENGR 507

Office Hours: Tuesdays 5:00-6:00 pm or by appointment

E-mail: roshanak@seattleu.edu

Required Text

·           Introduction to the Design and Analysis of Algorithms (2nd Edition) –Levitin

ISBN-10: 0321358287, ISBN-13: 978-0321358288

Course Description

Basic strategies of algorithm design: top-down design, divide and conquer, average and worst-case complexity, asymptotic costs, simple recurrence relations. Choice of appropriate data structures such as arrays, stacks, queues, trees, heaps, graphs, hash tables, etc. Applications to sorting and searching. Introduction to discrete optimization algorithm: dynamic programming, greedy algorithms.

Schedule (Subject to Change)

Date

Topics

Readings

Assignments

W1 – 1/6/2009

Introduction

Fundamentals of Algorithms and Problem Solving

Overview of Data Structures

Chapter 1

 

W2 – 1/13/2009

Data Structure

Analysis of Algorithm Efficiency

 

Chapter 2 and 3

Assignment 1 due

W3 – 1/20/2009

Brute force

Chapter 3

Assignment 2 due

W4 – 1/27/2009

Divide and Conquer

Chapter 4

Exam 1

W5 – 2/3/2009

Divide and Conquer

Decrease and Conquer

 

Chapter 4 and 5

Assignment 3 due

W6 – 2/10/2009

Decrease and Conquer

 

Chapter 5

 

W7 – 2/17/2009

Transform and conquer

Chapter 6

Programming Assignment 1 due

W8 – 2/24/2009

Transform and conquer

Chapter 6

Exam 2

W9 – 3/3/2009

Space and Time Tradeoffs

Dynamic programming

 

Chapter 7, 8

Assignment 4 due

W10 – 3/10/2009

Greedy algorithms

Algorithm Limitations

Chapter 9, 11

Programming Assignment 2 due

Extra Credit (Assignment 5 due)

3/17/2009

Exam 3

 

Grading Policy

  • Exam 1: 20%
  • Exam 2: 20%
  • Exam 3: 20%
  • Programming Projects: 20%
  • Homework Assignments: 20%

Attendance Policy

You are responsible for the materials covered in class, assignments announced and modified, etc. There will also be quizzes and in-class assignments.

All take-home assignments are due before the start of class on the due date. No late submission will be accepted.

Late submission policy

There is a 10% penalty for late submission of assignments up to 24 hours. Submission after 24 hours will not be graded without prior permission from the instructor.

Class Format

You are expected to review assigned materials in advance of the relevant class (handouts and textbook). There will be several programming and non-programming assignments, some take home assignments (not graded), a few in-class quizzes and assignments, a midterm, an in-class or take home final exam.

You are encouraged to participate in various class activities, ask questions, discuss and test your ideas. You are also highly encouraged to ask questions either during office hours or by email.

Programming Assignments

There will be several programming assignments throughout the quarter. You may choose to solve these problems in either C++ or Java programming language.  No other programming language will be accepted for these assignments.

Academic Integrity

Plagiarism is the unacknowledged use of the work or intellectual property of other persons, published or unpublished, presented as one’s own work. All students are expected to work on all individual assignments independently. Collaboration on individual assignments is considered cheating and will be penalized accordingly. Other examples of behavior that is not tolerated in this class include copying all or part of someone else’s work and submitting it as your own, sharing your assignment solution with other students in the class, consulting with another student during an exam, and copying text from published literature without proper attribution. If you have questions about what is allowed, please discuss it with the instructor. All students are responsible for reading and following the Seattle University Academic Honesty Policy. Students who violate University standards of academic honesty are subject to disciplinary sanctions, including failure in the course and suspension from the University.

 

 

 

 

 

 

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