CS 457 Data Structures and Algorithms I - Syllabus

Term and Credits

Fall 2015-2016
3 Credits

Room and Time

Tuesday, Thursday 12:30pm - 1:50pm
UC 153


Mark Boady
Electronic Mail Address: mwb33@drexel.edu
Office: University Crossings 100A untill construction finishes on UC138
Extention: 215-895-2347
Office Hours: Tuesday 2-5pm, Wednesday 2-3pm

Teaching Assistant(s)

No TA Assigned

Course Description

This course covers techniques for analyzing algorithms, including: elementary combinatorics, recurrence relations, and asymptotic analysis; data structures such as hash tables, red-black trees, B-trees, binomial and Fibonacci heaps, union-find trees; sorting algorithms and elementary graph algorithms.

Course Objective and Goals

  1. Learn to analyze algorithms and data structures
  2. Learn the fundamental algorithms and data strutures
  3. Learn how to adapt these algorithms and data strutures to solve new problems./li>
  4. Learn the importance of finding efficient ways to solve problems.

Audience and Purpose within Plan of Study

This is a track computer science course required by Computer Science students taking the Data Structures and Algorithms Track.

CS260, CS270, Math 221

What Students Should Know Prior to this Course

  1. Students should have advanced experience programming in mutliple languages
  2. Familiarity with basic data structures such as trees, arrays, and graphs.
  3. Familarity with Descrete Mathematics and working with series summations.

What Students will be able to do upon Successfully Completing this Course: Statement of Expected Learning

  1. Students will be able to analyze algorithms.
  2. Students will understand a set of fundamental algorithms and how to apply them.
  3. Students will be able to determine what aglorithms and data structures to use for efficient problem solving.


Introduction to Algorithms, 3rd Edition
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
ISBN-10: 0262033844
ISBN-13: 978-0262033848
See it on Amazon
See it at the Bookstore
Note: If you choose to use the Second Edition, it is your responsibility to ensure all content is the same. Copies of Third Edition are available in the CLC and Library. You WILL NOT get a free pass for answering the wrong questions

Grading and Policies

Final grades will be determined by your total points weighted according to this distribution. Grades may be curved but are generally computed via the formula below. It may be modified at the instructor's sole discretion, but letter grades will generally not be lower than those shown here.

Academic Honesty Policy

The CCI Academic Honesty policy is in effect for this course. Please see the policy at http://drexel.edu/cci/resources/current-students/undergraduate/policies/cs-academic-integrity/ .

Submitting Assignments

Assignments will be submitted to learning.drexel.edu by 11:59PM on the date they are due. Grades will be reported via learning.drexel.edu.

Labs, and assignments, and exams will be returned on a regular basis to provide feedback to students.

Each student has 2 late days they may use at any time during the term. No penalty will be given for assignment submitted using these days. The student MUST email the Professor BEFORE the due date for the assignment and to inform him that a late day is being used.

Once both late days have been used, no additional late assignments will be accepted. Exceptions to this requirement may be given at the Professor's sole discretion.

Late days may be used together, to submit one assignment two days late or seperately to submit two assignments 1 day late each. Students may not break up a late day, for example submiting one assignment 6 hours late and one 18 hours late. Requesting use of a late day gives the student 24 extra hours from the deadline to submit the assignment


  1. Analysis of Algorithms
  2. Sorting Algorithms
  3. Sorted Structures (Heaps, Binary Trees, ...)
  4. Graph Algorithms (DFS, BFS, MST, ...)
  5. String Matching

Tentative Course Schedule

Please see the appropriate assignment, lab, and/or project webpages for a tentative schedule of course deliverables.

Computer/Software HelpiCommons: http://drexel.edu/cci/about/our-facilities/rush-building/iCommons/University PoliciesIn addition to the course policies listed on this syllabus, course assignments or course website, the following University policies are in effect:

Week Topic Reading Assignment
1 Insertion Sort and Analysis Chapters 2-3
Recommended: Appendix A
HW0 Due Sunday Sept 27 11:59pm
HW1 Assigned
2 Mergsort and Quicksort Chapters 4 and 7
3 Heaps and Queues Chapter 6 HW 1 Due Sunday Oct 11 11:59pm
HW 2 Assigned
4 Search Trees and Selection Chapters 12 and 9
5 Red Black Trees Chapter 13 HW2 Due Sunday Oct 25 11:59pm
PA1 Assigned
6 Midterm
7 Introduction to Graphs DFS and BSF Chapter 22 PA1 Due Sunday Nov 8 11:59pm
PA2 Assigned
8 Minimum Spanning Trees Chapter 23
9 String Matching Chapter 32 PA2 Due Sunday Nov 22 11:59pm
HW3 Assigned
10 Amortized Analysis (Thanksgiving) Chapter 17
11 Amortized Analysis
Chapter 32 HW3 Due Sunday Dec 6 11:59pm
12 Final