CMSC 341 Data Structures Spring 2009
Section 0101 (Tue/Thu 10:00 - 11:15am, ACIV145)
Mr. Ryan Bergeron
Office: ITE 215
Office hours: Tue/Thu 11:15 - 12:15 or by appointment
Course Description
Data Structures are the paramount concern of this course. The principle
objective of the course is to help you learn how to design and analyze
a wide range of data structures.
The course covers data structures and associated algorithms.
Relationships among data structures, their utility in various
situations, and factors affecting their performance in algorithms will be considered. You will learn to analyze
the demands of algorithms, how to choose appropriate data structures,
and how to integrate data structures into algorithms.
Textbooks
Required: Data Structures and Algorithm Analysis in Java,
2rd Edition, by Mark Alan Weiss, Addison-Wesley, ISBN 0-321-37013-9
Recommended:
- Your favorite Java reference book -- here are some of mine
- Java in a Nutshell, 5th Edition by David Flanagan,
O'Reilly, 2005, ISBN 0-596-00773-6
- Thinking in Java, edition by Bruce Eckel, Prentice-Hall PTR, 2006, ISBN 0-131-87248-6. Available online at http://www.codeguru.com/java/tij/tij_c.shtml.
- Head First Java, Second Edition by Kathy Sierra and Bert Bates,
O'Reilly, 2005, ISBN 0-596-00920-8
- Data structures and algorithms with object-oriented design patterns in Java by Bruno Preiss, Wiley, 1999.
- Data Structures and Algorithm Analysis by Clifford
Shaffer,
Prentice-Hall, 1996. This book has good coverage of data structures and
algorithm
analysis in C++. It has excellent descriptions of a number of data
structures.
- Data Structures, Algorithms, and Applications in Java by
Sartaj Sahni, McGraw-Hill, 1998.
- Data Structures and Algorithms by Alfred Aho, John
Hopcroft, and Jeffrey Ullman, Addison-Wesley, 1983. This is one of the
all-time classics, written in Pascal.
- Fundamentals of Data Structures in C++ by Ellis Horowitz, Sartaj
Sahni, and Dinesh Mehta, 2006. Update of another classic.
- Abstract Data Types by Nell Dale and Henry Walker, D.C.
Heath and Company, 1996. A high-level view of data structures and
algorithms,
with no programming language specified. A very worthwhile and modern
text with an alternative viewpoint.
Prerequisites
We will assume that you have mastered the material from
CMSC 201,
CMSC 202,
and CMSC 203.
We will not review material that has been covered in the prerequisite courses.
We do cover a few of the concepts from CMSC 202, but from a deeper
point-of-view. Since Java has not been covered in the prerequisite courses,
for this semester we will assume no prior knowledge of Java.
Grading
Your grade for this course will be based on
5 programming projects, 2 in-class exams and the final exam.
Each programming project is 8% of your grade, each exam is 20%
of your grade.
Note that the due dates for the projects and the
dates of the exams are already set (q.v., the syllabus and project
policy handout). Please plan your schedules accordingly. Makeup exams will be given
only under the most dire circumstances (almost never). Project regrades must be requested within a week of a returned grade.
Your final letter grade is based on the standard formula:
0 <= F < 60, 60 <= D < 70, 70 <= C < 80,
80 <= B < 90, 90 <= A <= 100
These levels may be adjusted slightly in your favor, but grades will
not be ``curved'' in the conventional sense.
Your grade is given for timely work done during the semester;
incomplete grades will only be given for medical illness or other such
dire circumstances.
Attendance and Readings
You are expected to attend all lectures. You are responsible for all
material covered in the lecture, even if it is not in the textbook. You
should keep up with the assigned readings during the semester. Some
reading material will be distributed through the course web page. You
are responsible for the material in the readings, even if it is not
covered during lecture.
You must study to do well in this course. It will not be enough to
attend lectures and do the homework. As advanced undergraduates, you
will be responsible for learning material that is not necessarily
covered in lectures. A prime learning requirement is that you
contribute to class discussions and raise questions about the course
material.
Contacting Me or the TAs
Please feel free to visit me or the TAs during our office hours. If you
can't make it during the regular hours, please ask for an appointment.
We will do everything we can to be available to provide help with this
course. Office hours, phone numbers and other
contact information is
available on-line. If you need to contact any of the course staff
outside of lecture and office hours, email is much better than the
telephone. You should, however, observe the following etiquette:
- Please do not email program code. If you want me or the TA to
help you debug your code submit the code in the usual way, and then
send email about the problem. We will look at the submitted code. Please,
do NOT
mail code to me or to the TA!
- Note that the Help Center does not offer help with code for this
course.
- Please use your your UMBC account to send mail. This will remove
any ambiguity about who you are.
- Include a meaningful subject line, something like "CMSC 341
Project 2 question."
Academic Integrity
Cheating in any form will not be tolerated. Instances of cheating will
be reported to the UMBC Academic Conduct Committee. These reports are
filed by the Committee and can be used for disciplinary action such as
a permanent record on your transcript. Academic honesty is absolutely
required of you. You are expected to be honest yourself and to report
any cases of dishonesty you see among other students in this class.
Reports of dishonest behavior will be kept anonymous.
Further details on honesty in doing projects for this course are
on-line at the
Project
Policy link.
Students are welcome and encouraged to study together for exams, but
examinations are to be your own work -- not your neighbor's and not
your notes. All exams are closed-book, closed-notes. Only pencils (or
pens) and erasers are permitted in the exam room unless otherwise
indicated. Scratch paper is provided to you, as needed. Having any
other materials in your possession during an exam will be taken as
evidence of cheating and dealt with accordingly.
Class Schedule
Class |
Date
|
Topic
|
Reading
|
1
| Tue Jan 27
| Introduction and Java
| MAW 1
|
2
| Thu Jan 29
| Java and OOP
| MAW 1; tutorial
|
| Fri Jan 30
| Project 1 Assigned
|
|
3
| Tue Feb 3
| Java and OOP
| MAW 1; tutorial
|
4
| Thu Feb 5
| Asymptotic Analysis
| MAW 2
|
5
| Tue Feb 10
| Asymptotic Analysis
| MAW 2
|
6
| Thu Feb 12
| List ADT and Implementations
| MAW 3
|
| Fri Feb 13
| Project 1 Due
|
|
7
| Tue Feb 17
| Stacks and Queues
| MAW 3
|
8
| Thu Feb 19
| Exam 1
| Classes 1 - 7
|
| Fri Feb 20
| Project 2 Assigned
|
|
9
| Tue Feb 24
| Introduction to Trees
| MAW 4.1 & 4.2
|
12
| Thu Feb 26
| Binary Search Trees
| MAW 4.3
|
13
| Tue Mar 3
| Binary Search Trees
| MAW 4.3
|
14
| Thu Mar 5
| Splay Trees
| MAW 4.5-6, 11.5
|
| Fri March 6
| Project 2 Due
|
|
15
| Tue Mar 10
| K-D Trees
| MAW 12.6
|
16
| Thu Mar 12
| Red-Black Trees
| MAW 12.2 + notes
|
| Tue Mar 17
| Spring Break
| |
| Thu Mar 19
| Spring Break
|
|
| Fri Mar 20
| Project 3 Assigned
|
|
17
| Tue Mar 24
| Red-Black Trees
| MAW 12.2 + notes
|
18
| Thu Mar 26
| B-Trees
| MAW 4.7
|
19
| Tue Mar 31
| B-Trees
| MAW 4.7
|
20
| Thu Apr 2
| Hashing
| MAW 5
|
| Fri Apr 3
| Project 3 Due
|
|
21
| Tue Apr 7
| Exam 2
| Classes 9 - 19
|
22
| Thu Apr 9
| Hashing
| MAW 5
|
| Fri Apr 10
| Project 4 Assigned
|
|
23
| Tue Apr 14
| Priority Queues and Heaps
| MAW 6
|
24
| Thu Apr 16
| Priority Queues and Heaps
| MAW 6
|
25
| Tue Apr 21
| Skip Lists
| MAW 10.4.2 + notes
|
26
| Thu Apr 23
| Disjoint Sets
| MAW 8
|
| Fri Apr 24
| Project 4 Due
|
|
27
| Tue Apr 28
| Graphs
| MAW 9.1, 9.3 + notes
|
| Wed Apr 29
| Project 5 Assigned
|
|
28
| Thu Apr 30
| Graphs
| MAW 9.1, 9.3 + notes
|
29
| Tue May 5
| Special Topics
|
|
30
| Thu May 7
| Special Topics
|
|
31
| Tue May 12
| Review
|
|
| Wed May 13
| Project 5 Due
|
|
| TBA
|
Final Exam
| Classes 20 - 29
|
- Dates and topics are subject to change as required by class
progress
- MAW = Weiss text "Data Structures & Algorithm Analysis
in Java"
Course Web Page
A few handouts will be provided in paper form at the first class. After
that, all handouts will be provided only on the web. The course web
page URL
is
www.cs.umbc.edu/courses/undergraduate/341/spring09/index.shtml
Please check the web page frequently. Any changes to the page will be
mentioned in the "Latest News" link.
Last modified on Tuesday Jan 20, 2009 by Ryan Bergeron
email: rberge1 AT umbc.edu
Back up to Spring 2009 CMSC-341 Homepage