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News
& Announcements |
11/19: HW4 posted. Due date is 12/2 at 1:35pm in class. 11/19:
As mentioned in class, you may earn extra credit on the project. See
the extra credit section on the updated project file on Blackboard. 10/26: Project description has been posted on Blackboard. Note the due dates below. 10/16:
You may pick up your HW2 from the TA on Monday from 12 to 2pm (his new
office hours for THIS WEEK ONLY). I'll then hold office hours from 2 to
4pm (in addition to my regular office hours Tuesday morning). Note: If
you did not receive this announcement on the email during the weekend,
then check your email account. Someone's email account is over-quota. 10/16: Quiz solutions are posted on Blackboard. 10/11: HW3 posted. Due date 10/28 at 1:35pm (submit electronically, and bring a hardcopy to class). 10/4: The schedule is modified. Please note that the midterm will be on 10/19 instead. 9/20: HW2 posted. Due date: 10/5 at 1:35pm (in class). 9/12: I've already sent out a few emails to the class emailing
list (mostly answering questions). If you have not received anything
from me (e.g. if you registered late for the class), please send me an
email. 9/4: Since Monday is a holiday, the TA's office hours will be changed to Tuesday 3-5pm (for this week only). 9/3: HW1 posted. Due date: 9/16 at 1:35pm. Please read through the entire document for submission instructions. |
Course Description This
course covers basics to intermediate knowledge for the design,
implementation, and use of relational database systems. The main topics
include the relational data model, Entity-Relationship (ER) model for
database design, Relational Algebra, SQL, database programming,
functional dependencies and normalization, and indexing. Instructor:
Dr. Jessica Lin
Office: Engineering Building 4419 Phone:
703-993-4693 Email:
jessica [AT] cs [DOT] gmu [DOT] edu Office
Hours:
Tuesday 10am-12pm or by appointment
TA
Yuan Li Email: ylif [AT] gmu [DOT] edu Office Hours: Monday 2-4pm Office: Engineering Building 4456
Classes
Tuesday/Thursday
1:30-2:45pm Art and Design Building 2026 Course Outcomes
- Knowledge of fundamental concepts of file and database management.
- Knowledge of database design principles, and ability to model real-world environments using the ER model.
- Knowledge
of the formal principles of the relational database model and its query
languages, and ability to design relational databases and express
queries in the relational algebra and calculus.
- Knowledge
of the Structured Query Language (SQL) and database programming
principles, and ability to author SQL queries and implement Java
database applications using the Oracle database system.
- Knowledge
of the basic principles of the mathematical theory of database design,
and ability to design databases that adhere to Boyce-Codd Normal Form.
- Experience in the complete database creative process: from database design, to database constuction, to database programming.
Prerequisites:
C or better in CS 310 (Data Structures) and CS 330 (Formal Methods and Models)
Grading
Assignment/Project: 35%
Quiz: 5%
Midterm: 25%
Final: 35%
Exams
Quizzes
will be given in the beginning of the class. They may or may not be
announced in advance. The
lowest quiz grade will be dropped at the end of the semester.
There will be a midterm exam and a final exam covering lectures and
readings (both will be in class, closed book). The final exam
(comprehensive) includes topics covered in the entire semester. Exams
must be taken at the scheduled time and place. Missed exams cannot be
made up.
Honor Code
Statement
Please be
familiar with the GMU Honor Code. Any deviation from this is considered
an Honor Code violation. All assignments for this class are individual
unless otherwise specified. Textbooks
Required: "Database
Management Systems" 3rd Edition, by Ramakrishnan and Gehrke
Recommended: Oracle 10g Programming: A Primer by Sunderraman, Addison-Wesley, 2008
Topics
Ch.1: Overview
of Database Systems
Ch.2: Introduction to Database Design
Ch.3: The Relational Model
Ch.4: Relational Algebra
Ch.5: SQL
Ch.8: Storage and Indexing
Ch.9:Storing
Data: Disks and Files
Ch.10: Tree-Structured Indexing
Ch.11:
Hash-Based Indexing
Ch.19: Schema Refinement and Normal Forms
Ch.26:
Data Mining
Note: If time permits, more
chapters will be added.
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Tentative
Schedule
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