You must log into
Blackboard.com
at least 2 times each
week to get announcements, to read weekly lecture slides,
to complete online assignments,
and to participate in required weekly class activities.
Activities (including group email discussions)
must be carried out online within your
assigned discussion group at
https://gmu.blackboard.com/.
Group membership will be decided early in the semester,
based upon class interests and individual choices.
Group Discussion Groups will be created in
Blackboard.com
only after your topics and group members are selected (by you!).
**PLEASE NOTE: Instructors may submit Term Papers
to the TurnItIn.com
plagiarism-detection service, in compliance with GMU policy, Provost approval,
and the
GMU Honor Code.
Lecture Day/Time:This course is taught entirely online.
Class participation is asynchronous. You must participate in all
assigned weekly class activities and complete
the assignments during the week that they are assigned, but
you may complete your activities at any time that you choose
during that week.
Study of database support for scientific data management. Covers requirements
and properties of scientific databases, data models for statistical and
scientific databases, semantic and object-oriented modeling of application
domains, statistical database query languages and query optimization,
advanced logic query languages, and case studies such as
the human genome project and Earth-orbiting satellites.
Prerequisites:
For non-COS students only :
INFS 614
(Database Management), or equivalent, or permission of instructor.
Grading:
20% =
Homework and Class Participation
20% =
Research Project Team Paper (including peer evaluation)
(see NOTE above regarding TurnItIn.com).
20% =
Research Project Team Presentation (including peer evaluation)
40% =
Final Exam
Course Objectives:
to analyze database
and data management concepts and technologies that benefit scientific research;
to become familiar with a variety of large scientific database projects
–
goals & implementation;
to become capable in using
database and data management techniques to solve scientific problems; and
to acquire knowledge in database and data management
techniques that will enable the student to progress to more advanced courses,
research projects, and employment opportunities that require database skills
and science data management capability.
