Instructors may submit Exam Papers, Homework solutions,
or any other student assignment to either
or the SafeAssign
plagiarism-detection services, in compliance with all of the following:
GMU policy, Provost approval, and the
GMU Honor Code.
Online Course Material:
This course is taught entirely online. There will
be assignments, activities, and discussion topics
each week! Please log into
at least two times
each week to participate in the required weekly activities,
to get announcements, to read weekly lecture slides,
to view any videos from the instructor,
and to complete your online assignments.
The class week will begin on Wednesday mornings,
and will conclude on Tuesday evenings. Assignments for
a given week must be submitted within that week's time window,
unless prior arrangements have been made with the instructor.
Activities (including group email discussions)
must be documented online within your
assigned discussion group at
Group membership will be decided early in the semester,
based upon class interests and individual choices.
Group Discussion Groups will be created in
only after your topics and group members are selected (by you!).
Lecture Day/Time:NO SPECIFIC TIME
-- This is an asynchronous
distance education course, taught entirely online.
*Asynchronous* means that you may complete your weekly 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.
For non-COS students only :
INFS 614 (Database Management), or equivalent, or permission of instructor.
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.