Advanced Semantic WebProfessors: Deborah L. McGuinnessTopics: Semantic Foundations Description:
This course aims at showing the cutting edge research on
semantic web and encouraging research capability for advanced
students. Students attending this course should expect reading,
presenting and evaluating important research papers on semantic
web, identifying and surveying interesting semantic web research
areas.
|
DataScienceProfessors: Peter FoxTopics: eScience Description:
This course combines aspects of data management, library
science, computer science, and physical science using supporting
cyberinfrastructure and information technology. It aims to
provide formal education and training in the key cognitive and
skill areas to enable graduates to become key participants in
escience collaborations.
Goals:
To instruct future scientist how to sustainably generate/
collect and use data for their research as well as for others.
Participants will learn and be evaluated on the full life-cycle
of data and relevant methods, technologies and best practices.
|
Emerging Trends in Semantic TechnologyProfessors: Deborah L. McGuinnessTopics: Semantic eScience, Semantic Foundations Description:
This course will discuss emerging trends in semantic technologies.
This is a seminar course, not a lecture course. We will have many
presentations and discussions throughout the course that help you
to understand, conduct, and evaluate academic research while we
discuss the emerging trends in semantic technologies.
Goals:
|
GIScienceProfessors: Peter FoxTopics: eScience Description:
Introduction to relational analysis and interpretation of
spatial data and their presentation on maps (using MapInfo
software). Geographic spatial data concepts covered are map
projections, reference frames, multivariate analysis,
correlation analysis, regression, interpolation, exptrapolation,
and kriging. Database concepts of building and manipulating a
spatial database, SQL, spatial queries, and integration of
graphic and tabular data are covered. During each class we will
discuss topics and do examples. Related take-home exercises will
be assigned. Students will occasionally be asked to present
their weekly assignment to the rest of the class. Each student
will do a semester-long project on some topic of particular
interest to them, but also of relevance to the class. These
projects will be presented to the class at the last meeting. 4
credit hours.
Goals:
|
Semantic eScienceProfessors: Deborah L. McGuinnessTopics: eScience Description:
As semantic technologies have been gaining momentum in various
e-Science areas, it is important to offer semantic-based
methodologies, tools, middleware to facilitate scientific
knowledge modeling, logical-based hypothesis checking, semantic
data integration and application composition, integrated
knowledge discovery and data analyzing for different e-Science
applications.
Goals:
To fill the gaps that are currently present in the integrative
nature of informatics for the translation of science into
requirements for the underlying and largely syntactic
e-infrastructure.
|
Web ScienceProfessors: Jim HendlerTopics: Semantic Web Description:
Since its inception the World Wide Web has changed the ways
people work, play, communicate, collaborate, and educate. There
is, however, a growing realization among researchers across a
number of disciplines that without fundamental understanding of
the current, evolving and potential Web, we may be missing or
delaying opportunities for new and revolutionary capabilities.
Goals:
This course attempts to provide the foundations of that
understanding, exploring the fundamentals of the World Wide
Web's function including the HTTP protocol, key algorithms that
make the Web function, future trends, and social issues with
respect to Web use and effect.
|
XinformaticsProfessors: Peter FoxTopics: eScience Description:
Xinformatics is intended to provide both the common
informatics knowledge as well as how it is implemented in
specific disciplines. The theoretical basis arises from
information science, cognitive science, social science,
library science as well as computer science, aggregating
these studies and adds both the practice of information
processing, and the engineering of information systems.
Goals:
This course will introduce informatics, each of its components
and ground the material that students will learn in discipline
areas by coursework and project assignments.
|