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Program
Overview
Degrees
Research
Facilities
Facilities
The Computer Science
Program has moved into its new home in the Gabrielle
H. Reem and Herbert J. Kayden Center for Science and
Computation. The Center houses the Biology and Computer Science
and Programs. The main floor of the new Center has three large,
self-contained "smart" classrooms, an auditorium, capable
of seating 80, and labs lining the entire western side of the
building, framed by glass walls that overlook woods leading down a
slope to Annandale Road. Faculty offices are found on the second floor.
The Center greatly expands laboratory and teaching
space,
including:
- A new computer
teaching laboratory that enables
integrated
hands-on
computing within the context of classroom instruction.
- A Hardware
Teaching Lab for instruction in computer
hardware and
robotics.
- A Hardware
Research Lab.
- A Cognitive
Systems Lab
devoted to cognitive modeling, machine learning and human-computer
interaction.
- Ad-hoc study space with whiteboards, wireless
networking, and
network jacks.
- Proximity to computer science faculty and the systems
administrator on the second floor.
- A dedicated computer server room.
- 24-hour access via a card-reader security system.
COMPUTING
Our systems are served by a Dell Poweredge 1550 running Linux
and 2 Xserve G5s with Dual 2.3 GHz processors and 4.5 GB RAM. The
Program also maintains a number of PCs that run Red Hat Linux.
A gigabit fiber-optic backbone network and 100Mb switched Ethernet
link the College's various facilities and provide students and
faculty with unlimited access to the Internet, e-mail, and the World
Wide Web. Wireless networking zones (WiFi "hotspots") are located in
the Bertelsmann Campus Center and Stevenson Library.
The Laboratory for Intelligent Data Systems, managed by
Professor
McGrail, is housed in Rose Hall 113.
Bard has site licenses for a number of software packages
of
particular
use for computer science and mathematics students, including
Mathematica (a very powerful tool for solving a broad range of
mathematical problems), SPSS (for statistics), and PCTeX (a friendly
implementation of TeX (for typesetting papers).
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