The role of computing in a liberal arts
education has undergone a significant evolution during the
last decade. In the early 1980s, the computer was starting
to emerge as a powerful tool that could be applied in widely
diverse areas. The primary need was for highly trained
computer scientists who were capable of building specific
application programs. The average educated person was not
expected to have a knowledge of computing. However, as
computers became more pervasive, society's expectations
grew. By the late 1980s, an educated person was expected to
understand computer basics and how to use existing software
packages.
Today, college graduates are expected to be
able to use increasingly sophisticated software, and are
often expected to be able to tailor that software to their
particular needs. For instance, "uses" of electronic
spreadsheets or a symbolic computing packages, such as Maple
and Mathematica, can range from numeric manipulation, to
development of a network of formulas that calculates and
maintains consistencies between the application data, to
simulations that change dynamically to illustrate changes in
basic assumptions of the simulation.
Many areas of study, such as business,
mathematics, and science have grown to have high
expectations of computing knowledge. Educated people in
these fields are expected to understand more than the
general impact of computation on their discipline. Graduates
are expected to use special programming languages to
construct computer programs that aid in their daily tasks.
Examples include databases and mathematical programming
languages.
The trend towards an increasing need for understanding
computing has also resulted in what can be called "hybrid
professionals". Areas such as biochemistry call for
scientists that understand not only the use of computation
as an aid in performing their tasks, but understand the
implication computation has on changing the approach to
problems in their discipline. For example, the advent of
massively parallel computers has led to significant new
theories on the solution of the human genome sequencing
problem. Graduates in these areas are introduced to the
cross-fertilization between computing and their discipline,
and may pursue further study at the graduate level.
The realization of the pervasive and
multi-faceted role of computing has served as the impetus
for the Computational Science Minor at UW - Eau Claire. We
have designed a truly interdisciplinary program of applied
computation that serves to formalize the ubiquitous role of
computing in higher education, and that provides an
environment that encourages the growth of the program in
order to systematically serve the current and future needs
of nearly all students at the University of Wisconsin - Eau
Claire.