Bachelor of Arts in Applied Computing

Applied Computing is a multidisciplinary degree that focuses on the application of computing systems in the context of a specific knowledge domain. This degree introduces cutting-edge technologies in various aspects to the application of computer technology, and provides the opportunity for students to build on a minor in a specific subject area. Students in the Applied Computing degree get a broad view of computing by taking a common core of classes that concentrate on computing, software engineering, management, communications, and knowledge of hardware and operation systems. The elective courses serve to create a unique hybrid degree in computing and another field of study that allows a student to concentrate on an application domain.

Students completing the Bachelor of Arts in Applied Computing have the option of completing a minor or cluster of courses related to their topic of interest. With guidance from an advisor, students implement a working knowledge of their computing skills within the context of their field of interests. The first year or two are spent on basic work in writing, mathematics, introduction to fundamental areas of computer science, and taking electives to select a minor or cluster of courses in a domain area. In the third and fourth year students focus on computing/software engineering principles and applications, and begin to incorporate concentration area classes into relevant software applications. The capstone class for Applied Computing students facilitates the conceptualization of a software application in a domain to support a specific industry.


Charles F. Jackels, Ph.D., 1975, University of Washington; physical chemistry


Arnold Berger, Ph.D., 1971, Cornell University; materials science

Frank Cioch, Ph.D., 1985, University of Michigan; computer and communication sciences

William (Bill) W. Erdly, Ph.D., 1991, University of Washington; social/organizational psychology

Munehiro Fukuda, Ph.D., 1997, University of California, Irvine; information and computer science

Charles F. Jackels, Ph.D., 1975, University of Washington; physical chemistry

Alan Leong, M.S.E., 1997, University of Washington; industrial engineering

Clark F. Olson, Ph.D., 1994, University of California Berkeley; computer sciences

John R. Rasmussen, Ph.D., 1972, Dartmouth College; mathematics

Michael David Stiber, Ph.D., 1992, University of California, Los Angeles; computer science

Kelvin Sung, Ph.D., 1992, University of Illinois at Urbana- Champaign; computer science

Carol S. Zander, Ph.D., 1995, Colorado State University; computer science

Adjunct Faculty

Laurie Anderson, Ph.D., 2004, Union Institute and University; cultural ecology

Mark Kochanski, M.S., 1984, Purdue University; economic geology

Nicole Hoover, M.A., 2001 University of California, Davis; mathematics

Admission Requirements

Program Structure

Students entering the AC major Autumn Quarter 2007 and thereafter follow the curriculum outlined below.


CSS Electives (35 credits)

A maximum of 10 credits are allowed at the 200 level, a maximum of 10 credits of 490 (Special Topics) are allowed, and a maximum of 10 credits of combined 498 & 499 are allowed towards the CSS Electives.

Minor Electives (25 credits) or any other non-computing related Major (or approved course of study)

This must be an approved minor, concentration or major from another department or program. Students may also work with CSS faculty and program advisors to develop custom knowledge domain expertise - subject to departmental approval. If student has a baccalaureate degree in another area, this requirement may be waived.

Graduation Requirements