Computer Science Foundations

Winter 2019
Spring 2019
Olympia
Day
Freshman - Senior
Class Size: 75
16 Credits per quarter
Variable credit options, see below
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Taught by

In this program students will learn the intellectual concepts and skills essential for advanced work in computer science and beneficial for computing work in support of other disciplines. This program is introductory, yet rigorous. Students will have the opportunity to achieve a deep understanding of increasingly complex computing systems by acquiring knowledge and skills in mathematical abstraction, problem solving, and the organization and analysis of hardware and software systems. The program will cover material such as algorithms, data structures, computer organization and architecture, logic, discrete mathematics, and programming, in the context of the liberal arts. The program is compatible with the model curriculum developed by the Association for Computing Machinery's Liberal Arts Computer Science Consortium. The program content will be organized around four interwoven themes. The Computational Organization theme covers concepts and structures of computing systems from digital logic to the computer architecture and assembly language supporting high-level languages and operating systems. The Programming theme concentrates on learning how to design and code programs to solve problems. The Mathematical theme helps develop mathematical reasoning, theoretical abstractions, and problem-solving skills needed for computer scientists. A Technology and Society theme explores social, historical, or philosophical topics related to science and technology. We will explore these themes throughout the year through lectures, programming labs, workshops, and seminars. (Richard Weiss will teach winter only, Wan Bae and Sara Rose will teach winter & spring)

Registration

Enrollment Conditions

Signature required.   Students must have completed the equivalent of at least one quarter of computer programming and must demonstrate strong mathematical skills in precalculus or calculus. Contact Richard Weiss at weissr@evergreen.edu with evidence of prior course work that you have taken in computer programming as well as in discrete mathematics or calculus. Note: Options for 4 credits (discrete mathematics) and 12 credits (must include seminar) are available with faculty permission. Contact the faculty for more information.

Prerequisites

High school Algebra II

Winter 2019 Registration

Course Reference Numbers

Fr (16): 20097
So - Sr (16): 20127
Spring 2019 Registration

Signature Required

Students must have completed the equivalent of at least one quarter of computer programming and must demonstrate strong mathematical skills in precalculus or calculus. Contact Richard Weiss at weissr@evergreen.edu with evidence of prior course work that you have taken in computer programming as well as in discrete mathematics or calculus.

Course Reference Numbers

Fr (16): 30104
So - Sr (16): 30105

Academic details

Preparatory For

computer science, STEM education, information technology, data science, and computer security.

Credits
16
Variable Credit Options

Options for 4 credits (Discrete Mathematics) and 12 credits (must include seminar) available with faculty permission. Contact the faculty for more information.

Fields of Study
Maximum Enrollment
75
Online Learning
Enhanced Online Learning - This offering requires access to web-based tools, but use of these tools does not displace any face-to-face instruction.
Class Standing
Freshman
Sophomore
Junior
Senior

Schedule

In Person or Remote
Remote (W)
Remote (S)
Time Offered
Day
Schedule Evergreen link
see Schedule Evergreen for detailed schedule

First Meeting

SEM 2 D1107 - Workshop
Location
Olympia
Revisions
DateRevision 2018-08-14 description updated to reflect faculty teaching per quarter