Data Structures and Algorithms

Quarters
Fall Open
Location
Olympia
Class Standing
Sophomore
Junior
Senior
Richard Weiss
Paul Pham

Data Structures and Algorithms is a 12-credit upper division applied Computer Science program that is necessary for doing any additional advanced work in computer science and software engineering. Students will concentrate on:

  • Data Structures and Algorithms;
  • Team programming projects 
  • Software Engineering
  • Computer Systems and Parallel and Distributed Computing

As computer science students, you will gain the technical knowledge and skills required to understand, analyze, modify, and build complex software systems. The concepts and skills from Data Structures and Algorithms are key for software engineering and programming. Through this program you will deepen your understanding of computing systems, both in theory and practice. The work will provide prerequisite knowledge for Evergreen's advanced computer science programs. 

Working on team projects is very important for almost any job in computer science. Also, at Evergreen we expect students to take charge of their learning. We make this easier by providing a caring and safe innovative team environment. This is ideal for those looking for a practical, hands-on approach to learning. This radically different pathway gives students the opportunity to set-up and run their own projects and ventures. Inspired by the pioneering Finnish ‘Tiimiakatemia’ approach, we designed this program collaboratively with the Evergreen Changemaker Lab, which was the first to introduce this approach in the United States. The Evergreen Changemaker Lab is accredited by Tiimiakatemia Global®.

You will work on real projects and learn the programming, software engineering, and theoretical  skills needed for those projects. You will gain entrepreneurial experience and learn how to operate and run an organization as a Holacratic structure. You will have the opportunity to create and manage projects around your passions, attend directors' meetings. You will about creating a professional network and how to do a coding interview.

You will learn by doing and specifically develop the following job skills: software engineering, data structure design and analysis, self‐leadership skills, project leadership skills, planning skills, strategic skills, team leadership skills, Data processing and IT –skills, team learning skills, creativity skills, international skills and communication skills and courage to make choices and goal orientation.

This full-time daytime program will be taught on the Olympia campus. Students who need to participate fully remotely should contact the faculty to discuss that option.

Anticipated Credit Equivalencies:

4 - Data Structures and Algorithms

4 - Software Engineering

4 - Team Programming Project

Registration

Students are expected to have had coursework in discrete math, computer systems, and one year of computer programming. These prerequisites are covered by completion of Computer Science Foundations or equivalent courses elsewhere. Please contact faculty if you have some but not all of the prerequisites to see if there are parts of the program you can take, or if you are unsure if you meet the prerequisites.

Course Reference Numbers

So - Sr (12): 10026

Academic Details

Studies or careers in software development, research and development

12
41
Sophomore
Junior
Senior

Up to 12 upper division science credits in data structures, algorithms, parallel and distributed computing, and seminar will be awarded to students who successfully complete the program requirements.

Schedule

Fall
2024
Open
Hybrid (F)

See definition of Hybrid, Remote, and In-Person instruction

Day
Schedule Details
Evans Hall 2617 - Windows / Linux Lab
Olympia