The goal of this program is for you to learn the intellectual concepts and skills that are essential for advanced work in computer science and beneficial for computing work in support of other disciplines. You will achieve a deeper 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 covers 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.
Program content will be organized around four interwoven themes. The computational organization theme covers concepts and structures of computing systems (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 fourth theme explores society, technology, and ethics.
We will explore these themes throughout the program by way of lectures, programming labs, workshops, and seminars.
8 credits in introductory programming and 4 credits in discrete mathematics. Contact the faculty for more information on these prerequisites. These prerequisites are met by the Evergreen programs Models of Motion (fall & winter) and Introduction to Computer Science (winter).
Course Reference Numbers
Computer Science, Cybersecurity, Data Science, Mathematics Education
|2022-03-16||This program is now open to first year students who meet the required prerequisites|