Special topics in computer science not offered on a regular basis.

Prerequisite: Computer Science 222, Computer Science 274, Computer Science 275.

1 unit — Burge, Koo, Scott, Wellman, Whitehead

Featured Offering

Web Programming

Block 8, Apr. 2021
Instructor: Janet Burge

In this class, we will learn Ruby on Rails while following best practices for Agile Software Development, including Behavior Driven Design, and Test Driven Development. The class will end with a project where everyone will work in teams to demonstrate what they’ve learned by building a web application from scratch.

Much of the software we use today is accessed via the web rather than being installed on our computers. This is known as Software as a Service (SaaS). There are many frameworks that support SaaS and one of the most popular is Ruby on Rails.

Web Programming: Design, Development, & Testing

Oct. 2016
Instructor: Janet Burge

Web Programming:Design, Development, & Testing explores Software as a Service (SaaS), meaning software is accessed via the web rather than being installed on our computers. Students will learn how the navigate the framework, Ruby on Rails while following best practices for Agile Software Development, including Behavior Driven Design, and Test Driven Development.

Much of the software we use today is accessed via the web rather than being installed on our computers. This is known as Software as a Service (SaaS). There are many frameworks that support SaaS and one of the most popular is Ruby on Rails. In this class, we will learn Ruby on Rails while following best practices for Agile Software Development, including Behavior Driven Design, and Test Driven Development.

Topics in Computer Science: Machine Learning

Apr. 2013
Instructor: Matthew Whitehead

An investigation into the computer.

In Topics in Computer Science: Machine Learning, students will think about how computers can be programmed to learn and improve from past experiences. Allowing students to build complex systems that are flexible and superior to rigid, hand-crafted programs, the class will learn algorithms and work on a variety of projects including: programs that automatically write other programs themselves, vision processing programs for steering a robotic car along a trail, board game-playing programs that improve by playing hundreds of thousands of games against themselves, and a program to generate natural language text.

Offerings