Code Collab
This is a two-day Makerspace lesson in which students work in teams to create JavaScript apps using snippets of code. Using a custom-designed app, each student will be given random snippets of code to choose from.
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This is a two-day Makerspace lesson in which students work in teams to create JavaScript apps using snippets of code. Using a custom-designed app, each student will be given random snippets of code to choose from.
Computer Science Hot Digital Assets Management! is a curated and searchable database of current digital media resources (websites, podcasts, videos) for learning and teaching Computer Science. It can be used by students and CS teachers alike, both emerging and experienced.
The Importance of Building Interfaces is a short (approx 4 days) mini unit that emphasizes why it is valuable and necessary to establish interfaces to be used in larger programming projects.
At FX Palo Alto Laboratory, research projects are shared among researchers using the Git and GitHub collaboration tools. GitHub and Git are essential technologies for sharing coding with other programmers.
This lesson shows students how to add dynamic content to their web applications using XML and XQuery. Students will build on their prior knowledge of SQL and the python http-client from previous lessons to create XML documents, generate schema, and access that data without a database.
In this student project, students are given a research experience designed to closely mimic those in academia or industry. Their research task is to use smartphone sensors to develop the core algorithm for an accurate, reliable pedometer app which counts a user’s steps.
The goal of this ETP is to introduce students to computer programming in MATLAB that is heavily used in scientific and engineering research, especially in a university research facility like Stanford.
The goal of this ETP is to engage students in an engineering experience much like the engineers at Synopsys go through.
Students will develop their own algorithms for sorting and determine the complexity of the algorithm and how it scales as the number of items to sort increases.
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