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1 - 4 of 4 results for: CS110

CS 110: Principles of Computer Systems

Principles and practice of engineering of computer software and hardware systems. Topics include: techniques for controlling complexity; strong modularity using client-server design, virtual memory, and threads; networks; atomicity and coordination of parallel activities. Prerequisite: 107.
Terms: Aut, Win, Spr | Units: 3-5 | UG Reqs: GER:DB-EngrAppSci

CS 251: Cryptocurrencies and blockchain technologies

For advanced undergraduates and for graduate students. The potential applications for Bitcoin-like technologies is enormous. The course will cover the technical aspects of cryptocurrencies, blockchain technologies, and distributed consensus. Students will learn how these systems work and how to engineer secure software that interacts with the Bitcoin network and other cryptocurrencies. Prerequisite: CS110. Recommended: CS255.
Terms: Aut | Units: 3

CS 342: Building for Digital Health (MED 253)

This project-based course will provide a comprehensive overview of key requirements in the design and full-stack implementation of a digital health research application. Several pre-vetted and approved projects from the Stanford School of Medicine will be available for students to select from and build. Student teams learn about all necessary approval processes to deploy a digital health solution (data privacy clearance/I RB approval, etc.) and be guided in the development of front-end and back-end infrastructure using best practices. The final project will be the presentation and deployment of a fully approved digital health research application. CS106A, CS106B, Recommended: CS193P/A, CS142, CS47, CS110. Limited enrollment for this course. Students need to submit their application online via: https://docs.google.com/forms/d/e/1FAIpQLSfENFanSf9TL8fvCS9RSLOQ90g_NF2_lETx3pQ8Y8BjxToR7g/viewform
Terms: Aut | Units: 3
Instructors: Aalami, O. (PI)

MED 253: Building for Digital Health (CS 342)

This project-based course will provide a comprehensive overview of key requirements in the design and full-stack implementation of a digital health research application. Several pre-vetted and approved projects from the Stanford School of Medicine will be available for students to select from and build. Student teams learn about all necessary approval processes to deploy a digital health solution (data privacy clearance/I RB approval, etc.) and be guided in the development of front-end and back-end infrastructure using best practices. The final project will be the presentation and deployment of a fully approved digital health research application. CS106A, CS106B, Recommended: CS193P/A, CS142, CS47, CS110. Limited enrollment for this course. Students need to submit their application online via: https://docs.google.com/forms/d/e/1FAIpQLSfENFanSf9TL8fvCS9RSLOQ90g_NF2_lETx3pQ8Y8BjxToR7g/viewform
Terms: Aut | Units: 3
Instructors: Aalami, O. (PI)
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