printer friendly pageCS 51: CS + Social Good Studio: Building Social Impact Projects for Change
Get real-world experience launching and developing your own social impact projects! Students will work in small teams to develop high-impact projects around problem domains provided by partner organizations, under the guidance and support of design/technical coaches from industry and nonprofit domain experts. The class aims to provide an outlet, along with the resources, for students to create social change through CS, while providing students with experience engaging in the full product development cycle on real-world projects. Prerequisite:
CS 147, equivalent experience, or consent of instructors.
Terms: Win
| Units: 2
CS 52: CS + Social Good: Implementing Sustainable Social Impact Projects
Continuation of
CS51 (Building Social Impact Projects for Change). Teams enter the quarter having completed and tested a minimal viable product (MVP) with a well-defined target user, and a community partner. Students will learn to apply scalable technical frameworks, methods to measure social impact, tools for deployment, user acquisition techniques and growth/exit strategies. The purpose of the class is to facilitate students to build a sustainable infrastructure around their product idea. CS52 will host mentors, guest speakers and industry experts for various workshops and coaching-sessions. The class culminates in a showcase where students share their projects with stakeholders and the public. Prerequisite:
CS 51, or consent of instructor.
Terms: Spr
| Units: 2
Instructors:
Cain, J. (PI)
CS 54N: Great Ideas in Computer Science
Stanford Introductory Seminar. Preference to freshmen. Covers the intellectual tradition of computer science emphasizing ideas that reflect the most important milestones in the history of the discipline. No prior experience with programming is assumed. Topics include programming and problem solving; implementing computation in hardware; algorithmic efficiency; the theoretical limits of computation; cryptography and security; and the philosophy behind artificial intelligence.
Terms: Aut
| Units: 3
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Roberts, E. (PI)
CS 74N: Digital Dilemmas
Preference to freshmen. Issues where policy decision making requires understanding computer and communications technology. Technology basics taught in non-technology terms. Topics include consumer privacy, government surveillance, file sharing and intellectual property, and electronic voting.
Last offered: Autumn 2013
| UG Reqs: GER:DB-EngrAppSci
CS 82: Social Impacts of Media Innovation
Media innovation merges technical and cultural development and benefits diverse social groups in different ways. Considering historic media innovations such as cinema, hip-hop, and the works of innovator in residence Paul D. Miller aka DJ Spooky, the course focuses on what ideas benefit whom. Lectures and workshops underscore the need to innovate to survive and get heard, and offer know-how for radical innovation in the arts and entertainment industry. Course projects will be considered for inclusion in the Stanford Humanities Showcase. Open to both undergraduate and graduate students.
Terms: Spr
| Units: 1
Instructors:
Agrawala, M. (PI)
;
Niemeyer, G. (PI)
CS 95SI: Functional Programming in Clojure
Clojure is a dialect of Lisp that runs on the JVM, CLR, or Javascript engine. This course explores the fundamentals and philosophy of Clojure, with emphasis on the benefits of immutability and functional programming that make it such a powerful and fun language. Topics include: immutability, functional programming (function composition, higher order functions), concurrency (atoms, promises, futures, actors, Software Transactional Memory, etc), LISP (REPL-driven development, homoiconicity, macros), and interop (between Clojure code and code native to the host VM). The course also explores design paradigms and looks at the differences between functional programing and object-oriented programing, as well as bottom-up versus top-down design.
Terms: Aut
| Units: 2
Instructors:
Cain, J. (PI)
CS 96SI: Mobilizing Healthcare - iOS Development for Mobile Health
How can mobile technology can be leveraged to tackle pressing problems in healthcare? Our class will feature guest lecturers from Verily (formerly Google Life Sciences), Apple Health, and mobile health companies in developing countries and in the Bay Area. This class will give an overview of the fundamentals and contemporary usage of iOS development with a Mobile Health focus. Primary focus on developing best practices for Apple HealthKit and ResearchKit among other tools for iOS application development. Students will complete a project in the mobile health space sponsored and advised by professionals and student TAs. Recommended: CS193P or iOS development at a similar level. Apply at
https://enrollcs96si.typeform.com/to/FGGHVl by Sept 30.
Terms: Aut
| Units: 2
Instructors:
Landay, J. (PI)
CS 101: Introduction to Computing Principles
Introduces the essential ideas of computing: data representation, algorithms, programming "code", computer hardware, networking, security, and social issues. Students learn how computers work and what they can do through hands-on exercises. In particular, students will see the capabilities and weaknesses of computer systems so they are not mysterious or intimidating. Course features many small programming exercises, although no prior programming experience is assumed or required. CS101 is not a complete programming course such as
CS106A. CS101 is effectively an alternative to
CS105. A laptop computer is recommended for the in-class exercises.
Terms: Spr
| Units: 3-5
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Parlante, N. (PI)
CS 102: Big Data: Tools and Techniques, Discoveries and Pitfalls
Aimed primarily at students who may not major in CS but want to learn about big data and apply that knowledge in their areas of study. Many of the world's biggest discoveries and decisions in science, technology, business, medicine, politics, and society as a whole, are now being made on the basis of analyzing massive data sets, but it is surprisingly easy to come to false conclusions from data analysis alone, and privacy of data connected to individuals can be a major concern. This course provides a broad introduction to big data: historical context and case studies; privacy issues; data analysis techniques including databases, data mining, and machine learning; sampling and statistical significance; data analysis tools including spreadsheets, SQL, Python, R; data visualization techniques and tools. Tools and techniques are hands-on but at a cursory level, providing a basis for future exploration and application. Prerequisites: high school AP computer science,
CS106A, or other equivalent programming experience; comfort with statistics and spreadsheets helpful but not required.
Terms: Spr
| Units: 3-4
| UG Reqs: WAY-AQR
Instructors:
Chan, E. (PI)
;
Wang, L. (PI)
CS 103: Mathematical Foundations of Computing
Mathematical foundations required for computer science, including propositional predicate logic, induction, sets, functions, and relations. Formal language theory, including regular expressions, grammars, finite automata, Turing machines, and NP-completeness. Mathematical rigor, proof techniques, and applications. Prerequisite: 106A or equivalent.
Terms: Aut, Spr
| Units: 3-5
| UG Reqs: GER:DB-Math, WAY-FR
Instructors:
Schwarz, K. (PI)
;
Ahmed, D. (TA)
;
Desai, S. (TA)
;
Frank-Fischer, L. (TA)
;
Gibbons, K. (TA)
;
Huang, J. (TA)
;
Jeje, K. (TA)
;
Maduabum, M. (TA)
;
McDowell, B. (TA)
;
Meister, M. (TA)
;
Naik, J. (TA)
;
Palamuttam, R. (TA)
;
Rottman-Yang, S. (TA)
;
Saplitski, A. (TA)
;
Tang, R. (TA)
;
Wang, K. (TA)
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