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1 - 10 of 70 results for: CS

CS 1C: Introduction to Computing at Stanford

For those with limited experience with computers or who want to learn more about Stanford's computing environment. Topics include: computer maintenance and security, computing resources, Internet privacy, and copyright law. One-hour lecture/demonstration in dormitory clusters prepared and administered weekly by the Resident Computer Consultant (RCC). Final project. Not a programming course.
Terms: Aut | Units: 1
Instructors: Smith, S. (PI)

CS 1U: Practical Unix

A practical introduction to using the Unix operating system with a focus on Linux command line skills. Class will consist of video tutorials and weekly hands-on lab sections. The time listed on AXESS is for the first week's logistical meeting only. Topics include: grep and regular expressions, ZSH, Vim and Emacs, basic and advanced GDB features, permissions, working with the file system, revision control, Unix utilities, environment customization, and using Python for shell scripts. Topics may be added, given sufficient interest. Course website: http://cs1u.stanford.edu
Terms: Aut, Win, Spr | Units: 1

CS 2C: Multimedia Production

Sound, image and video editing techniques and applications, including understanding file formats and publishing multimedia online. Topics: GarageBand, Photoshop, iMovie, Final Cut Pro, and iDVD. Weekly lecture followed by lab section. Second unit for additional creative production assignments completed outside of class time and Final Project with group. Not a programming course, but will use computer multimedia applications heavily for editing.
Terms: Aut, Win | Units: 1-2
Instructors: Scott, E. (PI)

CS 21N: Can Machines Know? Can Machines Feel?

Preference to freshmen. Can mental attitudes attributed to people and sometimes to animals, including knowledge, belief, desire, and intention, also be ascribed to machines? Can light sensors have a belief? Can a pool cleaning robot or tax-preparation software have an intention? If not, why not? If yes, what are the rules of such ascription, and do they vary between human beings and machines? Sources include philosophy, neuroscience, computer science, and artificial intelligence. Topics: logic, probability theory, and elements of computation. Students present a paper.
Terms: Aut | Units: 3 | UG Reqs: GER:DB-EngrAppSci
Instructors: Shoham, Y. (PI)

CS 22: History and Philosophy of Artificial Intelligence (SYMSYS 22)

More than most emerging fields, the history of Artificial Intelligence has been characterized by passionate debates. Is it merely clever programming, or an expedition into the fundamental nature of intelligence? Will machines ever be conscious? Will robots assist or enslave us? Can self-driving cars be legally responsible for their actions? This course recounts the history of AI and explores the major controversies through a series of classroom discussions, each in preparation for a lively debate by prominent historical figures and cutting-edge researchers in the field. Open to all undergraduate and graduate students.
Terms: Aut | Units: 2
Instructors: Kaplan, J. (PI)

CS 45N: Computers and Photography: From Capture to Sharing

Preference to freshmen with experience in photography and use of computers. Elements of photography, such as lighting, focus, depth of field, aperture, and composition. How a photographer makes photos available for computer viewing, reliably stores them, organizes them, tags them, searches them, and distributes them online. No programming experience required. Digital SLRs and editing software will be provided to those students who do not wish to use their own.
Terms: Aut | Units: 3-4 | UG Reqs: WAY-CE

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.
Terms: Aut | Units: 3 | UG Reqs: GER:DB-EngrAppSci
Instructors: Dill, D. (PI)

CS 90SI: Code the Change: Learn Web Development Through Nonprofit Projects

Learn web technologies by working on real-world projects with non-profit partners. The class will cover basic topics and provide resources for more advanced learning. Students will work in small teams to implement high-impact projects for non-profit organizations. Recommended prerequisite: CS 106B.
Terms: Aut, Spr | Units: 2
Instructors: Cooper, S. (PI)

CS 99SI: Callback Me Maybe: Contemporary JavaScript

Introduction to the JavaScript programming language with a focus on building contemporary applications. Course consists of in-class activities and programming assignments that challenge students to create functional web apps (e.g. Yelp, Piazza, Instagram). Topics include syntax/semantics, event-based programming, document object model (DOM), application programming interfaces (APIs), asynchronous JavaScript and XML (AJAX), jQuery, Node.js, and Redis. Prerequisite: CS 107.
Terms: Aut, Spr | Units: 2
Instructors: Schwarz, K. (PI)
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