1 - 10 of 206 results for: CS

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.

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

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.

This course will prepare students to interview for software engineering and related internships and full-time positions in industry. Drawing on multiple sources of actual interview questions, students will learn key problem-solving strategies specific to the technical/coding interview. Students will be encouraged to synthesize information they have learned across different courses in the major. Emphasis will be on the oral and combination written-oral modes of communication common in coding interviews, but which are unfamiliar settings for problem solving for many students. Prerequisites: CS 106B or X.

Computers have come to permeate many aspects of our lives, from how we communicate with each other to how we produce and consume information. And while it is all too easy to think of computing in terms of the products and applications we see emerging from technology companies, the intellectual foundations of computer science go much deeper. Indeed, beneath the surface of the tools we use, the social networks we engage in, and the web of information we search lays a field rich with fascinating, intellectually exciting, and sometimes unexpectedly surprising ideas. In this seminar, we will explore several of the great ideas in computer science, looking at both challenging problems and their impact on real applications. From understanding how search engines on the Web work to looking at mathematical theories underlying social networks, from questioning whether a computer can be intelligent to analyzing the notion of what is even possible to compute, this seminar will take us on a series of intellectual excursions that will change the way you look at computers. No prior experience with computer science or programming is required, but a high school mathematics background, an interest in problem-solving, and a healthy curiosity will go a long way toward ensuring an enjoyable and enlightening experience. Students will work in small groups to research topics in computer science they find most intriguing. The course will also take advantage of Stanford's location in the heart of Silicon Valley by conducting field trips to local companies and the Computer History Museum.

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.

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.

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.

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.