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1 - 10 of 76 results for: CS

CS 9: Problem-Solving for the CS Technical Interview

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.
Terms: Aut, Win | Units: 1 | Grading: Satisfactory/No Credit

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 | Grading: Satisfactory/No Credit
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, Spr | Units: 1 | Grading: Satisfactory/No Credit

CS 27: Literature and Social Online Learning (COMPLIT 239B, ENGLISH 239B)

Study, develop, and test new digital methods, games, apps, interactive social media uses to innovate how the humanities can engage and educate students and the public today. Exploring well-known literary texts, digital storytelling forms and literary communities online, students work individually and in interdisciplinary teams to develop innovative projects aimed at bringing literature to life. Tasks include literary role-plays on Twitter; researching existing digital pedagogy and literary projects, games, and apps; reading and coding challenges; collaborative social events mediated by new technology. Minimal prerequisites which vary for students in CS and the humanities; please check with instructors.
Terms: Aut | Units: 3-5 | UG Reqs: WAY-A-II | Grading: Letter or Credit/No Credit

CS 2C: Introduction to Media Production

Sound, image and video editing techniques and applications, including understanding file formats and publishing multimedia online. Topics include GarageBand, Photoshop, iMovie, and production best practices. 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, Spr | Units: 1-2 | Grading: Satisfactory/No Credit
Instructors: Scott, E. (PI)

CS 42: 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 MongoDB. Prerequisite: CS 107.
Terms: Aut, Spr | Units: 2 | Grading: Satisfactory/No Credit

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 | Grading: Letter or Credit/No Credit

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 | Grading: Letter or Credit/No Credit
Instructors: Roberts, E. (PI)

CS 91SI: Digital Canvas: Intro to Visual Design on the Web

Introduction to visual design concepts with a focus on modern interfaces like web, mobile and app. Topics include visual design elements and principles such as color theory, layout and composition, typography, and aspects of communication. Students will analyze existing designs, and use various technical tools to implement their own designs. This course consists of a series of in-class activities, design projects, peer critique sessions, and guest speakers. Recommended prerequisites: some web programming experience. Application required.
Terms: Aut, Spr | Units: 2 | Grading: Satisfactory/No Credit

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, Win | Units: 3-5 | UG Reqs: GER:DB-Math, WAY-FR | Grading: Letter or Credit/No Credit
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