11 - 20 of 224 results for: CS

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.

A sea change has occurred in science, technology, medicine, politics, and society as a whole: many of the world's biggest discoveries and decisions are now being made on the basis of analyzing massive data sets, referred to as "big data". Everyday examples include social-network friend recommendations, and weather predictions far more accurate than a decade ago; both use vast collections of data to model the past and predict the future. But it is surprisingly easy to come to false conclusions from data analysis alone. For example, we might conclude that acne medicine prevents heart attacks and strokes, if we forget to factor in the age of the patients. Privacy is a major concern: Target stores analyzed buying patterns to predict with remarkable accuracy which of their shoppers had just become pregnant, but trouble arose when they sent baby ads to the homes of pregnant teens whose parents weren't yet in the know. We will start by surveying the history of data-driven activities, leading up to the recent Big Data explosion. A variety of data analysis techniques will be covered, leading students to appreciate that even simple techniques can go a long way when the data set is large enough. Common stumbling blocks leading to false conclusions will be discussed, and students will be asked to debate the many issues surrounding privacy. In one project, students will see whose analysis techniques can best predict user movie ratings based on past rating behavior. A second project will be individually designed in an area of the student's choosing. The seminar will include a mix of assigned readings, small-scale investigations and assignments, classroom discussions, and two projects. No computer programming or special math skills are required; students will learn the basic techniques and tools they need to complete the data analysis assignments and projects.

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.

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.

Focuses on the role of cell phones as the first prevalent wearable sensors that gather information about you that can be both useful and potentially harmful. Topics include the state of technology, sociological and privacy implications, potential governmental regulation, etc. Addresses omniscient "big brother" technology including radar guns and the recording devices that led to the Watergate scandal. Students will gather and compile information on topics and come to class ready to discuss and debate with formulated opinions.

Learn web technologies by working on real world projects focused on creating positive social impact. The class will cover basic topics related to web development and provide resources for more advanced learning. Students will work on small teams to implement high-impact projects for partner organizations. The aim of the class is to empower students to leverage technology for social good by inspiring action, facilitating collaboration, and forging pathways toward change. No web application experience required. Prerequisite: 106B. Application required; apply online at http://bit.ly/90siApp. Applications accepted until midnight on September 14th.

Introduction to visual design in the web context. Course consists of two components: lectures and critiques. Lectures will focus on design principles and examples from print and web, with some guest speakers. Critiques will give students the opportunity to practice both giving and receiving feedback. Topics include layout, composition, color,typography, and interaction design. Students will create designs to be showcased in a final presentation. Application required, see http://cs91si.stanford.edu.

The fundamentals and contemporary usage of the Python programming language. Primary focus on developing best practices in writing Python and exploring the extensible and unique parts of Python that make it such a powerful scripting language. Topics include: data structures (e.g. lists and dictionaries), and characteristic pythonic conventions like anonymous functions, iterables, and powerful built-ins (e.g. map, filter, zip). Time permitting, we will also cover object-oriented design, modules, (e.g. request, itertools), and modern Python-based web frameworks. Prerequisite: 106A. Application required.

Artificial intelligence has entered nearly every facet of our society. This course intends to give students, particularly non-CS majors, a fundamental understanding of AI and its implications for art, ethics, philosophy, and human consciousness. By drawing upon a variety of sources, holding hands-on workshops, and incorporating field trips, we hope to explore the interdisciplinary issues raised by AI progress that society must wrestle with in the near future. Enrollment is limited to 20 students. The application is available at http://bit.ly/explore-ai and due at 11.59pm on the first day of classes 03/30/2016.