WebCS350: Secure Compilation. Instructor: Marco Patrignani (follow link for website and MAIL) Below you will find the following information for the course: -- general course information, -- prerequisites and interest, -- location and timeslots, -- evaluation and grading, -- high-level syllabus outline, -- class and lecture outline. WebThe undergraduate major in computer science offers a broad and rigorous training for students interested in the science of computing. The track structure of the CS program also allows you to pursue the area (s) of CS you find most interesting while giving you a solid overall foundation in the field. As part of the CS major, students complete a ...
CS341 Spring 2016 Information Slides - i.stanford.edu
WebThe central focus of the course is the development of a game by teams of 3 to 5 students. The course strongly emphasizes code development using a modern game engine. Students will gain skills necessary to develop games and to develop game engines. 3 undergraduate hours. 4 graduate hours. Prerequisite: CS 225. Web100-199 other service courses, basic undergraduate. 200-299 advanced undergraduate/beginning graduate. 300-399 advanced graduate. 400-499 experimental. 500-599 graduate seminars. The ten's digit indicates the area of Computer Science it addresses: 00-09 Introductory, miscellaneous. 10-19 Hardware Systems. 20-29 Artificial … the otherside tamar kaprelian
CS41 - The Python Programming Language - Stanford Python
WebStanford CS 341 Mining Massive Data Sets Project. Re-Ranking Layer for Product Search Engine. Summary. Walmart.com maintains an online catalog of over 2M products. … WebProposals are due midnight, Friday March 18, 2016. Teams of 3 expected. 3 pages max desired. Mail your proposals to cs341-spr1516-staff at lists dot stanford dot edu. We'll let you know if your proposal is accepted by March 25. More information is contained in the "General Information" slide set below. Slides Available General Information Also ... WebCS 341: Project in Mining Massive Data Sets Students work in teams of three to solve a problem involving the analysis of a massive dataset. A proposal, early in March is required. shuffle group