Computer science is a branch of engineering that encompasses the design, modeling, analysis, and applications of computer systems. Its study at UCLA provides education at the undergraduate and graduate levels necessary to understand, design, implement, and use the software and hardware of digital computers and digital systems.
Computer science is concerned with the design, modeling, analysis, and applications of computer systems. Its study at UCLA provides education at the undergraduate and graduate levels necessary to understand, design, implement, and use the software and hardware of digital computers and digital systems.
Remote learning will continue through the end of summer. Student resources remain available online.
Multiple Open Rank Faculty Positions in Computer Science
University of California, Los Angeles
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Our Latest Research News
Professor Todd Millstein Wins Three Best Paper Awards in 3 Top 2020 Programming Language/System Conferences
Professor Todd Millstein won Best Paper Awards in three conferences: OOPSLA (Programming Language), PLDI (Programming Language), and SIGCOMM (Networks/Systems). These top conferences in their respective areas have low acceptance rates. To receive the Best Paper Award...
Professor Cho-Jui Hsieh has been presented the Samsung AI Researcher of the Year award. This award “recognizes individuals who have made outstanding research or contributions to the field of AI.” An assistant professor in the UCLA Computer Science Department, Cho-Jui...
Ph.D. student Steven Holtzen and his advisors Profs. Guy Van den Broeck and Todd Millstein won an ACM SIGPLAN Distinguished Paper Award for their OOPSLA 2020 paper “Scaling Exact Inference for Discrete Probabilistic...
On Tuesday, October 13, 2020, the UCLA Computer Science Department held a private Virtual Career Fair through the software platform Gatherly. The successful event brought the department affiliate members together with students, allowing them to build student-company...
Dec 03, 2020 — 4:00 pm - 5:45 pm CS 201: Common Sense Reasoning Through Causal Probabilistic Programming, ZENNA TAVARES, MIT Zoom Webinar DETAILS