As part of Rice University's George R. Brown School of Engineering and Computing, the Department of Computer Science offers six degrees: Bachelor of Art Bachelor of Science Master of Science Master of Computer Science Master of Data Science Doctor of Philosophy Our courses teach you how to approach problems by thinking about the characteristics of a problem, its parameters, and the ways in which they can be represented; also how data is produced, processed and organized, and how it can be modeled, analyzed, visualized, and manipulated. You will also explore the impact of computing paradigms and use existing and emerging hardware ecosystems to tackle challenging problems. The problem-solving, analytical and programming skills you learn here can be applied to the challenges found in areas such as medicine, energy, economics, and social issues, among many others. Undergraduate students do not need prior coding experience to succeed in our introductory courses, and our professional masters programs are some of the few that do not require an undergraduate degree in computer science.
Rice Computer Science Department的外部链接
6100 Main St
US，Texas，Houston
Rice Computer Science Department转发了
We are excited about the launch of Rice Global India, which will include deeper collaborations with the Indian Institute Of Technology, Kanpur and the Indian Institute of Science (IISc) Bengaluru. These partnerships will foster advanced research initiatives, student and faculty exchanges and collaborations in areas such as artificial intelligence, biotechnology and sustainable energy. https://lnkd.in/gVBAsfGW
Rice CS faculty member Rodrigo Ferreira visited YES Prep Public Schools and encouraged the students to challenge stereotypes. Ferreira, a member of Rice’s?Broadening Participation in Computing?(BPC) committee, spoke to the group as part of the school’s?LatinX Leadership Summit, whose 2024 theme was “Mosaic de Cultura - Piecing Together LatinX Heritage.” “My favorite part of the summit was to learn what it means to be Latinx through different types of views,” said one attendee. “We learned that ‘Latin’ is a definition of our own,” said another. https://bit.ly/3CslXnh
Rice CS Assistant Professor Konstantinos Mamouras and his group have published findings on a ‘safer’ way to code. The paper articulates and solves a key problem that can occur when using regular expressions (regex). The team's research won a Distinguished Paper Award at this year's PLDI Conference in Copenhagen. https://bit.ly/3O7fUHy
Meet Rice CS faculty member Xiaoyun Fu. She is a new lecturer in the department this fall and is teaching Computational Thinking and Reasoning About Algorithms. After earning her PhD in computer science at Iowa State, Fu taught in Purdue’s EPICS program, a service-learning design program for their School of Engineering. https://bit.ly/4ff4NZ0
Rice Computer Science Department转发了
We are just one month away from the Fall 2024 D2K Showcase! Student teams from the D2K Capstone course will present their results and compete for top prizes. You will have the chance to interact with D2K students in the poster session to learn more about their projects, ranging from academic and medical research to industry-sponsored and community-impact projects. Register today! https://lnkd.in/gDpvnmxZ
Recent research from Rice University’s Kavraki Lab has made important advancements in the realm of robotics and motion planning. With the lab's new hardware and algorithmic discoveries, robots can begin to move into a dynamic, unpredictable environment and make decisions faster and more reactively. Researchers include Clayton Ramsey (pictured), Zachary Kingston and Wil Thomason along with their advisor Lydia E. Kavraki. https://bit.ly/48CmXkA
Meet Rice CS’ new faculty: Anjum Chida, a new lecturer in the department this fall, specializes in prediction algorithms and constructing complex learning models. https://bit.ly/40vF49U
Rice Computer Science Department转发了
Join the Rice Ken Kennedy Institute for Distinguished Lecture by Klara Nahrstedt, PhD, Swanlund Chair Professor at the Siebel School of Computing and Data Science and Director of the Coordinated Science Laboratory at University of Illinois. "Role of Edge Computing in Age of Machine Learning and Energy Constraints?" on November 11 at 4:00 PM CT in Duncan Hall 1070. This event is free to attend and ELEC 698/699 eligible. RSVP to stay updated on event details: https://lnkd.in/gyyZZ7wN #EdgeComputing #Edge #Computing #MachineLearning #ML #FederatedLearning #FL #Energy
Rice Computer Science Department转发了
The Ken Kennedy Institute hosted a Technology, Culture, and Society Lecture by Moshe Vardi on "Lessons from Texas, COVID-19, and the 737 Max: #Efficiency vs. #Resilience." Dr. Vardi explored learnings from recent disasters to argue why resilience should be a primary consideration in #ComputerScience, #Algorithms and #Economics. Dr. Vardi is a University Professor and the George Distinguished Service Professor in Computational Engineering at Rice University — Rice Computer Science Department. He is also a Fellow at Rice University's Baker Institute for Public Policy. ICYMI: A recording of the lecture is available on our YouTube channel.
Rice Computer Science Department转发了
Associate Professor at Rice University & Visiting Academic at Amazon AGI Foundations
Face recognition is one of the biggest and earliest successes of computer vision, however also one of the types of AI technologies that has to be used the most responsibly. In this primer we wrote with the The Algorithmic Justice League a couple of years ago we introduce how these technologies work in an accessible yet precise manner for a general audience.
What are Facial Recognition Technologies (FRTs), anyway? Learn about these digital tools, used to perform tasks on images or videos of human faces, in “Facial Recognition Technologies: A Primer,” written by Dr. Joy Buolamwini, Vicente Ordónez-Román, Jamie Morgenstern, and Erik Learned-Miller. Read the entire primer here: https://lnkd.in/etSE6WdH Let us know what questions you’d like answered about FRTs!