Complex, computational work with huge sets of data is now common practice in fields such as genomics, economics, and astrophysics. Researchers in these and similarly data intensive fields depend on ...

Students gain advanced knowledge of algorithms; computational biology; computer architecture; computer graphics and visualization; computer systems design; database systems; computer security; ...

Systems and Networking is a broad and diverse area of computing research which spans areas including: systems, networks and distributed systems, programming languages and software engineering, ...

An operating system designed to work in a network. More complex than a centralized or decentralized architecture, each computer in a distributed system operates and scales independently but is part of ...

A Columbia University alumna and University Gold Medalist, Shah represents the next generation of system architects who are redefining how computing infrastructure is designed In a rapidly advancing ...

Cristina Maier’s primary research interests lie in data science, data-driven systems, and adaptive algorithms, with a particular focus on recommender systems, clustering methods, autonomous systems, ...

Fit within curriculum: core option for Computer Science BS students; Computer Science elective option for Computer Science BA students. Focuses on design and implementation of network programs and ...

The purpose of the Systems Preliminary Exam is to give students an opportunity to demonstrate their ability to analyze, evaluate, and present a pre-existing body of specific research in the area of ...

The Robotic Composites and Compositions (RoCoCo) Group, led by Dr. Buse Aktaş, and the Embodied Social Interaction Group, led by Dr. Philip Müller at the Max Planck Institute for Intelligent Systems ...

When building a web app in previous years, it was common to have a server in a centralised datacentre that would be able to run your application. As usage grew, you would address scalability ...