SCAI news
Computing scenarios for defusing polarizing politics
Researchers use computational modeling to examine the dynamics of extreme political polarization and how to prevent it from undermining democracy.
Data DNA to provide security for generative modeling
Yi “Max” Ren and a team of ASU researchers are studying the attribution and secure training of generative models.
Fulton Schools students named US finalists in Red Bull Basement global competition
Pair of SCAI undergrads selected from 182 applications nationwide for their innovative note-taking tool, Jotted
Mapping the mind’s eye
ASU Engineering Associate Professor Yalin Wang is focused on improving scientific understanding of visual processing by the human brain.
Explore our diverse programs
Our programs in computer science support the evolution of the computing and informatics disciplines, and the integration of computer and information sciences with other disciplines such as biology, geography, anthropology, public health, urban planning and mathematics.
The data science, analytics and engineering program focuses on development of new systems and algorithms for collecting, cleaning, storing, valuing, aggregating, fusing, summarizing, managing and drawing inferences from high dimension, high volume, heterogeneous data streams.
Degrees offered: PhD
Degrees offered:BSE
Our industrial engineering programs concentrate on the design, operation and improvement of the systems required to meet societal needs for products and services. The program combines knowledge from the physical, mathematical and social sciences to help design efficient manufacturing and service systems that integrate people, equipment and information.
The discipline of informatics makes connections between the work people do and technology that can support that work. It combines aspects of software engineering, human-computer interaction, decision theory, organizational behavior and information technology.
Degrees offered: BSE
The artificial intelligence concentration of robotics and autonomous systems focuses on the algorithmic aspects of robotics, including statistical machine learning, computer vision, natural language processing, knowledge retrieval and reasoning, and formal methods of planning.
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