Tag Computer science
UW School of Computer, Data & Information Sciences adds three degree programs
The new degree programs, which will launch in the fall, are designed to increase skills that are in high demand, preparing a talent pipeline that will drive economic growth in the region and beyond.
CDIS job fair proves popular
Students flocked to School of Computer, Data & Information Sciences job fair on Feb. 15 at Union South, to meet with representatives from a variety of companies offering opportunities.
App repairs student connections torn by pandemic
Demic is an app created by students that facilitates academic support and social connection among UW–Madison students. About 800 students have already joined the app, which launched at the beginning of the semester.
Research aims to give everyone a fair shot at accessing COVID-19 vaccines
A UW team's work will inform government and community groups’ efforts to address vaccine access and hesitancy, with the ultimate goal of increasing immunization rates.
Human-Computer Interaction focuses on technology to improve daily lives
Human-Computer Interaction research at UW–Madison aims to make technology more accessible while fostering efficiency in human-centered tasks.
New Data Science degree emerges as the fastest growing major at UW–Madison
The decision to create the Data Science major came after a university-wide recognition that this field of study is one of the most rapidly emerging career sectors in the nation.
UW startup DataChat democratizes data science
The company's growth since being founded in 2017 illustrates the many ways UW–Madison nurtures start-ups that arise from its research.
UW focuses on engaging women in computer sciences
Funding from the grant will allow the computer sciences department to expand pathways for students including strategies to encourage students to enroll in entry level classes, augmenting curricula to create smoother transitions from entry level to more advanced coursework, and providing staff support and funding to develop community and cohorts.
Cellular networks vulnerable to wildfires across U.S.
More than 430,000 cell network transceivers covering approximately 85 million people are in areas the U.S. Forest Service considers at moderate or high wildfire risk.
Seeding tech growth in Wisconsin’s fertile ground
A Global Startup program will nurture high-tech entrepreneurs in the risk management industry, in a partnership with UW–Madison and American Family Insurance
American Family Insurance Data Science Institute awards “mini grants” to advance data science
The emerging field of data science is the study, development or application of methods that reveal new insights from data. The successful projects will further research ranging from third-wave artificial intelligence to student entrepreneurship.
Simple ‘smart’ glass reveals the future of artificial vision
UW-Madison engineers have devised a method to create pieces of “smart” glass that can recognize images without requiring any sensors or circuits or power sources.
Mark Hill honored for improvements to vital computer memory systems
Hill has been analyzing and improving how computer memory functions since the 1980s. His developments became the basis of the memory models for the ubiquitous programming languages Java and C++.
Need to talk to your data? UW–Madison spinoff is happy to translate
UW-Madison computer science professor Jignesh Patel and Rogers Jeffrey Leo John, a recent graduate student, founded DataChat in June, 2017, with the goal of making it more efficient for businesses to get insights from data.
New master’s in quantum computing offers training for a growing field
In a single calendar year, the program will catch students up on the fundamentals of quantum physics, cover the theory behind quantum computing, and teach students laboratory skills to construct the devices.
Center for Trustworthy Machine Learning established with $10 million NSF grant
UW-Madison is part of a consortium that received a $10 million NSF grant that will work toward understanding the risks inherent to machine learning, and developing the tools, metrics and methods to manage and mitigate these risks.