and randomized algorithms. Important themes that will be developed in the course include the algorithmic abstraction-design-analysis process and computational tractability (e.g., NP-completeness).

The course covers the methodology and tools to design digital systems with MATLAB. Topics include algorithm design and analysis with MATLAB, MATLAB Simulink development, conversion from algorithm to ...

A new quantum algorithm developed by University of Georgia statisticians addresses one of the most complex challenges in single-cell analysis ... which process information as bits—like on ...

The algorithms provide an exponential speed-up over the best currently known classical algorithms for topological data analysis ... it is still possible to process the highly compressed quantum ...

Topics include hardware, software, algorithms, operating systems ... gameplay elements and challenges, and the design process. An introduction to computer programming, motivated by the creation and ...

This new technique, based on a deep learning algorithm, addresses a critical roadblock in neuron analysis, allowing researchers to rapidly gather and process neuronal signals for real-time ...

and randomized algorithms. Important themes that will be developed in the course include the algorithmic abstraction-design-analysis process and computational tractability (e.g., NP-completeness).