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 ...

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).