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In the Computer Science lab you will have the opportunity to engage in cutting-edge applied computer science projects including applied artificial intelligence and machine learning projects utilizing real-world datasets and innovative predictive problems. Students working in the lab will gain end-to-end understanding of problem formulation and understanding, data manipulation and integration, model implementation, accelerated computing and model evaluation.

Students have the opportunity to gain expertise and project experience with cutting edge machine learning technologies such as deep learning and tree ensemble-based learning. Where innovative contributions to current knowledge are made, students will also have the possibility of contributing to peer-reviewed papers reporting on those contributions.


Leadership

Director 

Dr. Robert Steele

Chair of Computer Science 

Resources