High Performance Computing
The High Performance Computing (HPC) Interest Group trains students to use specialized computational hardware for problems that are too resource heavy for desktop computers. Special attention is given to algorithms relevant to HPC. MSS manages numerous HPC resources which students use.
The Big Data Interest Group aims to equip undergraduates with current Mathematical and Computational techniques to help make sense of the modern day data deluge. Content is kept in line with the industry standard EMC Big Data curriculum.
Astrophysics provides a rich source of problems for the Mathematical Sciences. This Interest Group aims to provide our undergraduates with a sense of how Mathematical Scientists contribute to Astrophysics and the research opportunities available within our University.
Competitive Programming is a sport whereby a team of programmers try to solve as many programming challenges within a time limit. This group is managed by the School of Computer Science.
The Robotics Interest Group focuses on machines that can solve problems autonomously with a bias towards Machine Learning. MSS is well equipped with multiple robotics platforms and a dedicated Robotics laboratory.
Robotics, Artificial Intelligence and Machine Learning
Our home page is at http://www.raillab.org/