We congratulate our CSE Ph.D. students: Alireza Nasiri, Jing Jin and Steph-Yves Louis from the Machine Learning and Evolution Lab directed by Dr. Hu for winning the second place and $2,000 prize in the Big Data Health Science Case Competition organized by the UofSC National Big Data Health Science Conference, Columbia, SC February 7th-9th 2020.
The objective of the case competition is to develop a machine learning or data analytic tool that will accurately identify the culprit chemical for a given patient. The provided dataset has a list of 311 chemicals and 79 corresponding signs and sympotoms and a list of ~1,000,000 patient records. There are total 19 teams from around the nation. The Big Data Case Competition is intended to provide enthusiastic teams of graduate and senior undergraduate students with the opportunity to apply their knowledge to the analysis of big datasets in healthcare. Participating teams will be given the same business problem, datasets and access to software to solve a challenging problem using a data analytics approach. Each participating team will analyze the case and data sets provided by the sponsoring company. During this period, the teams must identify the most prominent issues facing the company and develop a strategy to address these key issues in order to help companies achieve their goals. Team members will work together to present their methods and analysis results at the Big Data Health Science Conference. A panel of industry and academic experts judge the presentations based on teams’ use of the full analytics process, from framing the problem to methodology selection, data use, model building and innovation.
Congratulations to all! We are proud of your phenomenal contributions to the Department, College, University, and professional communities. In the coming days, we will announce these awards on our website with some pictures of the winners accepting their awards at the CEC Faculty Meeting. You can view more photos of the event.
This is Dr. Matt Thatcher, Professor and Chair of the Department of Computer Science and Engineering. I want to make you aware of an excellent opportunity available to you – the Bachelor’s/Masters Accelerated Program. This is a combined B.S./M.S degree program available to undergraduate students in Computer Science and Engineering (CSE) with 90 or more hours earned toward their baccalaureate degrees. Students accepted into this program must have a minimum overall GPA of 3.40 and at least 3.40 in the course work taken in CSE. Up to 12 credit hours at the 500 level or above may be applied toward both the B.S. and M.S. degree requirements; this means that with one additional year of study you will leave USC with both a B.S. and an M.S. degree!
The approval of the student's advisor and the graduate director is required. You must have approval before enrolling in the 500 level or above courses in order for them to apply toward this accelerated degree program. So, make sure to contact the graduate director (via this link) soon to learn more about this opportunity; when you complete the contact form at this link please select Graduate admissions or questions as the Category. I hope everyone has a wonderful Fall Break! Sincerely, Matt E. Thatcher, Ph.D. Professor and Chair