SURE: Summer Undergraduate 研究 Experience

2024年夏季项目

Topic: Speedier Simulations

顾问: 弗雷德Hickernell

Description: Monte Carlo methods are used to solve problems involving uncertainty, such as financial risk 和 geophysical problems whose parameters are not known precisely. The speedy simulations research group develops 和 implements algorithms in an open source Python package, called QMCPy that speeds up Monte Carlo simulations. Students will contribute to QMCPy by exploring new use cases, by implementing new algorithms, 和/or by improving performance through parallel processing. By joining the speedy simulations research group, students will experience teamwork, learn to identify 和 solve research problems, follow good practices in technical software development, 和 hone their communication skills. A background in statistics 和 Python (or other language) programming will be an advantage.

Topic: Baseball Game Simulation

This is a collaborative project with the Chicago White Sox.

顾问: 马特Koenig 和 丁女士

Descriptions: Take in two rosters, 首发阵容, 统计数据, 和 the rules of a baseball game to create a game simulator to predict the final score 和 statistics of a game. This simulator will simulate each at bat of a game using the present situation, 球员, 和 rules to predict the outcome. This tool could be used to test out the performance of different lineups, 预测一个季节, or to predict a certain outcome.

Topic: Machine Learning for Traffic Accident Prediction

顾问: Huiling廖

Descriptions: Controlling traffic accidents is an important public safety challenge, 因此, accident prediction has been a topic of much research. With a large-scale but sparse publicly available dataset including a variety of data attributes such as traffic events 和 weather data, we try to tackle the traffic accident prediction through modeling the nonlinear evolution of spatio-temporal patterns. 在这项研究中, students will work together, starting from identifying research problems to coming up with a solution, to explore different spatio-temporal models 和 also learn to model the patterns 和 predict the occurrence 和 severity of accidents with the proper machine learning tools.

2024年夏季时间表