McMurtry Award Lecture: James Wang скачать в хорошем качестве

McMurtry Award Lecture: James Wang

“Unleashing the Problem-Solving Potential of Next-Generation Data Scientists” Abstract In this talk, Wang will reflect on his approach to teaching and the strategies he has developed to inspire and empower students in the rapidly evolving fields of data science. By focusing on the value of mentorship and hands-on learning, he’ll explore how these experiences help students reach their full potential. He’ll also highlight key principles such as critical thinking, active learning, and fostering independence—using the DS 340W Applied Data Sciences course as an example—to demonstrate how these approaches enable students to navigate complex interdisciplinary challenges. He aims to show how a supportive and dynamic educational environment enables students not just to complete tasks but to grow into independent problem solvers. Biography James Z. Wang is a distinguished professor in the Data Sciences and Artificial Intelligence area of the College of Information Sciences and Technology at Penn State. He received a bachelor’s degree in mathematics, summa cum laude, from the University of Minnesota (1994) and holds a master’s degree in mathematics (1997), a master’s degree in computer science (1997), and a doctoral degree in medical information sciences (2000) from Stanford University. His research interests include image analysis, affective computing, image modeling, and image retrieval and their applications. He was the recipient of an NSF CAREER Award (2004), Amazon Research Awards (2018–2022), and the George J. McMurtry Faculty Excellence in Teaching and Learning Award (2023).