Education Workshop

Summary: The workshop considers an important APSIPA topic as we look to educate the next generation of students in signal and information processing. The focus here is on graduate education, but the topics are also relevant to undergraduate education, recruiting K-12 students into our discipline, and continuing lifelong education for our community. AI, data science, and machine learning are playing increasingly more important roles in signal processing education and research. Topics to be considered include:

1)    How signal processing education is changing in the AI era. What topics and courses in data science and machine learning are critical for graduate signal processing students?

2)    How AI methods like Large Language Models (LLM) are affecting signal processing education.  LLMs are changing the way information is gathered in all fields of instruction. How can AI and LLMs be used for technical subjects, such as signal processing, to augment more traditional educational delivery methods.

3)    How other topics including social science are affecting signal processing education. How important is it for signal processing students to understand topics such as ethics and economics?

4)    How we should train our students in signal processing to prepare them for the workforce: industry, academia, and government.