This page shows the list of seminars pertaining to our large-scale computer systems.
Please do registration on the page of your interested seminar.
Seminar in the past
See pages below for the past seminars.
Python Tutorial (Intermediate course, 3 Sessions)
October 6 (Tue), 14:00 - 16:00
October 13 (Tue), 14:00 - 16:00
This seminar focuses on more practical aspects of Python programming, including data processing and AI programming, through a three-session tutorial series. Participants will learn how to use Python libraries for numerical computing, data visualization, and web scraping, as well as the fundamentals of data analysis and manipulation using Pandas. The seminar also introduces machine learning programming with scikit-learn, providing a structured pathway toward practical AI applications. The tutorials will be delivered by graduate students from the D3 Center, drawing on their own learning and research experiences. The program is designed to be accessible to those who are beginning their Python journey as well as those seeking to revisit and strengthen their programming skills. Participation is open not only to supercomputing users but also to members of academic institutions and private companies.
Python Tutorial (Deep Learning course, 2 Sessions)
November 6, 14:00 - 16:00
This seminar covers the fundamentals and applications of Deep Learning in Python through a two-session tutorial series. Participants will gain an understanding of key deep learning concepts and learn the complete workflow from data preparation to model training and evaluation through hands-on exercises involving tabular data classification. The seminar will also explore more advanced topics, such as image classification, while introducing approaches to model improvement and application design. The tutorials will be delivered by graduate students from the D3 Center, drawing on their own learning and research experiences. The program is designed to be accessible to those who are interested in artificial intelligence and machine learning, as well as those beginning their study of deep learning. Participation is open not only to supercomputing users but also to members of academic institutions and private companies.
