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.
A revisit to numerical computation of Ordinary Differential Equations
When numerical computation becomes necessary in research and development, what criteria should be used to select an appropriate algorithm?Various factors need to be considered, including accuracy, stability, and computational efficiency. However, even when researchers and engineers encounter questions about seemingly fundamental concepts, they may hesitate to ask others precisely because those concepts are regarded as basic.In this seminar, we will begin by revisiting the textbook fundamentals of numerical algorithms for ordinary differential equations (ODEs). We will then provide a systematic overview of numerical methods for ODEs, ranging from classical approaches to state-of-the-art techniques.Through illustrative examples, including the potential pitfalls that can arise when individually effective ideas are combined in a straightforward manner, we will discuss how different algorithms can be classified, understood, and selected in practice.
Getting Started with Programming Using Generative AI (3-Part Series)
Sep. 17, 10:00 - 12:00
Sep. 24, 10:00 - 12:00
This seminar series consists of three sessions covering everything from the fundamentals of programming with generative AI (AI coding) to practical applications. Topics include how AI coding works, how to choose appropriate tools, how generative AI can be used to create and execute job scripts on supercomputers, techniques for effectively using coding agents, and strategies for reducing token consumption and usage costs. Graduate students at the D3 Center will serve as instructors, drawing on their own experience to provide clear and accessible explanations for both those who are new to programming with generative AI and those who would like to revisit the fundamentals. The seminar is open not only to supercomputer users but also to participants from academic institutions and private companies.
Python Tutorial (Beginner course, 2 Sessions)
Thursday, September 17 14:00 - 16:00 (JST)
This seminar provides an introduction to Python programming, from the fundamentals to practical applications, through a two-session tutorial series. Participants will learn how to set up a programming environment and use Google Colaboratory, as well as the basics of Python programming, including variables, expressions, conditional statements, functions, library usage, and file input/output. 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 completely new to Python as well as those looking to refresh and strengthen their foundational skills. Participation is open not only to supercomputing users but also to members of academic institutions and private companies.
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.
