Past Events

Mini Course: Vector Graphics

2021年9月28日 (火) 13:00 15:00
B701, Computer Lab, Lab 3.

Vector graphics are computer graphics defined with points, lines and curves rather than pixels, which has the advantage of scaling perfectly to any resolution. This is well suited for many scientifics graphs and illustrations.

▼Target audience
This course is suitable for anyone. 

Mini Course: R Package Development 1 of 3

2021年9月27日 (月) 10:00 12:00
B701, Computer Lab, Lab 3.

R Package Development aims to provide you with the basic tools and knowledge to write your own high-quality R packages.

In this course, we aim to show you how to develop your own R packages. By doing so, you can take your R programming skills to the next level, becoming not just a user, but also a developer.

▼Target audience
This course is suitable for people who:

  • Have some previous exposure to R (like Skill Pill: R)
  • Want to become active contributors to the R community through package development
  • or Want to learn some advanced features of R

Scientific Computing on AWS 2 of 4

2021年9月24日 (金) 15:00 17:00
B701, Computer Lab, Lab 3.

Amazon Web Service (AWS)​​ is a very powerful cloud computing platform powering not only Amazon, but also many other web services across the globe. Scientists are now embracing the massive computing capacity of AWS to perform innovative scientific computing.

▼Target audience

The course requires basic knowledge of Python programming language. In addition, basic understanding of Linux command line is desired to run the hands-on tutorials.

No prior knowledge in cloud computing is needed, but if you know how to use Deigo that will help.

Scientific Computing on AWS 1 of 4

2021年9月22日 (水) 15:00 17:00
B701, Computer Lab, Lab 3.

Amazon Web Service (AWS)​​ is a very powerful cloud computing platform powering not only Amazon, but also many other web services across the globe. Scientists are now embracing the massive computing capacity of AWS to perform innovative scientific computing.

▼Target audience

The course requires basic knowledge of Python programming language. In addition, basic understanding of Linux command line is desired to run the hands-on tutorials.

No prior knowledge in cloud computing is needed, but if you know how to use Deigo that will help.

Photogrammetry for 3D Reconstruction 2 of 2

2021年9月17日 (金) 13:00 17:00
B701, Computer Lab, Lab 3

Photogrammetry is a technique that lets you create a 3D model of an object you have taken pictures from it. Perfect for creating 3D assets, art, 3D printed models, being also useful for visualizing in 3D your object of scientific study. 

▼Target audience
This course is suitable for anyone. 

Photogrammetry for 3D Reconstruction 1 of 2

2021年9月15日 (水) 10:00 12:00
B701, Computer Lab, Lab 3.

Photogrammetry is a technique that lets you create a 3D model of an object you have taken pictures from it. Perfect for creating 3D assets, art, 3D printed models, being also useful for visualizing in 3D your object of scientific study. 

▼Target audience
This course is suitable for anyone. 

[PhD Thesis Presentation_Zoom] ‐ Tsung-Han Hsieh – Deciphering the role of AP-1 transcription factor JunB in CD4+ T cells

2021年9月14日 (火) 9:00 10:00
Please join via zoom

PhD Public Presentation

Welcome to Class of 2021 New Students (POSTPONED TO JANUARY 2022)

2021年9月1日 (水) 10:30
OIST Auditorium

Welcome Ceremony for Class of 2021 New Students has been cancelled due to COVID-19.

Fourier Transforms 2 of 2

2021年8月31日 (火) 15:00 17:00
B701, Computer Lab, Lab 3.

Fourier Transforms will go over the theory and diverse applications of the most famous mathematical transformation.

▼Target audience

This course is suitable for people with a vague knowledge of what a Fourier transform is and wish to deepen that knowledge. Minimal knowledge of Python is a plus but not required.

Fourier Transforms 1 of 2

2021年8月30日 (月) 15:00 17:00
B701, Computer Lab, Lab 3.

Fourier Transforms will go over the theory and diverse applications of the most famous mathematical transformation.

▼Target audience

This course is suitable for people with a vague knowledge of what a Fourier transform is and wish to deepen that knowledge. Minimal knowledge of Python is a plus but not required.

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