Scientific Computing on AWS 4 of 4

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.

OIST NetCafé (Online Information Session) in October 2021

This session will be done in English. The program will start off with OIST general introduction, PhD & Research Internship admission process, financial support and student life followed by the panel discussion by 2 OIST PhD students. One of them has joined OIST Research Internship Program before becoming OIST PhD student so this session will be very exciting for those who are interested in Research Internship Program as well as PhD program.

Mini Course: R Package Development 2 of 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 3 of 4

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.

Mini Course: Vector Graphics

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

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

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

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

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

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.