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. 

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

PhD Public Presentation

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

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

Fourier Transforms 2 of 2

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

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.

GPU computing with Julia 3 of 3

In this course, we will use the Julia programming language that provides many useful abstractions that make GPU computing easier than writing programs in native GPU languages, such as Nvidia's CUDA.

◆Target audience
This course is suitable for people with some experience with either Julia or GPU computing in another language (such as C).

GPU computing with Julia 2 of 3

In this course, we will use the Julia programming language that provides many useful abstractions that make GPU computing easier than writing programs in native GPU languages, such as Nvidia's CUDA.

◆Target audience
This course is suitable for people with some experience with either Julia or GPU computing in another language (such as C).

[PhD Thesis Presentation_Zoom] - Mr. Kun-Lung Li - "A Study of Horizontally Transferred Glycosyl Hydrolase Family 6 Genes in Tunicate Genomes"

PhD Public Presentations                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               

GPU computing with Julia 1 of 3

In this course, we will use the Julia programming language that provides many useful abstractions that make GPU computing easier than writing programs in native GPU languages, such as Nvidia's CUDA.

◆Target audience
This course is suitable for people with some experience with either Julia or GPU computing in another language (such as C).