I'm enrolling in the MCS-DS program in Fall 2021 and considering CS 519 Scientific Visualization as my first course. Does anyone who has taken this class have any thoughts on the quality, rigor, workload as it seems to be a relatively new offering? I see that Data Visualization CS 416 may be a pre-requisite. Is this a prohibitive pre-requisite and if not, do you believe that Scientific Visualization can be taken without it? Thanks in advance.
I am building a scientific visualization of a printing process for my thesis project and I have to show (2D is enough) the deformation of 2 different materials (flexible plate and substrate) dynamically based on an input function. The function will change the movement speed of the rollers too.Do you have any suggestions on the programming language / libraries to use to work with it?The final product has to be visually effective and interactive, and my programming abilities are pretty basic (I know C and C++ with a bit of OpenGL and very basic Python).
Thank you
The library I'm working on may be of interest to part of the audience here. It's still quite early stage and I'm looking forward to getting user feedback.
Datoviz is an open-source high-performance interactive scientific data visualization library leveraging the GPU via Vulkan for speed, visual quality, and scalability. It supports both 2D and 3D rendering, as well as minimal graphical user interfaces (using the Dear ImGUI library).
Written in C, Datoviz has been designed from the ground up for performance. It provides native Python bindings (based on Cython). Bindings to other languages could be developed thanks to community efforts (Julia, R, MATLAB, Rust, C#, and so on).
In particular, Datoviz integrates a light Vulkan wrapper, vklite, that is geared toward scientific visualization, which has much less demanding requirements than video games.
Can anyone who has taken Scientific Visualization (grad level online MCS class) recommend a good section/professor to take? UIUC seems so mixed in terms of class difficulty but specifically across sections. Both classes I took in the spring has almost a full standard deviation below the averages of the other sections and I don't want to tear the rest of my hair out...
https://preview.redd.it/t2x1o8m73yu61.png?width=2160&format=png&auto=webp&s=98be4f79e79ae050997c3895f95c2e55635db8d6
Hi, I am looking for an alternative to matplotlib for scientific data visualization, and the part that is bothering me the most is the complication involved for some simple animations as well as a lack of documentation for the Object Oriented sintax approach that it requires. Anyone have any suggestions? I was thinking about wandering to PyQt, Vispy and Plot.ly, however my knowledge of these packages ends at their names (I also know that Vispy makes use of OpenGL, and I have zero knowledge of GPU computing, so I don't know how much of an obstacle that would to to use Vispy properly)
Hi all
I am deciding to what courses to do in fall I am in MCS-DS
Have you had a course with Eric Shaffer, MCS? if you did how do you rate the course and the instructor?
Thanks
I'm back. So a while back I posted on reddit about my personal projects I was having problems with. I'm really grateful for the people that posted there and helped with my problems. After a while I finally figured out the main bugs and have finished almost the first stage for the project.
I still haven't implemented any sort of fancy transfer functions, since I'll have to make the GUI for that first. Only ".raw" and ".pvm" files are supported currently. The renderer just renders greyscale images of datasets. As as results some datasets with a wide range of densities show excessive noise and there's no way to prune that noise (no transfer functions :( ). Anyways here is the github repo and here is a video
https://www.youtube.com/watch?v=TI-J9LpEjF8&
Hope you guys like it :)
