2 grudnia 2015 13:31

W przyszłym tygodniu rozpocznie się minikurs poprowadzony przez Prof. Tomasza Bednarza z Science and Engineering Faculty of Queensland University of Technology(http://staff.qut.edu.au/staff/bednarz).

Na pierwszy wykład zapraszamy 3.XII.2015 o godz. 14:15 do sali 141 (może być przesunięty na 16:15 — zainteresowanych proszę o kontakt w spawie terminu i uczestnictwa z Łukaszem Piwowarem).

Planowany wymiar kursu to 4 wykłady i 4 laboratoria (16 godz. i 2 ECTS). Kolejne zajęcia są planowane w następne czwartki i piątki w ciągu najbliższych 3 tygodni, ale istnieje możliwość dostosowania terminu do możliwości zainteresowanych — ta kwestia zostanie przedyskutowana na pierwszym wykładzie.

Opis minikursu:

Modern Platforms for Big Data Analytics, Graphics and Visualisation

This lecture introduces various concepts for Big Data Analytics, Visual Analytics, Graphics and Visualization in four modules.

The first module introduces Big Data platforms concepts for storage and compute. It showcases Hadoop Distributed File System (HDFS) and Hadoop MapReduce techniques with examples and few design patterns. It also demonstrates chosen technologies from Big Data ecosystem such as Apache Pig, Apache Spark, Mahout and Scoop, etc. Learn basic concepts about data to decisions.

Second module provides introduction to graphics and compute APIs: OpenGL and OpenCL - accelerated techniques to explore data sets in a more robust way. Using those techniques, you will understand how to create high-performance, visually compelling graphics software applications. Vulkan API (new OpenGL) will be shortly introduced as bonus.

Third module will show off how the combined effort of programming, graphical, technical and design skills shapes our visual future. Examples will include use of 3d print outs, electronics devices (such as Arduino) for creating modern art or science installations, able to detect breath, motion or monitor surrounding environment to make this world a safer and better place.

Fourth model will show mix of techniques presented in previous modules in area of computational simulation sciences. Examples will be shown in area of Computational Fluid Dynamics (CFD) that aims to reconstruct the reality of fluid motion and behaviour as accurately as possible in order to better understand the natural phenomena under specified conditions. Accelerated method will be demonstrated, hopefully to inspire to connect art, science, design and engineering into one.


  • Introduction to Big Data and Visual Analytics
  • Big Data store and compute
  • Imaging in clouds – platform demonstration
  • Accelerated compute, scaling and modern GPU Clusters
  • Introduction to OpenGL, OpenCL, WebGL
  • Graphics and visualization libraries
  • Immersive visualization and 360 degree videos
  • Ninja hack art, use of Arduino to detect breath and interact with simulations
  • Introduction to Computational Fluid Dynamics and code acceleration
  • Connecting simulations with users’ interactions

Time: 4 weeks – 2 hour lecture + 2 hour labs per week
Credit: Few small projects will be defined. Students will pick up one, in topic of interest and will have three weeks to write a report and demo their solution.

Więcej o wykładowcy

Professor Tomasz Bednarz currently works at the QUT Science and Engineering Faculty (between Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers and the Institute of Future Environments). Earlier he worked as Research Team Leader of Statistical Analytics and Inference, Computational Research Scientist and Projects Leader at CSIRO’s Digital Productivity and Services Flagship. He joined CSIRO in early 2009, and initially worked as 3-D Visualisation Software Engineer at CSIRO Queensland Centre for Advanced Technologies. Then in early 2011, he moved to Sydney to carry out works on image analysis using GPGPUs and heterogenous architectures, and led NeCTAR funded Cloud-based image analysis and processing toolbox project (http://cloudimaging.net.au). He led project Platform for Big Data Analytics and Visual Analytics, connecting data analytics, statistical modelling, image analytics, machine learning, visualisation into one stack of reusable solutions running on the CSIRO infrastructure. His broad range of expertise spanning from image analysis, through numerical simulations and experiments with fluids, visualisation, computer graphics, demoscene to human-computer interactions is evidenced by the quality and number of publications (http://www.researcherid.com/rid/A-7376-2011).

He runs Brisbane GPU Meet-up group, is active in the ACM SIGGRAPH International Resources Committee, chairs IEEE Computer Society Queensland chapter, chairs Brisbane SIGGRAPH chapter and leads the Brisbane Khronos Group chapter. He actively promotes use of computational and visualisation techniques for science and research, and art + science methodology.


Adjunct Senior Lecturer, Design Lab, University of Sydney (http://sydney.edu.au/architecture/disciplines/designlab.shtml)

Adjunct Senior Lecturer, School of Information Technology and Mathematical Sciences, University of South Australia

Visiting Scientist, CSIRO Chair of Brisbane SIGGRAPH Chapter (http://brisbane.siggraph.org)

Chair of Queensland IEEE Computer Society (http://ewh.ieee.org/r10/queensland/v2/doku.php/chapters:cs:start)

Chair of Brisbane Khronos Group Chapter (https://www.khronos.org/)