The COCoNotes platform is a place to find high quality education resources, most of them free to use/reuse.
The COCo project is over.The COCo project is now over, for lack of funding. The COCoNotes platform, one of the outputs of the project, remains online. Read more
Experiment with HCI studentsStudents from Polytechnique Nantes will use the COCoNotes platform to study various videos about HCI history. See the videos in the GCN IHM channel. Read more
Welcome onboardWelcome onboard of the COCoNotes platform, enjoy our content and annotation facilities. Read more
Des chercheurs réputés en informatique ont répondu à l'invitation du Laboratoire d'Informatique de Nantes Atlantique pour présenter leurs travaux.
Channel - 5 videos
Séminaire PolytechNantes présenté par Benjamin Bach http://benjbach.me/ @benjbach Abstract: While networks are often used to represent data, they are among the most complex structures to understand; representing a natural phenomena such as social relationships, trading flows, or brain connectivity as a network requires powerful tools to make sense of the network topology and its attributes. While there are many quantitative statistics to measure a network, visualization provides the means for a higher-level understanding and hypothesis formulation. This talk gives an overview of my previous work in the areas of visualizing dynamic networks, temporal data, and to approach a better understanding how to convey changes in a networks. While a visualization should work and convey as much information as possible without requiring to interact, most real-world problems require interaction to filter, change, adapt, search, or change perspectives on the data. The talk also discusses approaches to provide interactive visualizations to domain experts and how the use of visualizations in the wild can be facilitated. Bio: Benjamin is a postdoctoral research fellow at Monash University, Australia. His research focuses on interactive information visualizations to help domain experts in different domains, including astronomy, history, archeology and neuroscience explore and present their data visually. Research in these areas includes dynamic and multivariate networks, temporal data, and story-telling techniques. Benjamin and has previous been a postdoctoral research at Microsoft Research—Inria Joint centre. He was a visiting scientist at the University of Washington, WA and Microsoft Research, Redmond. He obtained his PhD in 2014 from the Université Paris Sud, France. http://www.aviz.fr/~bbach/
Conférence inaugurale donnée le 7 juillet 2014 lors de l'école thématique d'été CNRS "MOOC et EIAH", par Marcel Lebrun.
2 public notes - 01:39:08