Tutorials are intended to cover a wide selection of topics related to IEEE VIS 2015 and provide background on new tools and application domains necessary for research in data and information visualization and visual analytics. Tutorial attendees come from diverse backgrounds, including volume visualization and rendering, information visualization, geographic visualization, visual analytics, high performance computing, and scientific application communities.

We are soliciting half-day tutorial proposals in the areas of visualization systems, mathematical foundations, methods, and application areas. We welcome course proposals that introduce emerging technologies to the visualization community, as well as proposals on more traditional visualization topics. Topics can include--but are not limited to--any of those listed in the calls for papers for VAST, InfoVis, and SciVis. Tutorials with an application focus are also encouraged.

TUTORIAL DETAIL

Proposals will be evaluated on the basis of the tutorial's importance and suitability for presentation in a tutorial format, the past experience and qualifications of the instructors, the overall balance in the tutorial program, and the likely attendance of the tutorial.

All tutorial proposals should include:

• The level of the tutorial (beginning, intermediate, or advanced)
• An abstract of the tutorial topic
• A description of the tutorial's organization including time allocation and outline for major course topics (500 word minimum)
• The background and contact information for each instructor.

Proposals should not exceeed three pages, and should be submitted via PCS. Please note the formatting guidelines when preparing your submission. While no compensation is offered, we welcome your submissions.

Feel free to address any questions concerning submission, format, and content to tutorials(at)ieeevis.org.

IMPORTANT DATES

Deadline: April 30, 2015

CHAIRS

Natalia Andrienko, Fraunhofer IAIS and City University London
Joao Comba, Universidade Federal do Rio Grande do Sul
Shixia Liu, Tsinghua University

For more information, email tutorials(at)ieeevis.org