2015 Data Teaching Workshop – 2nd IEEE STC CC and RDA Workshop on Curricula and Teaching Methods in Cloud Computing, Big Data, and Data Science 

as part of CloudCom 2015 (http://2015.cloudcom.org/), Vancouver, Nov 30-Dec 3, 2015. 

Scope

The emergence of Cloud Computing, Big Data, and Data (Intensive) Science as specialized fields in computing is motivating development of new books and courses to provide education in the techniques and technologies needed to extract knowledge from large datasets in virtualized environment. In current literature there is a lack of centralized learning resource for beginners that would integrate administrative, programing, and algorithm design aspects of related domains. We believe it is important to allow students, researchers, and professionals to understand cross-domain aspects of these challenges before they embark on further exploration of these fields.

The IEEE Cloud Computing Initiative and the Research Data Alliance support for this workshop will bring together wider community of scientists, researchers and practitioners and will serve as a meeting point for all working on or interested in this area.

The workshop will be organizationally sponsored by the Horizon2020 project EDISON funded by European Community to coordinate Data Science curricula development in Europe and international harmonization.

We plan to accept a small number of high quality contributions for extended presentations including tutorial elements. At the end of the workshop a forum discussion is planned to debate on future directions of curricula and teaching methods in Cloud Computing, Big Data, and Data Science

More information on workshop website:  http://cipsijoomla.ux.uis.no/cloudcom2015/index.php/workshops?id=50

Topics

Include but are not limited to the following areas applied to one of the fields (Cloud Computing, Big Data, Data Science) or closely related to them:

  • novel or updated curricula;
  • novel or updated teaching methods, e.g. Bloom’s taxonomy for new types of Computer Science and Big Data courses, flipped learning, etc ;
  • review and presentation of novel teaching materials;
  • review of methodologies;
  • characterization of domain knowledge (Body of Knowledge);
  • adoption as a part of institutional strategies;
  • review and analysis of existing practices in the design, implementation, and evaluation;
  • multimedia and interactive components in residential and online education, educational platforms, MOOCs and others;
  • cooperation between universities/academia and industry in delivering advanced education and leadership programs;
  • implementation reports and lessons learnt;
  • future trends and issues.

Important Dates

Paper submission: August 1st, 2015 August 10, 2015 (Final Extension)
Notification of acceptance: Aug 25th, 2015
Camera-ready version: September 15th, 2015 (please observe main CloudCom 2015 website)

Programs

1. Andrea Manieri, Francesco Saverio Nucci, Mauro Femminella and Gianluca Reali. Teaching domain-driven Data Science: public-private co-creation of market-driven Certificate

2. Geoffrey C. Fox, Sidd Maini, David Wild and Howard Rosenbaum. Data Science and Online Education

3. Yan Liu. Teaching Programing on Cloud : A Perspective Beyond Programing

4. Tomasz Wiktorski, Tom Hacker, Raymond Hansen and Gregory Rodgers. Experience with Problem-based Learning in a Hybrid Classroom

5. Andrea Manieri, Yuri Demchenko, Tomasz Wiktorski, Steve Brewer, Ruben Riestra, Matthias Hemmje, Tiziana Ferrari and Jeremy Frey. Data Science Professional uncovered: How the EDISON Project will contribute to a widely accepted profile for Data Scientists 

Submissions

Submissions are accepted on EasyChair:
https://easychair.org/conferences/?conf=dtw2015

Authors are invited to submit papers containing unpublished, original work (not under review elsewhere) of up to 6 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per IEEE 8.5 x 11 manuscript guidelines. It might be possible to purchase additional pages from conference organizers (see details on the conference website).
Templates are available from: http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Authors should submit a PDF file. Papers conforming to the above guidelines can be submitted through the workshop's EasyChair submission system. At least one author of each accepted submission must attend the workshop and all workshop participants must pay at least the CloudCom 2015 workshop registration fee. All accepted papers will be published by the IEEE. All presented papers will be subject to peer review process.

Format

Presentation of accepted papers should consist of two parts: regular paper presentation and a short tutorial (if requested by author) demonstrating in practice results discussed in the paper. 30 to 60 minutes will be allocated to each presentation, depending on the amount of papers accepted. 

Workshop will finish with a forum discussion to debate on future directions of curricula and teaching methods in this area.

Organizers

Tomasz Wiktorski, University of Stavanger, Norway
(This email address is being protected from spambots. You need JavaScript enabled to view it.)
Thomas J. Hacker, Purdue University, USA
(This email address is being protected from spambots. You need JavaScript enabled to view it.)
Yuri Demchenko, University of Amsterdam, The Netherlands
(This email address is being protected from spambots. You need JavaScript enabled to view it.)

Program Committee

Gregory Rodgers, AMD Research, USA
Reidar Lyng, NTNU, Norway
Raymond Hansen, Purdue University, USA
Chunming Rong, University of Stavanger, Norway
Martin Gilje Jaatun, SINTEF, Norway
Aleksandra Krolak, Lodz University of Technology, Poland
Holger Brocks, FTK, Germany
Wouter Los, University of Amsterdam, Netherlands
Steve Brewer, University of Southampton, UK
Andrea Manieri Engineering, Italy
Christopher Jung, Karlsruhe Institute of Technology, Germany
Laura Molloy, Digital Curation Centre / HATII, University of Glasgow
Lukasz Bolikowski, ICM, University of Warsaw, Poland
Ana Lucia Varbanescu, University of Amsterdam, Netherlands
Lars Nagel, Johannes Gutenberg-Universität Mainz, Germany