Resource Page for Visual Analytics 2016-2017 (Hilary Term)

This is a fourth year course at Department of Computer Science, University of Oxford. The main lectures are given by Professor Min Chen (MC). One research officer Dr. Alfie Abdul Rahman (AAR) will provide laboratory demonstration and additional lectures related to the practical assignment. In addition to AAR, Devesh Batra will assist in some of the tutorial classes. For general enquiries, please contact the academic administrators, Shoshannah Holdom, Leanne Carveth and Jo Leggett. The online resources for this course includes:

  • Course description: online version and PDF (up-to-date).
  • Course schedule in PDF (up-to-date): This schedule is subject to changes due to unforeseen circumstances. The changes will be announced during lectures, laboratory sessions and tutorial classes, or by emails typically from academic administrators.
  • Online timetable: main lectures at Lecture Theatre A (except in Lecture Theatre B during Week 1), software laboratory sessions at Room 379, and tutorial classes at Room 051. Please see also the course schedule.
  • Lecture slides (shortened version): Section01-P.pdf , Section02-P.pdf , Section03-P.pdf , Section04-P.pdf , Section05-P.pdf , Section06-P.pdf , Section07-P.pdf , Section08-P.pdf , Section09-P.pdf , Section10-P.pdf (complete).
  • Slides for the guest lectures on D3.js: HTML version, and PDF version.
  • Additional files used during lectures: InfoTheoryVA.pdf (only for the students of VA, available online until 7 February 2017), VolVisNotes.pdf, SimpleDataSets.xlsx, Classification.xlsx, and SimpleProjection.xlsx.
  • Problem sheet 1: This problem sheet will be discussed in the first tutorial class in Week 2. All students should submit their solutions though they will not be formally assessed. The problem sheet is given in a PDF file, ProblemSheet1.pdf.
  • Problem sheet 2: This problem sheet will be discussed in the first tutorial class in Week 4. All students should submit their solutions though they will not be formally assessed. The problem sheet is given in a PDF file, ProblemSheet2.pdf.
  • Problem sheet 3: This problem sheet specifies a practical assignment and this assignment will be assessed, though the assessment does not count towards the final mark of this module. Your work on this problem sheet will be supported by 3 laboratory sessions in Weeks 3, 4 and 5, as well as the second and third tutorial classes in Weeks 4 and 5 respectively. The feedback will be given in the fourth tutorial class in Week 7. The problem sheet is given in a PDF file ProblemSheet3.pdf and the data sets are given as spreadsheets in a zip file ProblemSheet3.zip. Note on Submission: Your assessors would like to have the time to read your paper-based submission. Please follow the following steps to have your assignment assessed: (1) Bring an interim cover page to the practical lab. in Week 5. The cover page should show your name, and the level that you have attempted. Your assessor will note down his/her impression about your demo. (2) Submit your paper-based assignment with this cover page by 12:00noon on Monday 20 February. Your assessors will mark on the paper-based assignment, and will return the marked assignment to you in Week 7 or before. (3) You can then remove the cover page, and submit the assignment to the Department using a provided envelope.
  • Problem sheet 4: This problem sheet will be discussed in the fifth (the last) tutorial class in Week 8. All students should submit their solutions though they will not be formally assessed. The problem sheet is given in a PDF file, ProblemSheet4.pdf, and is accompanied by a data set in Data4Q3.xlsx.
  • Examination: (information to come).
  • Extra readings (research papers in the order where they are featured in the course)
    • J. Thiyagalingam, S. Walton, B. Duffy, A. Trefethen, and M. Chen, Complexity plots, Computer Graphics Forum, 32(3pt1):111-120, 2013. DOI.
    • M. Chen and A. Golan, What may visualization processes optimize?, IEEE Transactions on Visualization and Computer Graphics, 22(12):2619-2632, 2016. DOI. Short Video.
    • G. K. L. Tam, V. Kothari, and M. Chen. An analysis of machine- and human-analytics in classification. To appear in IEEE Transactions on Visualization and Computer Graphics, 23(1), 2017. DOI.
    • D. Oelke, D. Spretke, A. Stoffel, and D. A. Keim,. Visual readability analysis: how to make your writings easier to read, Proc. IEEE VAST, 2010, pages 123-130. DOI.
    • J. Heinrich and D. Weiskopf, State of the art of parallel coordinates, Eurographics STAR Series, pages 95-116, 2013. PDF.
    • M. Bostock, V. Ogievetsky, J. Heer, D3 data-driven documents, IEEE Transactions on Visualization and Computer Graphics, 17(12):2301-2309, 2011. DOI.
    • E. Maguire, P. Rocca-Serra, S.-A. Sansone, J. Davies and M. Chen, Taxonomy-based glyph design -- with a case study on visualizing workflows of biological experiments, IEEE Transactions on Visualization and Computer Graphics, 18(12):2603-2612, 2012. DOI.
    • M. Chen, Volume graphics and volume visualization, in Benjamin W. Wah (ed.) Wiley Encyclopedia on Computer Science and Engineering, Volume 5, 3044-3056, 2009. ISBN 978-0-471-38393-2. PDF(0.2M). [Note: This is a corrected version as the Wiley's version seems to have lost many symbols (e.g., =, -, .).]
    • G. W. Daniel and M. Chen, Video visualization, Proc. IEEE Visualization 2003, 409-416, Seattle, WA, October 2003. PDF(10M).
    • G. K. L. Tam, H. Fang, A. J. Aubrey, P. W. Grant, P. L. Rosin, D. Marshall and M. Chen, Visualization of time-series data in parameter space for understanding facial dynamics, Computer Graphics Forum, 30(3):901-910, 2011. DOI
    • M. Chen, S. Walton, K. Berger, J. Thiyagalingam, B. Duffy, H. Fang, C. Holloway, and A. E. Trefethen, Visual multiplexing, Computer Graphics Forum, 33(3):241-250, 2014. DOI.
    • M. Chen and H. Jaenicke, An Information-theoretic Framework for Visualization, IEEE Transactions on Visualization and Computer Graphics, 16(6):1206-1215, 2010. DOI, VisWeek slides (4.6M).
    • M. Chen, L. Floridi, R. Borgo, What is visualization really for? arxiv:1305.5670, 2013. PDF.
    • R. Kanjanabose, A. Abdul-Rahman, and M. Chen. A multi-task comparative study on scatter plots and parallel coordinates plots. Computer Graphics Forum, 34(3):261-270, 2015. DOI. (Note. Ms. Kanjanabose was an MSc student at Oxford (2013/14). This paper was based on Ms. Kanjanabose's MSc thesis.)
    • G. Baxter, J. Lewis and I. Duncan. What is a technical essay? School of Computer Science, University of St Andrews, URL.
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