Module Title:   Data Visualisation (PG)

Module Credit:   20

Module Code:   EM-4091D

Academic Year:   2015/6

Teaching Period:   Semester 2

Module Occurrence:   A

Module Level:   FHEQ Level 7

Module Type:   Standard module

Provider:   Games and Visual Effects

Related Department/Subject Area:   School of Media, Design and Technology

Principal Co-ordinator:   Professor Hassan Ugail

Additional Tutor(s):   -

Prerequisite(s):   None

Corequisite(s):   None

Aims:
The aim of this module to provide you with key principles and techniques of data visualization. By completing this module you will gain advanced knowledge and skills on developing methods and techniques of data visualisation to improve comprehension, communication, and decision making in big data applications.

Learning Teaching & Assessment Strategy:
Lectures, lab sessions and workshops make up the contact time. The lectures will present the relevant theory underpinning the subject. Workshops and practicals will enable you to apply the theory to practical situations. The theory will be tested with an examination and the practical elements will be assessed through 2 pieces coursework. Supplementary assessment: will be to repair deficiency in original submissions and examination.

Lectures:   24.00          Directed Study:   148.00           
Seminars/Tutorials:   3.00          Other:   0.00           
Laboratory/Practical:   24.00          Formal Exams:   1.00          Total:   200.00

On successful completion of this module you will be able to...

demonstrate an advanced understanding of modern data visualisation methods and systems.

On successful completion of this module you will be able to...

demonstrate a practical and advanced ability in the implementation of data visualisation techniques in practical situations.

On successful completion of this module you will be able to...

deploy enhanced technical analysis and problem solving skills, advanced written and presentation skills.

  Coursework   30%
 
  Individual coursework (1000 word written report), to assess on the understanding data visualisation techniques.
  Coursework   30%
 
  Individual coursework (1000 word written report), to assess the applications of data visualisation.
  Examination - closed book 1.00 40%
 
  Examination - closed book 1 hour

Supplementary Assessment:
As Original

Outline Syllabus:
Outline syllabus
(1) Visualization techniques given particular requirements imposed by the data;
(2) Analysis techniques to critique examples of visualizations;
(3) Interpretation of multidimensional formats and presentation techniques;
(4) Application of data visualisation techniques for data relating specific audience type, task or source;
(5) Creation of multiple versions of digital visualizations using various programming and software packages.
Reading List:
Fry, B. (2007). Visualizing data. Sebastopol: O`Reilly.
Few, S. (2006). Information dashboard design: The effective visual communication of data. Sebastopol: O`Reilly.
Few, S. (2012). Show me the numbers: Designing tables and graphs to enlighten. Analytics Press.
Wong, D. (2011). The Wall Street Journal guide to information graphics: The dos and don`ts of presenting data, facts and figures. New York: W.W. Norton & Company.

Version No:  1