There is a two hour lecture scheduled followed by a one hour practical.
There is no specified textbook for this unit and a variety of readings will be made available on iLearn. The following books are good general references that will be used during the semester:
- Tufte, E. (2001). The Visual Display of Quantitative Information (second edition). Graphics Press: Cheshire Conn.
- Tufte, E. (1990). Envisioning Information. Graphics Press: Cheshire Conn.
- Tufte, E. (1997). Visual Explanations: images, and quantities, evidence and narrative (third edition). Graphics Press: Cheshire Conn.
- Cleveland, W. (1993). Visualizing Data. Hobart Press, New Jersey.
- Chen, C., Hardle, W. and Unwin, E. (eds.) (2008). Handbook of Data Visualization. [HDV] Springer-Verlag, Berlin.
With the relatively small number of students enrolled and the advanced (masters) level of this unit, we will be relying less on formal lectures and more on individual reading, preparation and learning to use the computer, and on collaborative investigation and discussion of problems. However, we may have a number of ‘guest lectures’ which will be presented live and be available in some electronic form afterwards. There will be weekly readings (usually electronic), weekly data investigations (using a computer package or language), weekly discussions (live or electronic) and regular opportunities to create and add materials to your portfolio.
The unit will make use of a range of packages, most importantly R, and the graphing packages Mondrian and GGobi.