In Forecasting you are introduced to serially correlated data, that is, data which is ordered over time. The current observation is assumed to be linearly dependent on previous series values. Our aim is to model this dependency and then use the model to extrapolate forwards into the future. SPSS for Windows is used to model time series data. Regression models in which the data is collected over time are also examined and the effects of intervention can be investigated e.g. the effect on sales of an advertising campaign.
Many computer applications use graphics displays.
This is essentially a practical course in which computer programs are written to implement algorithms for producing images. Objects in a picture, for instance buildings, need only be defined once. They are subsequently transformed, using mathematics which is encountered earlier in the course, to take account of their positions and orientations relative to each other . When drawing objects on a screen account is take of the position of the viewer of the scene, perspective, whether objects can obscure each other and the texture and colouring of surfaces. These problems are also addressed in this course.