Facebook
IE 451 Data Visualization and Analysis Select Term:
Introduction to styles of data analysis techniques and information visualization; Histograms, stem and leaf diagrams, boxplots, quantile plots; assessing distributional assumptions about data; Plotting high- dimensional data with special emphasis on parallel coordinate plots, scatter matrices, star glyphs, treemaps; Class project with real-world data-set provided by the instructor or developing information visualization software program.
SU Credits : 3.000
ECTS Credit : 6.000
Prerequisite : Undergraduate level MATH 306 Minimum Grade of D
Corequisite : -