Faculdade de Ciências e Tecnologia

Data Processing Technologies in Food Industry

Code

11749

Academic unit

Faculdade de Ciências e Tecnologia

Department

Departamento de Ciências da Terra

Credits

3.0

Teacher in charge

José António de Almeida, Sofia Verónica Trindade Barbosa

Weekly hours

4

Total hours

56

Teaching language

Português

Prerequisites

None.

Subject matter

Review of statistical analysis and probability theory. Display data with graphics. Categorical and continuous variables. Auxiliary variables. Univariate and bivariate analysis. Center position, spread, asymmetry and kurtosis. Frequencies. Correlation and similitude. Probability. Uncertainty. Random variables. Probability distribution laws. Binomial and Poisson laws. Normal distribution law. Tests of hypothesis. Monte Carlo simulation. Regression. Generalized linear models. Spatio-temporal models. Growth curves. Multivariate analysis. Principal component analysis. Hierarchical and nonhierarchical (K-means) clustering methods. Analysis of variance (ANOVA). Correspondence analysis. Spatial analysis of continuous variables and modelling. Spatial covariance and variogram. Kriging estimation and posterior validation. Introduction to R platform. Import and export data to R. Objects inside R. Graphical visualization.

Bibliography

[1] Gotelli, N.J., Ellison, A.M. (2004) A Primer Of Ecological Statistics, Sinauer Associates Inc, 511pp.

[2] McGarigal, K., Cushman, S., Stafford, S. (2000) Multivariate Statistics for Wildlife and Ecology Research, Springer, 283 pp.

[3] Plant, R.E. (2012) Spatial Data Analysis in Ecology and Agriculture Using R, CRC Press.

[4] Burkhart, H.E., Tomé, M. (2012) Modeling Forest Trees and Stands, Springer, 457pp.

[5] Isaaks, E.H., Srivastava, R.M., 1989. Applied Geostatistics. Oxford University Press, 561 pp.

Courses