Specific objectives Knowledge and understanding: During the module, students will learn about graphical representations of numerical data, descriptive statistics and summaries of single variables; the normal distribution; statistical inference; some measures of association between two variables and ways to explore relationships between numeric variables using correlation and regression. Having completed this module, you will be able to demonstrate knowledge and understanding of: - Numerical and statistical description of single variables; - Statistical inference and significance; - The normal distribution and sampling; - Correlation and regression. Ability to apply knowledge and understanding: Having completed this module you will be able to: - Understand some key statistical concepts; - Express archaeological questions in quantitative ways; - Evaluate, describe and analyse archaeological datasets. Critical and judgmental capacities: The student will develop critical and judgmental skills by analysing case studies and defining appropriate statistical methods for archaeological studies. These skills will be developed through interaction with the lecturer during the course and through the preparation of a review. Communication skills: The student will be asked to interact in the analysis of the case studies and during the lessons for the identification of the appropriate statistical tools and methods for archaeological studies. Learning skills Having completed this module you will be able to: - Work effectively with functions and expressions in spreadsheets; - Describe archaeological quantitative data using graphs; - Perform simple standard statistical tests for association and significance; - Perform correlation and regression analyses; - Use a computer to undertake the numerical analysis. Syllabus The syllabus introduces a range of basic quantitative and statistical methods including: - Measurement levels and graphical summaries of numerical variables – 2 Hours; - Descriptive statistics and numerical summaries of single variables – 2 Hours; - Statistical inference, measures of association, the chi-squared and Kolmogorov-Smirnov tests, Normal and t distributions, confidence intervals and sampling – 3 Hours; - Studying relationships between numeric variables using correlation and linear e non-linear regressions – 4 Hours; - Statistical inference and some simple measures of association between two variables, 1-2 ways and Factorial ANOVA - 7 Hours; - Introduction to multiple (linear and non-linear) regression modelling and some applications of multivariate methods (Cluster analysis, Factor analysis, Principal Components and classification analysis) – 6 Hours. - Statistics in archaeology: Applications and case studies - 6 Hours.

- Teaching materials, including handouts, thematic websites and scientific articles will be distributed in class.

Specific objectives Knowledge and understanding: The student will acquire the knowledge and understanding of theoretical issues in archeological GIS as well as criteria for selecting the most appropriate methods for the various applications. Ability to apply knowledge and understanding: The student will acquire the ability to apply the Geographic Information System tools to support archaeological case studies. Critical and judgmental capacities:The student will develop critical and judgmental skills by analyzing case studies and defining appropriate GIS methods for archaeological studies. These skills will be developed through interaction with the lecturer during the course and through the preparation of a review. Communication skills: The student will be asked to interact in the analysis of the case studies and during the lessons for the identification of the appropriate GIS tools and methods for archaeological studies. Learning skills: The student will acquire the theoretical and practical ability to apply the GIS tools and methods for archaeological studies so as to be able to replicate it to real case studies and for the formulation of project proposals. Syllabus Introduction - Introduction to Geographical information System. Thematic cartography models and examples of the representation of discrete and continuous phenomena. 5 Hours - Hardware and Software. Computers, scanners, plotters. Open source and commercial GIS. 5 Hours Laboratory - Digital geographic data: vector and raster data. Attributes and databases. The Geodatabase. Design of a database. Cataloging and metadata. 2 Hours - Geo-referencing. Datum, coordinate systems and cartographic projections. 4 Hours - Data acquisition. Airborne and satellite remote sensing. Global Positioning System. 4 Hours - Data analysis. Spatial and attribute analysis.4 Hours - Representation of data. Charts. Symbologies and Layout 2 Hours Review - GIS in archaeology: Applications and case studies. 4 Hours Structure of the course The course is structured in three phases: - theoretical part to analyze concepts, issues and the structure of Geographic Information Systems (10 hours) - laboratory where to show the main GIS functionalities (16 hours) - the revision of case studies on GIS in archaeology (4 hours)

Study material - Conolly, J. and Lake, M., 2006. Geographical information systems in archaeology. Cambridge University Press. - Moreover, teaching materials, including handouts, thematic websites and scientific articles will be distributed in class.