Data Analysis Tools by NTUA / UB

AIMS
This module aims to provide a basic knowledge of tools for data analysis. It includes two sub-modules, geographical information systems, and probability and statistics. The module introduces geographic information systems, their main concepts, including inter alia, data models, geographic projections, spatial analysis and quality assurance. It further provides an introduction and hands-on tutorials for a leading, commercial, GIS software (ArcGIS by ESRI).

INTENDED LEARNING OUTCOMES
1. Subject Specific Knowledge, Understanding and Skills
By the end of this module, the students should:
understand the basics of geographic information systems, incl. projection, data models and data structures, spatial analysis and interpolation, catchment delineation as well as error and quality control for geographic information.
be able to perform a range of data visualisation, querying, manipulation and analysis tasks within ArcGIS 9*, using ArcCatalog, ArcToolbox and ArcMap and the Spatial Analyst Extension.
understand basics of uncertainty and apply probabilistic and statistical concepts to quantify it;
extract probabilistic predictions and design quantities of engineering structures.
2. Core Academic Skills
By the end of this module, the students should:
improve their general scientific background and their view of spatial information and its analysis;
acquire practical experience in a state-of-art GIS software;
improve their general scientific background and their view of the natural processes;
be able to critically assess research results based on data analysis;
have acquired some practical experience of using hydrological data and modelling tools;
have acquired an understanding of the impact of solutions for civil engineering works in a global and societal context.
3. Personal and Key Skills
By the end of this module, the students should have:
improved further the necessary skills for independent learning;
enhanced report and presentation skills;
enhanced using of spreadsheets and geographical information systems (GIS);
acquired an ability to function in multi-national teams.

SYLLABUS PLAN
Introduction to GIS and the ArcGIS software
Data models and ArcGIS interfaces
Map Projections
Spatial Analysis
Catchment Delineation and ArcHydro
Advanced data structures and data types and Error and Quality Control in GIS

Start: 24 September 2012
Duration: 15 weeks
Credits: 8 ECTS
Web-link: http://www.water-msc.org/en/wrem103.htm