Objectives of Programme's Learning Outcomes

• Implement an engineering approach dealing with a set problem taking into account technical, economic and environmental constraints
• Identify and describe the problem to be solved and the functional need (of prospective clients) to be met considering the state of technology
• Design, evaluate and optimise solutions addressing the problem
• Implement a chosen solution in the form of a drawing, a schema, a plan, a model, a prototype, software and/or digital model
• Identify and acquire the information and skills needed to solve the problem
• Understand the theoretical and methodological fundamentals in science and engineering to solve problems involving these disciplines
• Identify, describe and explain basic scientific and mathematical principles
• Identify, describe and explain the basic principles of engineering particularly in their specialising field
• Select and rigorously apply knowledge, tools and methods in sciences and engineering to solve problems involving these disciplines
• Communicate in a structured way - both orally and in writing, in French and English - giving clear, accurate, reasoned information
• Argue to and persuade customers, teachers and a board both orally and in writing
• Demonstrate thoroughness and independence throughout their studies
• Demonstrate self-awareness, asses themself, and develop appropriate learning strategies.
• Learn to use various resources made available to inform and train independently

Learning Outcomes of UE

Master and explain the fundamental notions needed to use databases and address geomatic problems; implement these notions in the software (Geographical Information Systems, Specialized software libraries...) used in the course; acquire a self-learning attitude to solve problems using deductive reasoning and basic knowledge.

UE Content: description and pedagogical relevance

lectures : - introduction to relational databases; - introduction to Geographical Information Systems; - introduction to geoprocessing using Python. exercises : - hands-on introduction to RDBMS : introduction to relational database design and SQL request writing; - hands-on introduction to Geographical Information Systems and geoprocessing using Python: spatial reference systems : definition, transforms, on the fly reprojection; data sources : common formats, geodata servers; raster datasets : data coding, representation, georeferencing, use Digital Elevation Models; vector datasets : link to data source (databases), data coding, symbology, selection operations, basic geoprocessing operations, topologic and non-topologic editing; Input of field data. The lectures, exercises and practical sessions are illustrated with examples from the earth and environmental sciences.

Prior Experience

Not applicable