Objectives of Programme's Learning Outcomes

• Imagine, design, carry out and implement projects and solutions to address a complex problem in the fields of geology and mining engineering by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
• Identify complex problems to be solved and formulate the specifications by integrating client needs, contexts and issues (technical, economic, societal, ethical and environmental).
• Implement a selected solution in the form of a drawing, a pattern, a plan, a model, a prototype, software and/or a digital model.
• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out geology and mining engineering missions, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques relating to geology, applied mineralogy, applied petrography, hydrogeology and the study of flows underground, applied geophysics, geology with information technology, geostatistics, research and the evaluation of deposits of mineral and energy materials, rock mechanics and rock masses related to mining engineering, planning and exploitation of mineral and energy resources, development of minerals and waste, characterisation, management and treatment of polluted sites, natural hazards and environmental problems.
• Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
• Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
• Exploit the different means available in order to inform and train independently.

Learning Outcomes of UE

master and explain the fundamental notions and apply associated methods in geoscientific data manipulation et numerical processing, 3D geological modelling and linear geostatistics; acquire a self-learning attitude to solve problems using deductive reasoning, basic knowledge and external documentary sources.

Content of UE

lectures : introduction to geoscientific data manipulation and processing; elements of linear geostatistics; introduction to 3D geological modelling

exercises and laboratory work : introduction to digital data formats and tools for geoscientific data manipulation (Python and R), processing; determine variograms and use kriging and co-kriging on a real datasets and 3D geological modelling.

Prior Experience

notions in geomatics and statistics

Type of Assessment for UE in Q1

• Oral examination

Q1 UE Assessment Comments

Oral examination during the regular examination period without class notes or laboratory notes. Evaluation on all of the material.

Each student draws a card with two questions. The first question deals with knowledge and understanding of notions explained during the lectures, exercises and laboratory works. Each student gives a presentation on his answer (prior written preparation of maximum 30 minutes) and replies to oral questions on this presentation.

The second question is a "hands-on" exercise. The student has to solve the problem with the softwares used during the exercises and laboratory works.

Evaluation : laboratory work tests, 20% of the mark; exam 1st question, 50% of the mark; exam 2nd question, 30% of the mark.

Type of Assessment for UE in Q3

• Oral examination

Q3 UE Assessment Comments

Oral examination during the regular examination period without class notes or laboratory notes. Evaluation on all of the material.

Each student draws a card with two questions. The first question deals with knowledge and understanding of notions explained during the lectures, exercises and laboratory works. Each student gives a presentation on his answer (prior written preparation of maximum 30 minutes) and replies to oral questions on this presentation.

The second question is a "hands-on" exercise. The student has to solve the problem with the softwares used during the exercises and laboratory works.

Evaluation : exam 1st question, 70% of the mark; exam 2nd question, 30% of the mark.

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable