Study programme 2019-2020Français
Geospatial Data Management and Analysis. Principles and applications
Programme component of Master's in Mechanical Engineering à la Faculty of Engineering

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M2-IRMECA-562-MOptional UEKAUFMANN OlivierF401 - Géologie fondamentale et appliquée
  • KAUFMANN Olivier

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais124800055.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-GEOL-200Geospatial Data Management and Analysis. Principles and applications1248000Q1100.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Imagine, design, carry out and operate solutions (machines, equipment, processes, systems and units) to provide a solution to a complex problem by integrating needs, constraints, context and technical, economic, societal, ethical and environmental issues.
    • Identify complex problems to be solved and develop the specifications by integrating needs, contexts and technical, economic, societal, ethical and environmental issues.
    • Optimally design and calculate the dimensions of machinery, equipment, processes, systems or units, based on state of the art, a study or model, addressing the problem raised; evaluate them in light of various parameters of the specifications.
    • Implement a chosen solution in the form of a drawing, a schema, a diagram or a plan that complies with standards, a model, a prototype, software and/or digital model
    • Evaluate the approach and results for their adaptation or optimisation of the proposed solution.
  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out mechanical engineering missions, using their expertise and adaptability.
    • Study a machine, equipment, system, method or device by critically selecting theories and methodological approaches, and taking into account multidisciplinary aspects.
  • Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
    • Define and align the project in view of its objectives, resources and constraints.
    • Exploit project management principles and tools, particularly the work plan, schedule, and the document monitoring.
    • Assess the approach and achievements, adapt them in view of the observations and feedback received, make necessary adjustments and corrections.
    • Respect deadlines and the work plan, and adhere to specifications.
  • Work effectively in teams, develop leadership, make decisions in multidisciplinary, multicultural, and international contexts.
    • Interact effectively with others to carry out common projects in various contexts (multidisciplinary, multicultural, and international).
    • Contribute to the management and coordination of a team that may be composed of people of different levels and disciplines.
  • Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
    • Argue to and persuade clients, colleagues, teachers and boards, both orally and in writing.
    • Select and use written communication methods and materials, graphically or orally, adapted to the intended purpose and the relevant public.
    • Use and produce scientific and technical documents (reports, plans, specifications, etc.) adapted to the intended purpose and the relevant public.
  • 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

cf. AA

Content of UE

cf. AA

Prior Experience

Data Structures and Algorithms; A programming language.

Type of Assessment for UE in Q1

  • Presentation and/or works

Q1 UE Assessment Comments

Ongoing evaluation: 25% Written report and presentation of the project and debriefing on the teamwork: 75%

Type of Assessment for UE in Q3

  • Presentation and/or works

Q3 UE Assessment Comments

Written report and presentation of the project: 100%

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Void

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-GEOL-200
  • Cours magistraux
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-GEOL-200
  • Face to face

Required Reading

AA
I-GEOL-200

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-GEOL-200Not applicable

Recommended Reading

AA
I-GEOL-200

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-GEOL-200Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-GEOL-200Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-GEOL-200Unauthorized
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 13/07/2020
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