Study programme 2023-2024Français
Visual Processing and Smart Spaces
Programme component of Master's in Electrical Engineering (MONS) (day schedule) à la Faculty of Engineering

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M2-IRELEC-302-MCompulsory UEGOSSELIN BernardF105 - Information, Signal et Intelligence artificielle
  • GOSSELIN Bernard
  • MANCAS Matei

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais, Français242400044.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-ISIA-106Visual Processing and Smart Spaces2424000Q1100.00%

Programme component

Objectives of Programme's Learning Outcomes

  • Imagine, implement and operate systems/solutions/software to deal with a complex problem in the field of electricity 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).
    • On the basis of modelling and experimentation, design one or more systems / one or more solutions / one or more software and/or hardware implementations responding to the problem posed; evaluate them taking into account the various parameters of the specifications.
    • Implement a chosen system/solution/software/circuit in the form of a diagram, flow chart, algorithm, plan, model, prototype, program, software and/or digital model.
    • Evaluate the approach and results for their adaptation (tests, measurements, optimisation and quality).
  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, using their expertise and adaptability.
    • Master and mobilise knowledge, models, methods and techniques relating to the basics of electricity, electronics, automation, signal analysis and processing, telecommunications; modern electrical network engineering (production, transport, distribution); electric vehicles; advanced electronic systems; wired and wireless telecommunications; intelligent sensors; human-machine interfaces; mathematical modelling and analysis of dynamic systems; process control; image processing and processing; and the use of the Internet; advanced electronic systems; wired and wireless telecommunications; intelligent sensors; human-machine interfaces; mathematical modelling and analysis of dynamic systems; process control; image and sound processing and, more s
    • Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
    • Identify and discuss possible applications of new and emerging technologies in the field of electrical engineering.
    • Assess the validity of models and results in view of the state of science and characteristics of the problem.

Learning Outcomes of UE

develop an applied video processing system, together with a critical analysis of the problem;
apply image analysis and segmentation techniques develop visual man-machine interfaces

UE Content: description and pedagogical relevance

Image understanding and video processing Smart Spaces: Attention Analysis, Motion Capture, Interractions

Prior Experience

fundamentals of signal processing (sampling and quantization).

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-ISIA-106
  • Cours magistraux
  • Travaux pratiques
  • Projet sur ordinateur
  • Etudes de cas

Mode of delivery

AAMode of delivery
I-ISIA-106
  • Hybrid

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-ISIA-106Not applicable

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-ISIA-106Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-ISIA-106Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-ISIA-106Authorized

Term 1 Assessment - type

AAType(s) and mode(s) of Q1 assessment
I-ISIA-106
  • Oral examination - Face-to-face
  • Oral presentation - Face-to-face

Term 1 Assessment - comments

AATerm 1 Assessment - comments
I-ISIA-106 1 Examen(s) oral(aux) ,80% de la note d'AA ,durée : 4h;  1 Présentation(s) finale(s) de Projet/Travail personnel ,20% de la note d'AA ,durée: 4h; 

Resit Assessment - Term 1 (B1BA1) - type

AAType(s) and mode(s) of Q1 resit assessment (BAB1)
I-ISIA-106
  • N/A - Néant

Term 3 Assessment - type

AAType(s) and mode(s) of Q3 assessment
I-ISIA-106
  • Oral examination - Face-to-face

Term 3 Assessment - comments

AATerm 3 Assessment - comments
I-ISIA-106  1 Examen(s) oral(aux) ,100% de la note d'AA ,durée:4h;
(*) 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 dernière mise à jour de la fiche ECTS par l'enseignant : 09/05/2023
Date de dernière génération automatique de la page : 27/04/2024
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be