Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|
UI-M1-IRELEC-371-M | Compulsory UE | GOSSELIN Bernard | F105 - Information, Signal et Intelligence artificielle | - GOSSELIN Bernard
- MANCAS Matei
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|
| Anglais, Français | 16 | 20 | 0 | 0 | 0 | 3 | 3.00 | 2nd term |
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.
- 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 collaborators, clients, teachers and boards, both orally and in writing.
Learning Outcomes of UE
develop image processing techniques, together with a critical analysis of the problem;
apply image coding, analysis, segmentation and feature extraction techniques
apply classification and machine learning techniques (deep learning)
UE Content: description and pedagogical relevance
Image Processing, Image acquisition; lowlevel processing, filtering, transforms; image segmentation and registration;
Image Coding, Deep Learning
Prior Experience
fundamentals of signal processing; probability and statistics
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-ISIA-005 | - Cours magistraux
- Travaux pratiques
- Projet sur ordinateur
- Etudes de cas
|
Mode of delivery
AA | Mode of delivery |
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I-ISIA-005 | |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
---|
I-ISIA-005 | Not applicable |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
---|
I-ISIA-005 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
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I-ISIA-005 | Not applicable |
Grade Deferrals of AAs from one year to the next
AA | Grade Deferrals of AAs from one year to the next |
---|
I-ISIA-005 | Authorized |
Term 2 Assessment - type
AA | Type(s) and mode(s) of Q2 assessment |
---|
I-ISIA-005 | - Oral examination - Face-to-face
|
Term 2 Assessment - comments
AA | Term 2 Assessment - comments |
---|
I-ISIA-005 | Oral exam with written preparation time, without course material |
Term 3 Assessment - type
AA | Type(s) and mode(s) of Q3 assessment |
---|
I-ISIA-005 | - Oral examination - Face-to-face
|
Term 3 Assessment - comments
AA | Term 3 Assessment - comments |
---|
I-ISIA-005 | Oral exam with written preparation time, without course material |
(*) 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