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 |
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Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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UI-M1-IRELBS-001-M | Compulsory UE | GOSSELIN Bernard | F105 - Information, Signal et Intelligence artificielle | - GOSSELIN Bernard
- MANCAS Matei
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
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| Anglais | 12 | 24 | 0 | 0 | 0 | 3 | 3.00 | 2nd term |
Objectives of Programme's Learning Outcomes
- Imagine, implement and operate systems/solutions/software to address a complex problem in the field of electrical engineering as a source of information 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).
- Based on modelling and experimentation, design one or more systems/solutions/software addressing the problem raised; evaluate them in light of various parameters of the specifications.
- Implement a chosen system/solution/software in the form of a drawing, a schema, a flowchart, an algorithm, a plan, a model, a prototype, 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 appropriately mobilise knowledge, models, methods and techniques specific to electrical engineering.
- 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.
- Master technical English in the field of electrical engineering.
- Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
- Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.
- Imagine, implement and operate systems/solutions/software to address a complex problem in the field of electrical engineering as an essential measurement and control vector in modern society by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
- Identify complex problems to be solved and develop the specifications with the client by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
- Based on modelling and experimentation, design one or more systems/solutions/software addressing the problem raised; evaluate them in light of various parameters of the specifications.
- Implement a chosen system/solution in the form of a schema, a flowchart, an algorithm, a prototype, software and/or digital model.
- Evaluate the approach and results for their adaptation (optimisation and quality).
- Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, with a focus on signals and systems, using their expertise and adaptability.
- Master and appropriately mobilise knowledge, models, methods and techniques related to the basics of electricity, electronics, automatic control, signal processing and analysis, telecommunications, hardware and software instrumentation, mathematical modelling and analysis of dynamic systems, control methods, more specific applications related to signal processing, and control of biomedical and biological systems.
- 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.
- Master technical English in the field of electrical engineering.
- Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
- Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.
Learning Outcomes of UE
develop an applied image and/or video processing system for medical applications, together with a critical analysis of the problem;
understand image representation taking into account the particularities and modalities of medical images and applied digital image analysis (low-level and high-level methods for denoising, segmentation,...) and processing methods, taking into account current usual tools in the field;
have direct contacts with actors in medical applications to have a better understanding of the applied field and constraints.
Content of UE
image processing (low-level processing, image understanding); medical image analysis (image acquisition, modalities & features);
Prior Experience
fundamentals of signal processing (sampling & quantization)
Type of Assessment for UE in Q2
Q2 UE Assessment Comments
Not applicable
Type of Assessment for UE in Q3
Q3 UE Assessment Comments
Not applicable
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-TCTS-013 | - Cours magistraux
- Travaux pratiques
- Projet sur ordinateur
- Etudes de cas
- Ateliers et projets encadrés au sein de l'établissement
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Mode of delivery
AA | Mode of delivery |
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I-TCTS-013 | |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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I-TCTS-013 | Not applicable |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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I-TCTS-013 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
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I-TCTS-013 | T. Dutoit & F. Marques, "Applied Signal Processing", Springer, 2009 |
Grade Deferrals of AAs from one year to the next
AA | Grade Deferrals of AAs from one year to the next |
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I-TCTS-013 | Authorized |
(*) 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