Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
US-M2-INFOFS-005-M | Compulsory UE | GOSSELIN Bernard | F105 - Théorie des circuits et Traitement du signal |
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
Anglais | 0 | 0 | 0 | 0 | 0 | 4 | 4 |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | |
---|---|---|---|---|---|---|---|---|
I-TCTS-006 |
Objectives of general skills
- Manage large-scale software development projects.
- Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
- Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
- Manage research, development and innovation.
- Understand unprecedented problems in computer science and its applications.
- Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.
- Master communication techniques.
- Where possible, communicate in a foreign language.
- Develop and integrate a high degree of autonomy.
- Pursue further training and develop new skills independently.
- Apply scientific methodology.
- Critically reflect on the impact of IT in general, and on the contribution to projects.
- Skill 2: Have acquired professional skills in relation to the objective defining the degree.
- Specialise in at least one sub-domain of computer science.
- Integrate into a professional environment and collaborate with stakeholders on a project.
UE's Learning outcomes
develop an applied image and/or video processing system, together with a critical analysis of the problem;
understand image coding techniques (entropy coding, predictive, transform i.e. DCT, DWT), applied digital image analysis (low-level and high-level methods for denoising, segmentation,...) and video analysis and processing methods.
UE Content
low-level image processing (erosion, dilatation, …); image understanding (analysis, denoising, segmentation, watershed, active contours); video processing; image coding (entropy coding, lossless coding, predictive coding, transform coding, motion prediction); compression standards (JPEG, MPEG 1, 2, 4, 7).
Prior experience
fundamentals of signal processing (sampling and quantization) are an asset.
Term 1 for Integrated Assessment - type
- N/A
Term 1 for Integrated Assessment - comments
Not applicable
Term 2 for Integrated Assessment - type
- Oral Examination
Term 2 for Integrated Assessment - comments
Not applicable
Term 3 for Integrated Assessment - type
- Oral examination
Term 3 for Integrated Assessment - comments
Not applicable
Resit Assessment for IT - Term 1 (B1BA1) - type
- N/A
Resit Assessment for IT - Term 1 (B1BA1) - Comments
Not applicable
Type of Teaching Activity/Activities
AA | |
---|---|
I-TCTS-006 |
Mode of delivery
AA | |
---|---|
I-TCTS-006 |
Required Reading
AA | |
---|---|
I-TCTS-006 |
Required Learning Resources/Tools
AA | |
---|---|
I-TCTS-006 |
Recommended Reading
AA | |
---|---|
I-TCTS-006 |
Recommended Learning Resources/Tools
AA | |
---|---|
I-TCTS-006 |
Other Recommended Reading
AA | |
---|---|
I-TCTS-006 |