Study programme 2023-2024 | Français | ||
AI for Multimedia and Language Processing | |||
Programme component of Master's in Computer Engineering and Management (MONS) (day schedule) à la Faculty of Engineering |
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
UI-M2-IRIGIG-203-M | Compulsory UE | DUPONT Stéphane |
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
| Anglais, Français, Anglais, Français | 30 | 30 | 0 | 0 | 0 | 5 | 5.00 | 2nd term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
I-ILIA-014 | Machine & Deep Learning for Multimedia Retrieval | 12 | 12 | 0 | 0 | 0 | Q2 | 40.00% |
S-INFO-810 | Deep Learning for Natural Language and Sequence Processing | 18 | 18 | 0 | 0 | 0 | Q2 | 60.00% |
Programme component |
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Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
At the end of this course, the student should have acquired theoretical knowledge and practical skills related to one of the major paradigms of AI, "deep learning", and in particular its applications in processing. natural language, and those within the framework of multimedia search engines.
He/she should:
- know some of the most recent machine learning methods,
- be able to implement complex artificial neural networks,
- know how to use generic software libraries for deep learning,
- know the major applications of artificial intelligence to natural language,
- develop methods for searching, browsing and indexing multimedia databases,
- exploit deep learning techniques for searching and indexing multimedia databases,
- exploit dimensionality reduction techniques for search engines.
UE Content: description and pedagogical relevance
The UE is made up of two AAs:
- one which covers the following subjects: indexing techniques allowing navigation and search in multimedia databases; methods of visual indexing by content; search methods using invariant descriptors, and their applications; management and annotation of large multimedia databases; feature extraction by convolutional neural networks.
- the other which covers: the various applications of natural language processing (chatbots, automatic translation, information extraction, generative models, etc.); recurrent neural networks; transformers neural networks and attention models.
More details on the content are given in the ECTS sheets of these AAs.
Prior Experience
Not applicable
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
---|---|
I-ILIA-014 |
|
S-INFO-810 |
|
Mode of delivery
AA | Mode of delivery |
---|---|
I-ILIA-014 |
|
S-INFO-810 |
|
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
---|---|
I-ILIA-014 | Not applicable |
S-INFO-810 | All learning resources and tools required for this cours are available via Moodle, the online e-learning platform of UMONS. |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
---|---|
I-ILIA-014 | Not applicable |
S-INFO-810 | Additional recommended material is also accessible through Moodle, the online e-learning platform of UMONS. |
Other Recommended Reading
AA | Other Recommended Reading |
---|---|
I-ILIA-014 | Not applicable |
S-INFO-810 | Not applicable |
Grade Deferrals of AAs from one year to the next
AA | Grade Deferrals of AAs from one year to the next |
---|---|
I-ILIA-014 | Unauthorized |
S-INFO-810 | Unauthorized |
Term 2 Assessment - type
AA | Type(s) and mode(s) of Q2 assessment |
---|---|
I-ILIA-014 |
|
S-INFO-810 |
|
Term 2 Assessment - comments
AA | Term 2 Assessment - comments |
---|---|
I-ILIA-014 | Oral presentation of project related to the develoment of multimedia retrieval engine |
S-INFO-810 | Cfr. types and modes of assessment. |
Term 3 Assessment - type
AA | Type(s) and mode(s) of Q3 assessment |
---|---|
I-ILIA-014 |
|
S-INFO-810 |
|
Term 3 Assessment - comments
AA | Term 3 Assessment - comments |
---|---|
I-ILIA-014 | Idem Q2 |
S-INFO-810 | Cfr. types and modes of assessment. |