Objectives of Programme's Learning Outcomes

• Imagine, design, develop, and implement conceptual models and computer solutions to address complex problems including decision-making, optimisation, management and production as part of a business innovation approach by integrating changing 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).
• On the basis of modelling, design a system or a strategy addressing the problem raised; evaluate them in light of various parameters of the specifications.
• Deliver a solution selected in the form of diagrams, graphs, prototypes, software and/or digital models.
• Evaluate the approach and results for their adaptation (modularity, optimisation, quality, robustness, reliability, upgradeability, etc.).
• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out computer and management engineering missions, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques specific to computer management engineering.
• Analyse and model an innovative IT solution or a business strategy by critically selecting theories and methodological approaches (modelling, optimisation, algorithms, calculations), and taking into account multidisciplinary aspects.
• Identify and discuss possible applications of new and emerging technologies in the field of information technology and sciences and quantifying and qualifying business management.
• Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
• Define and align the project in view of its objectives, resources and constraints.
• Exploit project management principles and tools, particularly the work plan, schedule, document monitoring, versioning and software development methodologies.
• Assess the approach and achievements, regulate them in view of the observations and feedback received.
• Work effectively in teams, develop leadership, and make decisions in multidisciplinary, multicultural and international contexts.
• Interact effectively with others to carry out common projects in various contexts (multidisciplinary, multicultural, and international).
• Contribute to the management and coordination of a team that may be composed of people of different levels and disciplines.
• 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 customers, teachers and boards, both orally and in writing.
• Select and use the written and oral communication methods and materials adapted to the intended purpose and the relevant public.
• Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
• Analyse their personal functioning and adapt their professional attitudes.
• Finalise a realistic career plan in line with the realities in the field and their profile (aspirations, strengths, weaknesses, etc.).
• Contribute by researching the innovative solution of a problem in engineering sciences.
• Construct a theoretical or conceptual reference framework, formulate innovative solutions from the analysis of scientific literature, particularly in new or emerging disciplines.
• Develop and implement conceptual analysis, numerical modelling, software implementations, experimental studies and behavioural analysis.
• Collect and analyse data rigorously.
• Adequately interpret results taking into account the reference framework within which the research was developed.
• Communicate, in writing and orally, on the approach and its results in highlighting both the scientific criteria of the research conducted and the theoretical and technical innovation potential, as well as possible non-technical issues.

Learning Outcomes of UE

Machine and Deep Learning for Multimedia Retrieval:
At the end of this teaching unit, the student would be able to:
- develop methods for searching, navigation and indexing multimedia databases;
- exploit deep learning techniques for searching and indexing multimedia databases.

Cloud and Edge Computing:
At the end of this learning activity, the student will be able to:
- Manage and manipulate Cloud and Edge architectures;
- Manage the basic concepts in the field of cloud computing: SaaS, PaaS, IaaS;
- Analyze efficiently the offers of cloud providers;
- Manage the tools of applications deployment and migration in the cloud.
 

Content of UE

Content AA "Machine and Deep Learning for Multimedia Retrieval":
                                                        +
                    Content AA "Cloud and Edge Computing"
 

Prior Experience

Not applicable

Type of Assessment for UE in Q1

• Presentation and/or works

Q1 UE Assessment Comments

 Projet presentation englobing the two courses "Machine and Deep Learning for Multimdedia Retrieval" et "Cloud and Edge Computing"

Type of Assessment for UE in Q3

• Presentation and/or works

Q3 UE Assessment Comments

Idem Q1

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Néant