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).
• 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.
• 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.
• Assess the validity of models and results in view of the state of science and characteristics of the problem.
• 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.
• 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.
• Make decisions, individually or collectively, taking into account the parameters involved (human, technical, economic, societal, ethical and environmental).
• 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.
• Use and produce scientific and technical documents (reports, plans, specifications) 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.).
• Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.
• Exploit the different means available in order to inform and train independently.
• 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.
• 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

At the end of this teaching unit, the student would be able to:
- develop methods for searching and indexing multimedia databases;
- exploit deep learning techniques for searching and indexing multimedia databases.
- Accelerate and optimize calculations by developing parallel and distributed algorithms
- Exploit eficiently the new high-performance computing architectures (Multi-CPU / Multi-GPU)

Content of UE

- Methods of analysis, description and annotation of large multimedia databases;
- Multimedia Indexation and research methods ;
- Features extraction using convolutional neural networks (CNN);
- Performance evaluation methods (recall, precision, calculation time, energy consumption, etc.).
- Optimization technics for exploiting multiple resources in parallel (CPUs, GPUs, cluster, etc.)
- Tools for efficient exploitation of high-performance computing resources (Multi-CPU / Multi-GPU)

Prior Experience

Not applicable

Type of Assessment for UE in Q1

• Presentation and/or works
• Oral examination

Q1 UE Assessment Comments

MIR : Presentation and/or works
HPC : oral exam

Type of Assessment for UE in Q3

• Presentation and/or works
• Oral examination

Q3 UE Assessment Comments

Idem Q1

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable