Objectives of Programme's Learning Outcomes

• 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.
• Assess the approach and achievements, regulate them in view of the observations and feedback received.
• Respect deadlines and timescales
• 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.
• Use and produce scientific and technical documents (reports, plans, specifications) adapted to the intended purpose and the relevant public.
• 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.

Learning Outcomes of UE

Keras (python) framework for training DNNs Deep reinforcment learning SLAM (Simultaneous localizatino and mapping) for automatic cartography

Content of UE

Four challenges to discover the tools of AI

Prior Experience

Practical knowledge of a programming language (preferably python)

Type of Assessment for UE in Q1

• Presentation and/or works

Q1 UE Assessment Comments

Challenges report, 100%

Type of Assessment for UE in Q3

• Presentation and/or works

Q3 UE Assessment Comments

same as Q1

Type of Resit Assessment for UE in Q1 (BAB1)

• Presentation and/or works

Q1 UE Resit Assessment Comments (BAB1)

not applicable