Objectives of Programme's Learning Outcomes

• Carry out major projects.
• Independently carry out a major project related to mathematics or mathematical applications. This entails taking into account the complexity of the project, its objectives and the resources available to carry it out.
• Give constructive criticism on the quality and progress of a project.
• Work in teams and, in particular, communicate effectively and with respect for others.
• Present the objectives and results of a project orally and in writing.
• Apply innovative methods to solve an unprecedented problem in mathematics or within its applications.
• Mobilise knowledge, and research and analyse various information sources to propose innovative solutions targeted unprecedented issues.
• Appropriately make use of computer tools, as required by developing a small programme.
• Communicate clearly.
• Communicate the results of mathematical or related fields, both orally and in writing, by adapting to the public.
• make a structured and reasoned presentation of the content and principles underlying a piece of work, mobilised skills and the conclusions it leads to.
• Adapt to different contexts.
• Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE

Keras (Python) framework for training DNNs Deep Reinforcment learning SLAM (Simultaneous Localization and Mapping) for automatic cartography

Content of UE

Four challenges to doscover AI tools

Prior Experience

Being able to use a programming language (preferably python)

Type of Assessment for UE in Q1

• Presentation and/or works

Q1 UE Assessment Comments

not applicable

Type of Assessment for UE in Q3

• Presentation and/or works

Q3 UE Assessment Comments

not applicable

Type of Resit Assessment for UE in Q1 (BAB1)

• Presentation and/or works

Q1 UE Resit Assessment Comments (BAB1)

not applicable