Objectives of Programme's Learning Outcomes

• Implement an engineering approach dealing with a set problem taking into account technical, economic and environmental constraints
• Design, evaluate and optimise solutions addressing the problem
• Identify and acquire the information and skills needed to solve the problem
• Understand the theoretical and methodological fundamentals in science and engineering to solve problems involving these disciplines
• Identify, describe and explain basic scientific and mathematical principles
• Identify, describe and explain the basic principles of engineering particularly in their specialising field
• Understand laboratory techniques: testing, measuring, monitoring protocol, and security
• Understand the fundamentals of project management to carry out a set project, individually or as part of a team
• Ensure a project is tracked and documented according to its specifications
• Respect deadlines and timescales
• Collaborate, work in a team
• Interact effectively with other students to carry out collaborative projects.
• Communicate in a structured way - both orally and in writing, in French and English - giving clear, accurate, reasoned information
• Present analysis or experiment results in laboratory reports
• Demonstrate thoroughness and independence throughout their studies
• Direct their choice of modules within their degree programme in order to develop a career plan in line with the realities in the field and their profile (aspirations, strengths, weaknesses, etc.)
• Develop their scientific curiosity and open-mindedness
• Learn to use various resources made available to inform and train independently

Learning Outcomes of UE

UE composes of 2 AAs :
  -  I-ILIA-028 : AA "Introduction to Artificial Intelligence and Intelligents Agents" 
  -  I-ILIA-029 : AA "Deep Learning"

UE Content: description and pedagogical relevance

  -  I-ILIA-028 : AA "Introduction to Artificial Intelligence and Intelligents Agents" 
  -  I-ILIA-029 : AA "Deep Learning"

Prior Experience

Not applicable

Type(s) and mode(s) of Q2 UE assessment

• Written examination - Face-to-face
• Production (written work, report, essay, collection, product, etc.) - To be submitted in class
• Oral presentation - Face-to-face

Q2 UE Assessment Comments

One exam for all the teaching unit :
- Written exam (50%)
- Oral presentation related to the Deep Learning project (50%)

Type(s) and mode(s) of Q3 UE assessment

• Written examination - Face-to-face
• Production (written work, report, essay, collection, product, etc.) - To be submitted in class
• Oral presentation - Face-to-face

Q3 UE Assessment Comments

idem Q1