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).
• 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.
• 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.
• 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.
• Respect deadlines and timescales
• 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.
• 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.
• Exploit the different means available in order to inform and train independently.
• Contribute by researching the innovative solution of a problem in engineering sciences.
• Collect and analyse data rigorously.
• Adequately interpret results taking into account the reference framework within which the research was developed.

Learning Outcomes of UE

After this UE, the student will master a methodology for analysing time series and forecasting. They will be able to assess the quality of the model as well as the precision of the forecasts.

Content of UE

Content of the sole AA included in this UE

Prior Experience

Analysis of statistical data (descriptive statistics, tests and estimation, linear regression)

Type of Assessment for UE in Q1

• Presentation and works
• Written examination

Q1 UE Assessment Comments

The assessment relies upon the discussion of a report on the analysis and forecasting of a real data set and the evaluation of the student knowledge and understanding of concepts and methods. 

Type of Assessment for UE in Q2

• N/A

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

• Presentation and works
• Written examination

Q3 UE Assessment Comments

The assessment relies upon the discussion of a report on the analysis and forecasting of a real data set (if the marks obtained for that work in Term 1 were below 50%) and the evaluation of the student knowledge and understanding of concepts and methods. 

Q1 UE Resit Assessment Comments (BAB1)

Not applicable