Objectives of Programme's Learning Outcomes

• Have acquired highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
• Manage large-scale software development projects.
• Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.

Learning Outcomes of UE

plan a workshop layout;
plan a project, with or without ressources constraints;
optimize a production workshop applying exact methods or metaheuristics;
manage an inventory;
control a MRP or Kanban policy or a supply chain;
manage dynamic programming
Attendance at theory/exercises classes of at least 80% is required.
The teaching  methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Participation at practical sessions and seminars is still mandatory.

UE Content: description and pedagogical relevance

dynamic programming;
workshop layout;
project scheduling: CPM and MPM methods; ressources and cost analysis.
production scheduling: one machine and parallel machines models; flow shop; job shop; exact methods, heuristics, metaheuristics ; case studies
inventory management;
production planification: MRP and Kanban methods;
supply chain
Attendance at theory/exercises classes of at least 80% is required.
The teaching  methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Participation at practical sessions and seminars is still mandatory.

Prior Experience

Not applicable