Objectives of Programme's Learning Outcomes

• Understand the fundamentals of computer science
• Show an understanding and deep knowledge of the concepts of computer science and mathematical formalisms used in the field of computer science
• Solve exercises and computer problems by applying basic knowledge in the various disciplines of computer science
• Use the vocabulary and the correct mathematical reasoning to formulate and solve problems in the field of computer science
• Use and combine knowledge from different disciplines to solve multidisciplinary problems
• Manage IT projects
• Manage a project in compliance with specifications, constraints and deadlines
• Creatively implement knowledge and expertise gained in the field of computer science.
• Apply appropriate technological and scientific ICT approaches
• Demonstrate independence and their ability to work in teams.
• Understand the fundamentals related to scientific methods
• Develop skills of abstraction and modelling through a conceptual and scientific approach
• Conduct rigorous reasoning based on scientific arguments
• Give a critique and argue a point of view regarding multiple-source information and other opinions

Learning Outcomes of UE

- Model an optimization problem- Choose a suitable method to solve an optimization problem- Develop and apply optimization methods

Content of UE

This class analyzes models and methods for linear optimization problems (continuous and discrete). 

Prior Experience

Mathematics (first and second year classes)

Type of Assessment for UE in Q1

• Presentation and/or works
• Written examination

Q1 UE Assessment Comments

1 written Examen, 90% within the AA, duration : 2h; 10% project

Type of Assessment for UE in Q3

• Presentation and/or works
• Written examination

Q3 UE Assessment Comments

1 written Examen, 90% within the AA, duration : 2h; 10% project

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

no applicable