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.
• Apply scientific methodology.
• Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE

At the end of the class the students will be able to understand and explain the main concepts and methods of decision support, as well as to apply the methodologies studied in practical applications, with the help of software tools.(For details, see the AA contents)

Content of UE

multiple criteria decision aiding (multi-criteria problems, discussion of the weighted sum, additive value functions, outranking methods, decision under uncertainty and risk); multi-objective optimization (general concepts and tools, multiple objective linear programming and combinatorial optimization); treatment of uncertainty (fuzzy sets, fuzzy logic, possibilistic or flexible mathematical programming).

Prior Experience

Not applicable

Type of Assessment for UE in Q1

• N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

• Presentation and works
• Written examination

Q2 UE Assessment Comments

Written examination on the 3 parts of the course (65% of the global mark). The exam consists firstly of questions that aim at testing the student's knowledge of the definitions, methods and results. Other questions test the understanding of the methods and notions by solving simple exercises which are direct applications of these notions and methods. 
For part 1, students must also realise a personal work which consists of describing and handling a decision case of their choice (35% of the global mark).

Type of Assessment for UE in Q3

• Presentation and works
• Written examination

Q3 UE Assessment Comments

The poll method and the weights are identical to those used in the first session.
If project has not received marks above 50%, it must be improved.

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable