Duration
30h Th, 24h Pr, 6h AUTR
Number of credits
| Master in agricultural bioengineering (120 ECTS) | 6 crédits |
Lecturer
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The "Economic Decision Support" module is structured in 3 complementary parts aimed at exploiting data and designing models to analyze and optimize complex systems but also to simulate their reaction to changes in their internal configuration or their external environment.
The scope is strategic management where decision-making processes involve many technical, economic, environmental and social parameters and constraints.
The teaching activities are organized around the following 3 axes:
1 / Research and presentation of econometric data
2 / Operational research
Presentation of tools to rationalize, simulate, optimize, plan the architecture and the functioning of the systems.
3 / Modeling and prediction of temporal data
Learning outcomes of the learning unit
At the end of the course, the student must be able to:
- Establish rational bases for strategic management decision-making for the purpose of control or optimization (improving efficiency, lowering costs, establishing investment choices, etc.).
- Understand the temporal evolution of datasets in order to establish short-term predictions.
The course helps develop students' skills in the following stages of development:
- Optimize an existing system based on multiple objectives, defined in terms of sustainability, resilience and integration.
- Design a decision support tool taking into account technical and / or environmental and / or economic constraints in response to a bioengineering problem
Prerequisite knowledge and skills
Basic concepts in economics, statistical inference, mathematics and computer science
Planned learning activities and teaching methods
Lectures: 27 h
Exercises: 27 h
Personal works
Mode of delivery (face to face, distance learning, hybrid learning)
Blended learning
Additional information:
Mix of face-to-face and distance learning and reverse classes
Recommended or required readings
Written work / report
Continuous assessment
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Th. Dogot (Coord.)
thomas.dogot@uliege.be
+32 (0)81 62 23 64
C. Charles
c.charles@uliege.be
+ 31 (0)81 62.24.53
Y. Brostaux
y.brostaux@uliege.be
+ 32 (0)81 62.24.69