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)
Mix of face-to-face and distance learning and reverse classes
Recommended or required readings
Assessment methods and criteria
Continuous evaluation (100%)
Work placement(s)
Organizational remarks
Contacts
Th. Dogot
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
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
For theoretical lessons: videos and commented PowerPoint presentations will be available on eCampus before the scheduled lesson sessions during which interactive sessions (collaborate tool) will be organized to answer questions.
For practical work: exercises will be provided on eCampus and their correction will be available in the form of videos or commented PowerPoint presentations after the scheduled lesson sessions.
All useful information can be found on e-campus.
Assessment subjects
Assessment subjects for the evaluation covers the 8 chapters of the module as presented on eCampus. The content has been adapted to take into account that the teaching period is reduced to 4 weeks instead of 5.
All useful information can be found on eCampus.
Assessment methods
The principles of continuous assessment are maintained. There will therefore be no exam during the June session. The evaluation is based, on the one hand, on reports whose deadlines will be specified on eCampus and, on the other hand, on synthesis exercises organized during e-learning sessions whose schedule will also be specified on eCampus.
All useful information can be found on eCampus.
Contacts
Th. Dogot
thomas.dogot@uliege.be
C. Charles
c.charles@uliege.be
Y. Brostaux
y.brostaux@uliege.be
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
No change.
Assessment methods
No change.
Contacts
thomas.dogot@uliege.be