About the programme
Programme summary
Find out more
Off to a good start
After graduation
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
sem 2
|
nl
|
Steven De Meester
|
4
|
|
|
|
1
|
sem 2
|
nl
|
Sergei Gusev
|
5
|
|
|
|
1
|
sem 2
|
nl
|
Sofie Verbrugge
|
6
|
|
|
|
1
|
sem 1
|
nl
|
Steven De Meester
|
3
|
|
|
|
1
|
sem 1
|
nl
|
Thomas Heugebaert
|
4
|
|
|
|
1
|
sem 2
|
nl
|
Stijn Van Hulle
|
3
|
|
|
|
1
|
sem 2
|
nl
|
Joël Hogie
|
6
|
|
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
sem 2
sem 1
|
nl
nl
|
Joël Hogie
|
6
|
|
|
|
1
|
year
|
nl,en,fr
|
Joël Hogie
|
9
|
|
Subscribe to
no less than 6 and no more than 9 credit units from the from the following list.
Subscribe to course units from Ghent University including the Ghent University Elective Courses. Subject to approval by the faculty.
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
year
|
nl
|
Stijn Van Hulle
|
20
|
|
Competence field 1: Competency in one or more scientific disciplines
- Have advanced and application-oriented knowledge, insight, skills and experience with the practices of processing renewable raw materials into foodstuffs, biofuels and sustainable chemicals and materials including optimal use of raw materials and resources and with a focus on recovery and recycling.
- Have an advanced and application-oriented understanding of advanced theories and methods for schematising and modelling processes or systems and application of these in solving problems within the fields of circular bioprocess technology.
- Mastering system complexity within the domains of circular bioprocess technology using quantitative methods.
- Independently conceive, plan and execute an engineering project at the level of a starting research professional.
- Based on the acquired discipline-specific and cross-disciplinary insight, select, adapt or if necessary develop advanced research, design and solution methods, apply them adequately and process the results scientifically and use them for new applications.
- Innovation and operation oriented design of systems, products, services and processes in an industrial context.
- Independently integrate and deepen previously acquired knowledge around circular bioprocesses for innovation and practical implementation within a professional context.
- Consciously (self-)critical and systematic acting, independently developing new skills from a research oriented and curious attitude. Being able to justify decisions, processes and positions on the basis of solution-oriented arguments within the broader social, cultural and economic context.
- Working as a member of a multidisciplinary team in a project-based way from a subject-specific context: formulating objectives, keeping an eye on the end goals and the development process, demonstrate starting leadership, fulfilling a bridging function to the workplace, operating and reporting in an international and intercultural environment.
- Communicate in writing and orally, verbally and graphically about one's own field of expertise to peers and non-experts.
- Ethical, professional, socially responsible, and entrepreneurial conduct with a focus on sustainability and technical, economic and (inter)human aspects.
- Have a social, economic and business insight to situate the contribution to a process or to the solution of a problem in the broader context of the circular economy.
- Solution-oriented formulating and analysing of complex, interdisciplinary problems within circular bioprocess technology, reducing these problems, if necessary, to manageable sub-problems, and designing implementation-oriented solutions with attention to concrete social and industrial needs.
- Acting within a subject-specific context from an engineering attitude: result-oriented, attention to planning and technical, economic and social preconditions.
- Convert specifications and preconditions into a high-quality system, product, service or process. Extract useful information from incomplete, contradictory, or redundant data.