Title of the BIP Introduction to Mathematical and Computational Modelling for Sustainability | ||
Hosting University | Virtual Period start: 6th May 2024 | Virtual Period end: 21st June 2024 |
In-presence Period start: 24th June 2024 | In-presence Period end: 28th June 2024 | |
Language of teaching: English B1 | ||
ECTS credits: 6 | ||
Number of participants: TBA | ||
Study level required: Masters or Doctoral level applicants. | ||
Selection criteria: TBA | Contacts: Prof. Radu Cătălin Țarcă (University of Oradea) | |
Programme description
This 6-ECTS BIP will introduce mathematical and computational modelling techniques for application in developing understanding and supporting sustainable decision making in health, environmental, societal, and industrial systems. The programme is designed for students at the Masters or Doctoral level who wish to develop these skills for application in research projects aligned to the EU Green research themes.
This programme prioritizes high-level strategic thinking in the design and analysis of modelling paradigms and how they can be applied for effective decision making. Interpersonal skills together with technical skills are central to the learning outcomes.
Aims:
Develop familiarity with fundamental approaches to mathematical and computational modelling methods, techniques, and tools, including Differential Equations, Machine Learning/AI, Finite difference/element/volume method, Cellular Automata and Optimization Algorithms.
Develop awareness of which methods may be suitable for different types of research problems along with the potential benefits, challenges, and limitations of each approach.
Develop skills in application of these methods to real-world multidisciplinary research problems aligned to the EU Green themes – Develop student transferable skills in group working and communication.
Help to create a culture of international and cross-disciplined collaboration in postgraduate research at the EU Green institutions.
Postgraduate students will develop skills in translating broad-ranging real-world problems in a mathematical/computational framework and be familiar with fundamental tools in analyzing models for problem solving, particularly in the context of sustainability. Students can be from any discipline but should normally have completed at least 5 ECTS relevant to Mathematics/Statistics at undergraduate level.
The programme will focus on familiarity with different methods, their potential applications and their limitations and will enable students to select specific topics for further in-depth study. The programme will consist of 9 x 2hr online weekly sessions and a week-long in-person summer school at the University of Oradea. The teaching will be delivered by different academic staff from ATU, HiG, Oradea, Evora and Angers. The summer school will comprise hands-on workshops, student presentations, and participation in a group project as well as social/networking opportunities. Students will select an individual project related to their own research domain with support from the academic staff.
The project should typically comprise either:
a high-level review of modelling relevant to the student’s research topic or
some preliminary modelling work relevant to the student’s research topic.