E-MUSE
Complex microbial Ecosystems MUltiScale modElling:
mechanistic and data driven approaches integration
5th training event
Artificial Intelligence
Project and stakeholder management
Training
November 20th until November 28th
20.11.2023
09:00-10:30 Artificial neural networks
10:30-11:00 Coffee break
11:00-13:00 Artificial neural networks
13:00-14:00 Lunch break
14:00-16:00 Artificial neural networks (practical session)
Hagi Udvar és Etterem, Szeged, Kelemen Laszlo u. 3, 6720, HUNGARY
21.11.2023
09:00-10:30 Probabilistic modelling
10:30-11:00 Coffee break
11:00-13:00 Probabilistic modelling and tree-based techniques
13:00-14:00 Lunch break
14:00-16:00 Probabilistic modelling and tree-based techniques (practical session)
Hagi Udvar és Etterem, Szeged, Kelemen Laszlo u. 3, 6720, HUNGARY
22.11.2023
09:00-10:30 Reinforcement learning, model exploration, exploitation (system control)
10:30-11:00 Coffee break
11:00-13:00 Reinforcement learning, model exploration, exploitation (system control)
13:00-14:00 Lunch break
14:00-15:30 Reinforcement learning, model exploration, exploitation (system control)
15:30-16:00 Coffee break
16:00-18:00 Project and stakeholder management
Hagi Udvar és Etterem, Szeged, Kelemen Laszlo u. 3, 6720, HUNGARY
27.11.2023
09:00-10:30 Agent-based techniques (individual-based modelling, rule-based learning, cellular automata)
10:30-11:00 Coffee break
11:00-13:00 Agent-based techniques (individual-based modelling, rule-based learning, cellular automata)
13:00-14:00 Lunch break
14:00-16:00 Evolutionary algorithms (introduction to evolutionary algorithms, genetic programming)
Hagi Udvar és Etterem, Szeged, Kelemen Laszlo u. 3, 6720, HUNGARY
28.11.2023
09:00-10:30 European opportunities for postdoc students
10:30-11:00 Coffee break
11:00-13:00 Advanced topics of neural networks (transfer learning, multitask learning, word/sentence embedding, attention mechanism), support vector machines
13:00-14:00 Lunch break