WiSe2425_ArtIntApp_SU_Weidl: _Course 7540: Artificial intelligence in applications. Modeling, Machine Learning and Data Classifier Performance

_Course 7540: Artificial intelligence in applications. Modeling, Machine Learning and Data Classifier Performance

Schedule every Wednesday, 9:45 - 11:15

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General Information: each course has 2 ECTS, according the the following structure:

7525: Cognitive and Object-Oriented Modeling Under Uncertainties as Aspects of Artificial Intelligence in Practical Applications. (=2 ECTs)

7540: Artificial intelligence in applications. Modeling, Machine Learning and Data Classifier Performance.(=2 ECTs)

Your personal contribution will be organized as follows:

choose a topic/problem you would like to model with Bayesian Networks
do the correspondiing study of related publications on the topic of your choice (this will be the background for the development of your model),
Modelling: choose a model from the literature to present OR develop your own model, according to the modeling princiles we have learned in the course 7525 (= 2 ECTs)
search for open source data on your topic in order to learn the parameters of the model (Maschine Learning as we will learn in course 7540) = 2 ECTS
For the final exam: 20 min presentation of a model of your choice and answer questions (listed in moodle) - for each course

Only for the incoming students:

In case you prefer to participate only in 7525 or only in 7540:

In each course 7525 or 7540: give 20 min presentation on Modelling and 15 min modeling uin the class together, so that everyone can reproduce the model you developed.

For participants in both courses, you will have in each course:

course 7525: 20 min presentation on Modelling and 15 min modeling together, so that everyone can reproduce the model you developed.

course 7540: 20 min on Learning with Data for the model you have developed

The exam for eah course will consist of 15 min presentation on the selected subject and covers the questions which will be given in the class.
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Note for the incoming students:
International Office – Incoming Coordinator: Carina Blaeser
Aschaffenburg University of Applied Sciences
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I wish everyone a lot of success!
Prof. Dr. Galia Weidl

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