General
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Students mustMark as done
Dear students,
On Wednesday, 27.11.2024, and all following lectures we will continue with the lectures and excercises in our Artificial Intelligence courses as usual (not any online meetings).
We meet as plant in building 20 - room 211
8:00 - 9:30 Uhr
V Cognitive and object-oriented modeling - under uncertainties in knowledge and data - as aspects of a
Rechnerraum 20-211and
9:45 - 11:15 Uhr
V Artificial intelligence in applications. Modeling, Machine Learning and Data Classifier Performance
Rechnerraum 20-211See you on Wednesday, in C1/20-211 !
Prof. Dr. Galia Weidl
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Students mustMark as done
Plan for the students' presentations in WiSe2024/25:
You can select a topic from the list of available topics/materials or you can search for new materials and/or you can prepare your own example.
The dates are tentative for the presentation in the class.
We can decide to shift them all by 1-2 weeks later. Everyone should have one presentation in the class.
First, you do the presentation (20 min) and then we model (15-20 min) together with everyone in the class the model you have presented.
The oral exams for everyone will be probably on 21/22.01.2025, after we get an official booking from the dean office.
Prof. Galia Weidl
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If you prefer to prepare your own application: How can this presentation be arranged?
If you chose a topic (e.g. a small real application) where you need to prepare the (e.g. found from internet) data for learning of the probabilities of your model, so you can split the work into two:- one student can work on the structure of the model and collect all information necessary to build the structure ( graph of the network)
- second student will then learn from data the probabilities for the created structure.In the class I will show you with one automotive example (maneuver recognition for cars) how this can be done. And then you can do it in a similar way.
Where to find data?
My PhD students will show you (in the comming classes, im November/December) some web-pages, where you can find data to build your application. -
Students mustMark as done
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:
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.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
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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 -
Please book your time slot for the exam in January 2025 here:
https://moodle.th-ab.de/course/view.php?id=7293
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To allow booking, you need first to subscribe to the moodle pageExam Planning (Galia Weidl)
Einschreibeschlüssel: AI_MyChoice1
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This is the exam planning (oral presentation) for both courses:Course 7525: Cognitive and object-oriented modeling under uncertainties as aspects of artificial intelligence in practical applications
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Course 7540: Artificial intelligence in applications. Modeling, Machine Learning and Data Classifier Performance
Please select in (Prüfung) Planer one time slot (Zeitfenster) of 15min if you are taking just one course
or 2 time slots together 30 min (in case you have 2 x 15 min) for your oral presentationTuesday AFTERNOON (21.01.2025 in Campus C3/Room 107,
Exam time 14:00 - 19:00,
OR on
Wednesday (22.01.2025), 08:00 - 18:00, in Campus C1/Building 04/Room 203
Exam time 08:00 - 17:00I wish you a lot of success with your exam!
Danke & Viele Grüße / Many thanks & Best regards,
Galia Weidl
Prof. Dr. Galia Weidl
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Students mustMark as done
Dear Students,
The lecture & excercises on Wednesday, December, 4th. will be given by my PhD Students.
If you have questions about where to get some data for your model and how to prepare the data for learning the parameters of your model, you can ask them to help you.
Best regards,
Galia Weidl