Dear EMBA 64 students,
welcome to our elective course Coding und Künstliche Intelligenz, taught by Prof. Dr. Damian Borth and Prof. Dr. Barbara Weber. In this course, lectures and hands-on lab courses alternate to provide a better learning experience. Lab course materials for Python programming, Machine Learning und Deep Learning are available in and accessible through this repository.
Please use a laptop computer for the lab courses (not a tablet) to be able to fully participate in the exercises.
Happy Coding!
Your EMBA teaching team
This table lists all coding lab notebooks and exercise notebooks:
| Date | Topic | Lab Notebook | Exercise Notebook | Solution Notebook |
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| < Mon, Apr 8 | Prerequisite | - |   |
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| Mon, Apr 8 | Python 101: Jupyter Notebooks and Python Basics | |
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| Tue, Apr 9, morning session | Python 102: Numerical Math & Images | |
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| Tue, Apr 9, afternoon session | Machine Learning I (Naive Bayes) |
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| Tue, Apr 9, afternoon session | Machine Learning II (k Nearest-Neighbors) |
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| Wed, Apr 10, morning session | Deep Learning I (Artificial Neural Nets) |
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| Wed, Apr 10, afternoon session | Deep Learning II (Convolutional Neural Nets) |
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| Thu, Apr 11, morning session | Using ML APIs with Python (Google Cloud Vision, Open AI) |
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| Thu, Apr 11, afternoon session | Using Language Models with Python (Transformers and Difussors Library) |
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| Sun, May 12 | Exam Exercise | - | |
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