Dear IEMBA 10 / 11 students,
welcome to our elective course Coding and Artificial Intelligence, 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 and let's have fun!
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, Jan 22 | Prerequisite | - |   |
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| Mon, Jan 22 | Python 101: Jupyter Notebooks and Python Basics | |
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| Tue, Jan 23, morning session | Python 102: Numerical Math & Images | |
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| Tue, Jan 23, afternoon session | Machine Learning I (Naive Bayes) |
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| Tue, Jan 23, afternoon session | Machine Learning II (k Nearest-Neighbors) |
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| Wed, Jan 24, morning session | Deep Learning I (Artificial Neural Nets) |
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| Wed, Jan 24, afternoon session | Deep Learning II (Convolutional Neural Nets) |
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| Thu, Jan 25, afternoon session | Using ML APIs with Python (Google Cloud Vision, OpenAI) |
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| Fri, Jan 26, morning session | Using Pre-built AI with Python (Transformers Library, Diffusors Library) |
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| < Feb 25 | Exam Exercise | - | |
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