Lab course materials for IEMBA 8/9 course "Coding and Artificial Intelligence"

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Overview

IEMBA 8/9 - Coding and Artificial Intelligence

Dear IEMBA 8/9 students,

welcome to our IEMBA 8/9 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!

Your IEMBA teaching team

This table lists all coding lab notebooks and exercise notebooks:

Date	Topic	Lab Notebook	Solution Notebook
< Mon, Jan 17	Prerequisite	-	-
Mon, Jan 17	Python 101: Jupyter Notebooks and Python Basics
Tue, Jan 18, morning session	Python 102: Numerical Math & Images
Tue, Jan 18, afternoon session	Machine Learning I (Naive Bayes)
Tue, Jan 18, afternoon session	Machine Learning II (k Nearest-Neighbors)
Wed, Jan 19, morning session	Deep Learning I (Artificial Neural Nets)
Wed, Jan 19, afternoon session	Deep Learning II (Convolutional Neural Nets)
< TBD	Exam Exercise	-	-

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Lab course materials for IEMBA 8/9 course "Coding and Artificial Intelligence"

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Overview

IEMBA 8/9 - Coding and Artificial Intelligence

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