https://maucher.pages.mi.hdm-stuttgart.de/ai/ Recent content on Artificial-Intelligence@HDM Hugo -- gohugo.io maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) Fri, 13 Mar 2026 00:00:00 +0000 https://maucher.pages.mi.hdm-stuttgart.de/ai/page/ki/ Fri, 13 Mar 2026 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/ki/ Organisation Time Monday, 8:15h-11:30h Room 056 Credits 4 SWS / 6 ECTS Exam written, 60min Announcements First lesson in summer term 2026: 23.03.2026 Note that the contents of this course are totally different from it’s contents before summer term 26. The old contents are still described here old version of this lecture. The most important part of the old lecture - Machine Learning Algorithms - goes into a new lecture, which will be provided from winter term 26 on. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/pythonpre/ Thu, 28 Aug 2025 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/pythonpre/ Motivation In the context of Machine Learning and Data Science Python and it’s rich ecosystem of libraries and development environments have evolved to be the number one programm language. The main advantages of Python are: It has a readable and intuitive syntax and is therefore easy to learn and apply. It is outstanding for rapid prototyping. Due due it’s interactive interpreter, Python code can easily be developed in an interactive manner, e. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/pia/ Fri, 14 Mar 2025 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/pia/ Organisation Time only Summer Term Time Thursday, 08.15h-11.30h Room 133 Credits 2 SWS / 5 ECTS Exam Lab Work Moodle Moodle course Announcements First lesson in term SS 25: 19.03.26 Prerequisites for participation Successful completion of the CSM Machine Learning Lecture. Structure, Contents, Documents In this lab student-groups must implement selected applications of Deep Learning. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/stdl/ Fri, 14 Mar 2025 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/stdl/ Organisation Time only Summer Term Time Thursday, 08.15h-11.30h Room 133 Credits 2 SWS / 5 ECTS Exam Lab Work Moodle Moodle course Announcements First lesson in term SS 25: 19.03.26 Prerequisites for participation Successful completion of the CSM Machine Learning Lecture. Structure, Contents, Documents In this lab student-groups must implement selected applications of Reinforcement Learning. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/kiold/ Fri, 15 Mar 2024 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/kiold/ Organisation Time Monday, 8:15h-11:30h Room 056 Credits 4 SWS / 6 ECTS Exam written, 60min Announcements First lesson in WS 25⁄26: 13.10.25 Artificial Intelligence Maybe you know Artificial Intelligence (AI) from Sci-Fi movies? With intelligent machines that are far superior to humans? If you expect something like this, you might be on the wrong path. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/ml/ Thu, 28 Sep 2023 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/ml/ Organisation Time Wednesday, 8.15h-11.30h Room 136 Credits 4 SWS / 5 ECTS Exam written, 60min Announcements First lesson in WS 25 26: 08.10.2025 Machine Learning Machine Learning is currently one of the hottest topics in computer science. Almost daily we find new press releases about groundbreaking improvements in a wide field of applications, comprising e. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/st/ Thu, 28 Sep 2023 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/st/ Organisation Time Wednesday, 11:45h-13:15h Room 135 Credits 2SWS/3ECTS Exam Project + Oral Exam Precondition Successful attendance of lecture Artificial Intelligence (113442) Announcements First lesson in WS 25⁄26: 08.10.2025 Content Currently the by far most prominent category of AI is Machine Learning, in particular Deep Learning. Deep Neural Networks have revolutionized many tasks of Computer Vision, Natural Language Processing, Data Mining, Time Series Prediction, Control and many others. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/dm/ Fri, 12 Oct 2018 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/dm/ Organisation Credits 4SWS/6ECTS Exam Lab Exercises + oral Maximum number of students 20 Room 135 Date Monday, 10:00h-13:15h Moodle Moodle course Announcements First lesson in SS 26: 23.03.2026 This lecture is held by Dr. Florian Rupp Data Mining Lab: Contents In this course 6 different data mining and pattern recognition applications are implemented by all student groups. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/nlp/ Fri, 12 Oct 2018 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/nlp/ Organisation Time Tuesday, 10:00h-11:30h Room 108 Credits 2 SWS/ 3 ECTS Exam written exam Announcements First lesson in term WS 25-26: 07.10.2025 Natural Language Processing Natural Language Processing (NLP) deals with techniques that enable computers to understand the meaning of text, which is written in a natural language. Thus NLP constitutes an essential part of Human Computer Interaction (HCI). https://maucher.pages.mi.hdm-stuttgart.de/ai/page/st_old/ Thu, 11 Oct 2018 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/st_old/ Organisation Time WS 2023⁄24 Room t.b.d. Credits 2SWS/3ECTS Exam Seminar paper + presentation Precondition successful attendance of lecture Artificial Intelligence (113442) Announcements First lesson in term WS 19//20: Monday, 14.10. 2019 Grading/Exam: After the presentations, which are listed in the table below, student-groups can select one of the presented topics. The selected topic is studied in more detail in a homework project. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/proj/ Mon, 20 Aug 2018 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/proj/ Currently open offers Please contact me, if you are interested in one of the following projects: Date Type Key Words / Short Description Further Information 13.04.2021 3 Masterthesis Machine Learning Anwendungen im Aftermarketbereich Mahle offers 10.05.2021 Masterthesis Repurpose GAN für Image Segmentierung DAT Aufgabenbeschreibung 28.07.2021 Bachelorthesis/Masterthesis Machine Learning basierte Modellierung von Photovoltaik-Systemen ZSW Aufgabenbeschreibung 24.11.2021 Festanstellung Data Scientist BI & KI Lidl Stellenbeschreibung 14. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/convolutionneuralnetworks/ Fri, 15 Dec 2017 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/convolutionneuralnetworks/ Convolutional Neural Networks Author: Johannes Maucher Last Update: 13th December 2017 There exists different types of deep neural networks, e.g. * Convolutional Neural Networks (CNNs) * Deep Belief Networks (DBNs) * Stacked Autoencoders and many others and variants of them. Among these different types, CNNs are currently the most relevant ones. This notebook describes the overall architecture and the different layer-types, applied in a CNN. Since the most prominent application of CNNs is object recognition in images, the descriptions in this notebook refer to this use-case. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/gameai/ Mon, 18 Sep 2017 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/gameai/ Organisation Time only SS Time Friday, 10.00h-13.15h Room 056 Credits 4SWS/6ECTS Exam written, 90min Announcements First lesson in SS 19: 22.03.2019 Contents This lecture consists of 2 parts: A theoretical part, which introduces the AI-algorithm applied in game AI, and a practical part, where the application and implementaion of AI in modern computer games is demonstrated. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/or/ Mon, 18 Sep 2017 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/or/ Organisation Time only Summer Term Date Wednesday, 08.15h-11.30h Room m034 Credits 4 SWS / 5 ECTS Exam Presentation + oral Announcements First lesson of term SS 26: 18.03.2026 Object Recognition The goal of computer vision is to enable machines to see and understand data from images and videos. To achieve this goal the central computer vision task is object recognition. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/me/ Mon, 01 Jan 0001 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/me/ Born 27.07.1969, Memmingen Grammar School TG Biberach, finished May, 1989 University Study of Communication Technology at University of Ulm, finished December, 1994 PH.D Research Work on Coding and Cryptography at the Instiute of Information Technology, University of Ulm, finished December 1999 Ascom Systec AG, Switzerland Research Engineer: Design, modelling and simulation of terrestrial and satellite UMTS networks Project Manager Head of Technology Area Digital Communications Head of Market Area Satellite Communications HdM Stuttgart Since 2004: Professor for Artificial Intelligence. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/cv/ Mon, 01 Jan 0001 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/cv/ List of all publications at Google Scholar. List of all publications at dblp. https://maucher.pages.mi.hdm-stuttgart.de/ai/page/cvold/ Mon, 01 Jan 0001 00:00:00 +0000 maucher@hdm-stuttgart.de (Prof. Dr. Johannes Maucher) https://maucher.pages.mi.hdm-stuttgart.de/ai/page/cvold/ A New Construction of (Partial) Unit Memory Codes based on Reed Muller Codes; J.Maucher; Proceedings of 7.th Joint Swedish-Russian Workshop on Information Theory, St.Petersburg, pages 180-184, Russia; June 1995. On i-cyclic Codes and their Mannheim Weight; J.Maucher; Proceedings of 5.th International Workshop on Algebraic and Combinatorial Coding Theory; Sozopol, Bulgaria; pages 204-211; June 1996. Multi Dimensional Compartment Schemes; J.Maucher; Proceedings of 6.th International Conference on Cryptography and Coding; Cirencester, UK; December1997.