Artificial Intelligence
Artificial intelligence refers to the part of computer science that deals with perception, thinking, communication and learning in intelligent systems. Intelligent systems are part of our society and are indispensable (e.g. smartphone, autonomous vehicles). The study profile focuses on the fundamental algorithms in the field of machine learning with application to the individual components of intelligent systems (e.g., language, visual perception, interaction).
Thematically, the area includes: fundamentals in artificial intelligence, search algorithms, machine learning, neural networks/deep learning, knowledge representation, components and applied intelligent systems: speech, language, dialog processing, machine translation, speech translation, vision, video, image processing, image/video interpretation, pattern recognition, perception, multimodal systems, human-computer interaction, interaction and interface design.
German name: Künstliche Intelligenz
Designated Speaker / Deputy Speaker: Prof. Dr. Jan Niehues / TT-Prof. Rudolf Lioutikov
Special competencies acquired in the profile:
- Graduates are familiar with fundamentals, methodological approaches and applications from different areas of artificial intelligence.
- They can apply artificial intelligence in system solutions.
- Master thesis from the subject area of artificial intelligence.
- The advanced mandatory module Advanced Artificial Intelligence (former: Fortgeschrittene Künstliche Intelligenz / Kognitive Systememust) be taken. If the advanced mandatory module has already been examined in the Bachelor, more CP from the event list must be taken.
- At least 39 CP from the event list must be taken.
- A total of at least 45 CP must be taken.
V=Vorlesung (Lecture), S=Seminar (Seminar), P=Praktikum (Practical course), Ü=Übung (Practice)
Compulsory block (6 CP) | Course | Module | Partial achievement | CP | Course type |
Advanced Artificial Intelligence (new title from SS 2025) advanced mandatory module !!!!
from SS 23 to WS 24/25:Fortgeschrittene Künstliche Intelligenz |
M-INFO-107198 (M-INFO-106299) |
T-INFO-114220
(T-INFO-112768) |
6 | V | |
list of courses (at least 39 CP) | Course | Module | Partial achievement | CP | Course type |
Artificial Intelligence & IT-Security |
M-INFO-106810 |
T-INFO-113668 |
6 | V/ Ü | |
Automatische Sichtprüfung und Bildverarbeitung | M-INFO-100826 | T-INFO-101363 | 6 | V | |
Biometrische Systeme zur Personenerkennung |
M-INFO-102968 | T-INFO-105948 | 3 | V | |
Computer Vision für Mensch-Maschine-Interaktion no longer selectable since SS 21 |
M-INFO-100810 | T-INFO-101347 | 6 | V | |
Data Science (selectable from WS23/24)replaces Data Science 1 and 2 |
M-INFO-106505 | T-INFO-113124 | 8 | V | |
Data Science 1 (selectable from WS 21/22 to SS 23 former: Analysetechniken für große Datenbestände (selectable up to SS 21) |
M-INFO-105799 (M-INFO-100768) |
T-INFO-111622 (T-INFO-101305) |
5 | V | |
Data Science 2 (selectable from WS 21/22 to SS 23) former: Analysetechniken für große Datenbestände 2 (selectable up to SS 21) |
M-INFO-105801 (M-INFO-102773) |
T-INFO-111626 (T-INFO-105742) |
3 | V | |
Data Science and Artificial Intelligence for Energy Systems | M-INFO-106655 | T-INFO-113402 | 6 | V/Ü | |
Deep Learning für Computer Vision I: Grundlagen until SS 21: Deep Learning für Computer Vision |
M-INFO-105753 |
T-INFO-111491 | 3 | V | |
Deep Learning für Computer Vision II: Fortgeschrittene Themen | M-INFO-105755 | T-INFO-111494 | 3 | V | |
Deep Learning and Neural Networks until WS 24/25: Deep Learning und Neuronale Netze |
M-INFO-107197 (M-INFO-104460) |
T-INFO-114219 (T-INFO-109124) |
6 | V | |
Digitale Barrierefreiheit und Assistive Technologien |
M-INFO-105882 (M-INFO-100764) |
T-INFO-111830 (T-INFO-101301) |
3 | V | |
Edge-AI in Software and Sensor Applications Until: WS 24/25: Edge-AI in Software- und Sensor-Anwendungen |
M-INFO-107234 (M-INFO-105333) |
T-INFO-114258 (T-INFO-110819) |
3 | V | |
Einführung in die Bildfolgenauswertung | M-INFO-100736 | T-INFO-101273 | 3 | V | |
Embedded Machine Learning Lab | M-INFO-105775 | T-INFO-111549 | 4 | P | |
Explainable Artificial Intelligence | M-INFO-106302 | T-INFO-112774 | 3 | V | |
Formale Systeme | M-INFO-100799 | T-INFO-101336 | 6 | V | |
Formale Systeme II: Anwendungen | M-INFO-100744 | T-INFO-101281 | 5 | V | |
Formale Systeme II: Theorie | M-INFO-100841 | T-INFO-101378 | 5 | V | |
Forschungspraktikum Autonome Lernende Roboter | M-INFO-105378 | T-INFO-110861 | 6 | P | |
Gehirn und Zentrales Nervensystem: Struktur, Informationstransfer, Reizverarbeitung, Neurophysiologie und Therapie | M-INFO-100725 | T-INFO-101262 | 3 | V | |
Geometric Deep Learning |
M-INFO-106237 | T-INFO-112662 | 3 | V | |
Gestaltungsgrundsätze für interaktive Echtzeitsysteme selectable up to WS 23/24 |
M-INFO-100753 | T-INFO-101290 | 3 | V | |
Grundlagen der automatischen Spracherkennung selectable up to WS 23/24 |
M-INFO-100847 | T-INFO-101384 | 6 | V | |
Inhaltsbasierte Bild- und Videoanalyse selectable up to SS 23 |
M-INFO-100852 | T-INFO-101389 | 3 | V | |
Kontextsensitive Systeme | M-INFO-100728 | T-INFO-107499 | 5 | V | |
Lab Project: Speech Translation Until WS 24/25: Praktikum: Sprachübersetzung |
M-INFO-107176 (M-INFO-105997) |
T-INFO-114205 (T-INFO-112175) |
6 | P | |
Lokalisierung mobiler Agenten | M-INFO-100840 | T-INFO-101377 | 6 | V | |
Maschinelle Übersetzung | M-INFO-100848 | T-INFO-101385 | 6 | V | |
Maschinelles Lernen - Grundlagen und Algorithmen until SS 21: Maschinelles Lernen - Grundverfahren |
M-INFO-105778 (M-INFO-105252) |
T-INFO-111558 (T-INFO-110630) |
5 | V/Ü | |
Machine Learning for Natural Sciences Until WS 24/25: Maschinelles Lernen für die Naturwissenschaften mit Übung |
M-INFO-106959 |
T-INFO-113916 und |
6 | V/Ü | |
Maschinelles Lernen für die Computersicherheit (until SS 24) | M-INFO-105376 | T-INFO-110859 | 5 | V/Ü | |
Mensch-Maschine-Wechselwirkung in der Anthropomatik: Basiswissen | M-INFO-100824 | T-INFO-101361 | 3 | V | |
Mustererkennung | M-INFO-100825 | T-INFO-101362 | 3 | V | |
Natural Language Processing until SS 22: Verarbeitung natürlicher Sprache und Dialogmodellierung |
M-INFO-107178 (M-INFO-105999) |
T-INFO-114207 (T-INFO-112177) |
6 | V | |
Natural Language Processing and Software Engineering |
M-INFO-107233 (M-INFO-100735)
|
T-INFO-114257 (T-INFO-101272) |
3 | V | |
Optimization Methods for Machine Learning and Engineering | M-INFO-105329 | T-INFO-110809 | 5 | V | |
Practical Course: Natural Language Dialog Systems Until WS 24/25: Praktikum: Natürlichsprachliche Dialogsysteme |
M-INFO-107177 (M-INFO-102414) |
T-INFO-114206 (T-INFO-104780) |
6 | P | |
Praktikum: Automatische Spracherkennung (until WS 23/24) | M-INFO-102411 | T-INFO-104775 | 3 | P | |
Praktikum: Data Science | M-INFO-105632 | T-INFO-111262 | 6 | P | |
Praktikum: Data Science für die Wissenschaften | M-INFO-106329 | T-INFO-112844 | 6 | P | |
Praktikum: Intelligente Datenanalyse (Datalab) no longer selectable since WS 24/25 |
M-INFO-105494 | T-INFO-111038 | 4 | P | |
Praktikum: Neuronale Netze - Praktische Übungen (until WS 23/24) |
M-INFO-103143 | T-INFO-106259 | 3 | P | |
Praktikum: Smart Data Analytics | M-INFO-103235 | T-INFO-106426 | 6 | P | |
Projektpraktikum: Bildauswertung und -fusion | M-INFO-102383 | T-INFO-104746 | 3 | P | |
Projektpraktikum Computer Vision für Mensch-Maschine- Interaktion |
M-INFO-102966 | T-INFO-105943 | 6 | P | |
Projektpraktikum: Maschinelles Lernen für Materialwissenschaften und Chemie (until WS 22/23) | M-INFO-105473 | T-INFO-111019 | 6 | S | |
Projektpraktikum: Maschinelles Lernen und intelligente Systeme | M-INFO-105958 | T-INFO-112104 | 8 | P | |
Reinforcement Learning | M-INFO-105623 | T-INFO-111255 | 5 | V | |
Research Project Deep Learning for Robotics up to WS 24/25: Forschungspraktikum Deep Learning in der Robotik |
M-INFO-107174 (M-INFO-105480) |
T-INFO-114203 (T-INFO-111024) |
3 | P | |
Robotics II - Humanoid Robotics until WS 24/25: Robotik II: Humanoide Robotik |
M-INFO-102756 (M-INFO-107123) |
T-INFO-114152 (T-INFO-105723) |
3 | V | |
Seminar: Advanced Topics in Automatic Speech Recognition no longer selectable since WS 23/24 |
M-INFO-102726 | T-INFO-105654 | 3 | S | |
Seminar: Advanced Topics in Continual / Organic Machine Learning no longer selectable since WS 23/24 |
M-INFO-105117 | T-INFO-110351 | 3 | S | |
Seminar: Advanced Topics in Machine Translation | M-INFO-102725 | T-INFO-105653 | 3 | S | |
Seminar: Adverarial Machine Learning no longer selectable since WS 23/24 |
M-INFO-105491 | T-INFO-111035 | 4 | S | |
Seminar: Artificial Intelligence for Energy Systems | M-INFO-106490 | T-INFO-113110 | 4 | S | |
Seminar: Bildauswertung und -fusion | M-INFO-102375 | T-INFO-104743 | 3 | S | |
Seminar: Computer Vision für Mensch-Maschine-Schnittstellen until SS 2024 |
M-INFO-102373 | T-INFO-104741 | 3 | S | |
Seminar: Critical Topics in AI |
M-INFO-106958 (M-INFO-105760) |
(T-INFO-111500)
|
3 | S | |
Seminar: Deep Learning for Robotics until WS 24/25 Seminar: Deep Learning in der Robotik until SS 21: Few Shot Learning in Robotics |
M-INFO-107175 (M-INFO-105779) (M-INFO-105481) |
T-INFO-114204 (T-INFO-111559) (T-INFO-111025) |
3 | S | |
Seminar: Hot Topics in Artificial Intelligence & Security 1 Bis SS 24: Seminar: Hot Topics in Security of Machine Learning |
M-INFO-106868 (M-INFO-106394) |
|
4 | S | |
Seminar: Hot Topics in Artificial Intelligence & Security 2 until SS 24: Seminar: Hot Topics in Machine Learning for Computer Security |
M-INFO-106869 (M-INFO-106393) |
T-INFO-113762 (T-INFO-112918) |
4 | S | |
Seminar: Hot Topics in Explainable Artificial Intelligence (XAI) | M-INFO-106392 | T-INFO-112917 | 4 | S | |
Seminar: Multilingual Speech Recognition until WS 23/24 |
M-INFO-102413 | T-INFO-104778 | 3 | S | |
Seminar: Neuronale Netze und künstliche Intelligenz | M-INFO-102412 | T-INFO-104777 | 3 | S | |
Seminar: Recent Topics of Machine Learning in Materials Science and Chemistry until WS 22/23: Seminar: Maschinelles Lernen für die Naturwissenschaften |
M-INFO-106284 (M-INFO-105472) |
T-INFO-112740 (T-INFO-111018) |
3 | S | |
Seminar: Robot Reinforcement Learning | M-INFO-105379 | T-INFO-110862 | 3 | S | |
Seminar Sprach-zu Sprach-Übersetzung | M-INFO-102823 | T-INFO-105797 | 3 | S | |
Seminar: Von Big Data zu Data Science: Moderne Methoden der Informationsverarbeitung |
M-INFO-102305 | T-INFO-101270 | 3 | S | |
Seminar zum Projektpraktikum: Maschinelles Lernen und intelligente Systeme |
M-INFO-105959 | T-INFO-112105 | 3 | S | |
Sicherheit von Maschinellem Lernen (until SS 24) |
M-INFO-105869 | T-INFO-111802 | 3 | VL | |
Skalierbare Methoden der künstlichen Intelligenz | M-INFO-105868 | T-INFO-111801 | 4 | V | |
Stochastische Informationsverarbeitung | M-INFO-100829 | T-INFO-101366 | 6 | V | |
Unscharfe Mengen (until WS 24/25) |
M-INFO-100839 | T-INFO-101376 | 6 | V |