Module CS3204-KP04, CS3204

Duration

1 Semester

Turnus of offer

each summer semester

Credit points

4

Course of studies, specific fields and terms:

• Bachelor Robotics and Autonomous Systems 2020 , compulsory, Robotics and Autonomous Systems
• Bachelor Computer Science 2019, optional subject, major subject informatics
• Bachelor MES 2020, optional subject, computer science / electrical engineering
• Bachelor Media Informatics 2020, optional subject, computer science
• Bachelor Medical Informatics 2019, optional subject, computer science
• Bachelor MES 2014, optional subject, computer science / electrical engineering
• Bachelor Computer Science 2016, optional subject, major subject informatics
• Bachelor Computer Science 2016, compulsory, Canonical Specialization Web and Data Science
• Bachelor Robotics and Autonomous Systems 2016, compulsory, Robotics and Autonomous Systems
• Bachelor IT-Security 2016, optional subject, computer science
• Bachelor Biophysics 2016, optional subject, computer science
• Bachelor Medical Informatics 2014, optional subject, computer science
• Bachelor Media Informatics 2014, optional subject, computer science
• Bachelor Computer Science 2014, optional subject, central topics of computer science
• Bachelor Computer Science 2014, compulsory, specialization field robotics and automation
• Bachelor Medical Informatics 2011, optional subject, Applied computer science
• Bachelor CLS 2010, optional subject, computer science
• Bachelor MES 2011, optional subject, medical engineering science
• Bachelor Computer Science 2012, compulsory, specialization field robotics and automation
• Bachelor Computer Science 2012, optional subject, central topics of computer science

Classes and lectures:

• Artificial Intelligence (exercise, 2 SWS)
• Artificial Intelligence (lecture, 2 SWS)

Workload:

• 55 hours private studies
• 45 hours in-classroom work
• 20 hours exam preparation

Contents of teaching:

• Part 1: Search strategies As an introduction and a prerequisite for most of the principles of artificial intelligence search strategies are introduced and explained. We will introduce uninformed, informed, local search, adversial search as well as heuristic search. The concept of agents will be presented.
• Part 2: Learning and reasoning Revision of the foundations of mathematical logic and probability. Principles of machine learning (supervised and unsupervised) are introduced. An introduction to fuzzy logic is also included.
• Part 3: Applications of artificial intelligence Typical applications in the fields or robotics, machine vision, and industrial image and data processing are identified. Ethical issues and risks of the development of artificial intelligence are discussed.

Qualification-goals/Competencies:

• The students are able to handle scope-oriented tutorials with a mathematical background in a team, and timely.
• They have developed an understanding for the benefits and disadvantages of the different search and problem solving techniques.
• The students are in a position to choose and apply independently appropriate algorithms for search and learning issues.
• They have gained an insight into the complex development of systems with artificial intelligence and the distinction of its various forms.
• The students have an understanding of the risks and possible technological consequences of the development of systems with strong AI.

Grading through:

• portfolio exam

Requires:

• Analysis 2 (MA2500-KP04, MA2500)
• Algorithms and Data Structures (CS1001-KP08, CS1001)

Responsible for this module:

• Prof. Dr. rer. nat. Floris Ernst

Teacher:

• Institute for Robotics and Cognitive Systems
• MitarbeiterInnen des Instituts
• Prof. Dr. rer. nat. Floris Ernst

Literature:

• G. Görz (Hrsg.) : Handbuch der Künstlichen Intelligenz München: Oldenbourg Wissenschaftsverlag, 2003
• C-M. Bishop : Pattern Recognition and Machine Learning Springer Verlag, 2007
• Russell/Norvig : Artificial Intelligence: a modern approach (3rd Ed.), Prentice Hall, 2009
• Mitchell : Machine Learning McGraw-Hill, 1997
• Luger : Artificial Intelligence: Structures and Strategies for Complex Problem Solving (6th Ed.), Addison-Wesley, 2008

Language:

• offered only in German

Notes:

Last Updated:

03.09.2024