Module summary |
Intelligent Systems |
INFM120I |
Prof. Dr.-Ing. Astrid Laubenheimer |
7 ECTS points / 6 Contact hours |
1st Semester |
none |
none |
Written Exam 120 Min. (graded) |
Course Intelligent Systems Exercise
| |
INFM122I | Exercise |
Prof. Dr.-Ing. Astrid Laubenheimer | German |
3/2 | Exercise 1 Semester (not graded) |
Course Model-Based Pattern Recognition
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INFM121I.a | Lecture |
Prof. Dr. Norbert Link | German |
2/2 | Module exam |
Introduction: Examples and discussion of intelligent systems Stochastic processes and decision theory Data, features, feature assessment and feature space transformations Recognition by classification Attributes by estimation Behaviour recognition by means of discrete and continuous models Automatic diagnosis | |
The matter is presented by means of animated slides and extensive derivations at the blackboard. The presentation is available on the internet. For further study four text books are recommended:
| |
Class (including training) (32h), self-responsible work (58h) |
Course Unsupervised Learning
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INFM121I.b | Lecture |
Prof. Dr.-Ing. Astrid Laubenheimer | German |
2/2 | Module exam |