Pattern Recognition
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| Module name | Pattern Recognition |
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| Type of module | Selectable mandatory module |
| Learning results, competencies, qualification goals | The student is able to:
Learning results with regard to the objectives of the course of study:
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| Types of courses | 4 SWS (semester periods per week): 3 SWS lecture 1 SWS exercise |
| Course contents | This lecture deals with the basic principles and procedures of the pattern recognition in particular from a probabilistic point of view. The following topics are discussed in the course: fundamentals (among other things stochastic, model selection, "Curse of Dimensionality", decision-making and information theory), distributions (multinomial, Dirichlet, Gaussian and student distribution, nonparametric estimation), linear models of regression, linear models of classification, mixed models and "Expectation Maximisation", approximate inference, combination of models, statistical learning theory (support vector machines), examples of applications (online clustering, anomaly detection, etc.). |
| Teaching and learning methods (forms of teaching and learning) | Lecture, presentation, learning by teaching, self-regulated learning, problem-based learning |
| Frequency of the module offering | Winter term |
| Language | German |
| Recommended (substantive) requirements for the participation in the module | Basic knowledge about stochastic, analysis and linear algebra |
| Requirements for the participation in the module | Prerequisites according to examination regulations |
| Student workload | 180 h: 60 h attendance studies 120 h personal studies |
| Academic performances | Working on exercises on a regular basis |
| Precondition for the admission to the examination performance | None |
| Examination performance | Oral examination (20 min.) |
| Number of credits of the module | 6 credits |
| In charge of the module | Prof. Dr. Sick |
| Teacher of the module | Prof. Dr. Sick and co-workers |
| Forms of media | Presentation with projector, paper exercises |
| Literature references |
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