The Probabilistic Method - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
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You can find all details on planned lectures and classes in the course catalogue.
Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.
| module properties The Probabilistic Method in degree program Master Data Science 2026 | |
|---|---|
| module number | 201315 |
| examination number | 2400922 |
| department | Department of Mathematics and Natural Sciences |
| ID of group | 2417 (Combinatorics / Graph Theory) |
| module leader | Prof. Dr. Yury Person |
| term | summer term only |
| language | Englisch |
| credit points | 5 |
| on-campus program (h) | 34 |
| self-study (h) | 116 |
| obligation | elective module |
| exam | oral examination performance, 30 minutes |
| details of the certificate | |
| link to Moodle course | |
| teacher | |
| signup details for alternative examinations | |
| maximum number of participants | |
| previous knowledge and experience | Stochastics (e.g. Diskrete Stochastik (200401) or Stochastik (200375), Discrete Mathematics (e.g. Graphen & Algorithmen (200408)) |
| learning outcome | Students acquired knowledge of the probabilistic method and are able to apply it to problems in discrete mathematics and data science. The exercises assisted them in this goal. Moreover, the students are be able to read current research papers and present, discuss and reflect on the results. |
| content | Probabilistic Methods, Concentration of Measure, Algorithmic Aspects |
| media of instruction and technical requirements for education and examination in case of online participation | Moodle, slides or PC presentations, blackboard and worksheets |
| literature / references | N. Alon, J. Spencer: The Probabilistic Method, 4th edition; Wiley, 2016. |
| evaluation of teaching | |