Large Networks & Random Graphs - Interactive curriculae of TU Ilmenau
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| module properties module number 200439 - common information | |
|---|---|
| module number | 200439 |
| department | Department of Mathematics and Natural Sciences |
| ID of group | 2417 (Combinatorics / Graph Theory) |
| module leader | Prof. Dr. Yury Person |
| language | English |
| term | Sommersemester |
| previous knowledge and experience | Stochastics (e.g. Diskrete Stochastik (200401) or Stochastik (200375), |
| learning outcome | Students are familiar with various models of random graphs, their potential applications as well as advantages and disadvantages. They can select a suitable model for an application problem, examine it methodologically and apply and develop algorithms for it. They are also able to read current literature in the context of scientific research at the time. They can present the results and conclusions and are able to discuss and reflect them. |
| content | Models of random graphs G(n,p), G(n,m), G(n,d) and their most important properties. Thresholds and expectation thresholds. Random geometric graphs and models for complex networks. Algorithms on random graphs. |
| 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 | B. Bollobás: Random Graphs, 2nd edition; Cambridge University Press, 2001. |
| evaluation of teaching | |
| Details reference subject | |
|---|---|
| module name | Large Networks & Random Graphs |
| examination number | 2400791 |
| credit points | 5 |
| SWS | 3 (2 V, 1 Ü, 0 P) |
| on-campus program (h) | 33.75 |
| self-study (h) | 116.25 |
| obligation | obligatory module |
| exam | oral examination performance, 30 minutes |
| details of the certificate | |
| link to Moodle course | |
| teacher | Person, Yury |
| signup details for alternative examinations | |
| maximum number of participants | |
| Details in degree program Bachelor Informatik 2013, Bachelor Informatik 2021, Master Technische Kybernetik und Systemtheorie 2021, Master Informatik 2021, Bachelor Mathematik 2021, Master Mathematik und Wirtschaftsmathematik 2022, Bachelor Data Science 2025 | |
|---|---|
| module name | Large Networks & Random Graphs |
| examination number | 2400791 |
| 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 | |
| signup details for alternative examinations | |
| maximum number of participants | |