Bachelor Seminar Data Science - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).
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Please note that this page is no longer updated.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 module number 201353 - common information | |
|---|---|
| module number | 201353 |
| department | Department of Mathematics and Natural Sciences |
| ID of group | 24 (Fakultät für Mathematik und Naturwissenschaften) |
| module leader | Manja Krümmer |
| language | Englisch |
| term | ganzjährig |
| previous knowledge and experience | |
| learning outcome | As part of a current problem with a defined task, students are able to familiarize themselves with a complex issue by studying the relevant literature. They can acquaint themselves with current scientific findings, analyze and evaluate them. They are able to summarize and contextualize insights from the literature and present them in a seminar report. They can present the information they have worked on in a presentation and reflect on it in a discussion. |
| content | The Data Science seminar teaches students how to work with scientific literature in the field of data science and effectively present their findings. Additionally, students will acquire the following skills: |
| media of instruction and technical requirements for education and examination in case of online participation | Written documentation and lecture with digital presentation |
| literature / references | Topic-specific literature will be provided by the supervisor, and additional sources should be independently researched by the student. |
| evaluation of teaching | |
| Details reference subject | |
|---|---|
| module name | Bachelor Seminar Data Science |
| examination number | 2400949 |
| credit points | 5 |
| SWS | 0 |
| on-campus program (h) | 0 |
| self-study (h) | 150 |
| obligation | obligatory module |
| exam | alternative pass-fail certificate |
| details of the certificate | The alternative coursework consists of |
| link to Moodle course | |
| teacher | Lecturers from the computer science disciplines of Faculty Computer Science and Automotion and from the Institute of Mathematics |
| signup details for alternative examinations | |
| maximum number of participants | |
| Details in degree program Bachelor Data Science 2025 | |
|---|---|
| module name | Bachelor Seminar Data Science |
| examination number | 2400949 |
| credit points | 5 |
| on-campus program (h) | 0 |
| self-study (h) | 150 |
| obligation | obligatory module |
| exam | alternative pass-fail certificate |
| details of the certificate | The alternative coursework consists of |
| link to Moodle course | |
| signup details for alternative examinations | |
| maximum number of participants | |

