Data Mining
| Duration | 1 semester |
|---|---|
| State of the module | Compulsory module |
| ECTS | 10 |
| Hours of compulsory in credit hours | 6 |
| Learning outcome/ competencies | At the end of this module, you will understand the difference between processes which confirm and those which identify structures and be able to differentiate between the functioning of various processes. As well as knowing the systems and implementation requirements of processes, you will be able to offer detailed and technically proficient explanations of their respective advantages and drawbacks. You will master the targeted use of current statistical software. You will prove your ability to independently apply these processes using computers via concrete and practically relevant scenarios. This requires you to perform data scrubbing and analysis, critically assess the results of your calculations and, if necessary, select alternative approaches in order to obtain optimum solutions to the problem at hand. You will be able to enrich data by calculating new key figures in a reasoned manner. As part of a case study, you will apply your knowledge to the construction of more complex data mining models, check and evaluate their quality and be able to identify and explain the causes and options for remedying deficiencies. You will subsequently use your findings to derive and justify economically sensible measures from the same. |
| Necessary requirements | None |
| Recommended requirements | MPMD 1.2 Foundations of Data Analytics and statistical Programming |
| Method of examination (applicable are §§ 9-14 RStPO) |
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