Course Info
| Module [Module Number] | CM Data Analytics II [1277MBPDA1] |
| Regular Cycle | Winter Term |
| Teaching Form | Lecture |
| Examination Form | Written test: PO |
| Teaching Language | English |
| ECTS | 6 |
| Instructor | Prof. Dr. Markus Weinmann, Sercan Demir |
| KLIPS 2.0 | Link |
Module Content
- Introduction to the statistical software R, including statistical modelling in R
- Use of R for data analysis and presentation
- Introduction to programming in R and the design of user-defined statistical diagrams
Learning Objectives
Students …
- know and understand the relevant methods and theories for the points mentioned above under „Module content“.
- understand advanced, specialized theories / methods in the field of programming and data analytics.
- analyse current questions and challenges in the field of programming and data analytics.
- assess and discuss findings and research results of specialized theories / methods.
- act responsibly considering ecological, social and ethical criteria.
- develop work processes for real problems and challenges.