| Detailed information | 
                                
                    
                      | Original study plan | Bachelor's programme Computer Science 2025W | 
                      
                    
                      | Learning Outcomes | 
                            
                            
                              | Competences  |  
                              | Students are able to apply basic methods of descriptive and inductive statistics. They can analyse data statistically correctly using these methods and correctly interpret statistical analyses and results. |  |  |  
                              | Skills  | Knowledge  |  
                              | Students can: calculate and interpret descriptive univariate summary statistics
visualize data with charts and diagrams
calculate and interpret descriptive bivariate summary statistics
interpret and calculate simple linear regression models
calculate and interpret probabilities
calculate and interpret conditional probabilities
calculate and interpret probability models for random variables
apply common statistical distributions
make estimations based on sample data (point estimators/confidence interval estimation)
calculate and interpret simple statistical tests
 | Students know: the most important methods of descriptive statistics for data visualization
methods for calculating probabilities and the the most important models in probability theory
the most important methods of inductive statistics with a focus on estimation and test theory
 |  | 
                                                            
                    
                      | Criteria for evaluation | exam at the end of semester | 
                       
                    
                                 
                    
                      | Methods | lecture by instructor | 
                                     
                    
                      | Language | German | 
                      
                    
                      | Study material | slides provided by instructor, available in Moodle additional literature:
 Bortz, J.: Statistik für Human- und Sozialwissenschaftler. Springer Verlag, in der aktuellen Auflage.
Fahrmeir, L.; Künstler, R.; Pigeot, I.: Statistik – Der Weg zur Datenanalyse. Springer Verlag, in der aktuellen Auflage.
Sachs, L; Hedderich J.: Angewandte Statistik. Springer Verlag, in der aktuellen Auflage
or any other introductory book to statistics 
 | 
                      
                    
                      | Changing subject? | No | 
                                        
                      | Further information | This lecture forms a didactic unit with the corresponding exercise. The learning outcomes described here are achieved through the interaction of the two courses. | 
    
                                        
                      | Corresponding lecture | (*)INBPBVOSTA1: VO Statistik 1 (4,5 ECTS) |