| Language of instruction : English |  
 
  
                                    
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		 | Degree programme |  | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 |  | 
	 
		  | 1st year Master Bioinformatics - distance learning | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | No | Numerical |   | 
	 
		| 1st year Master Biostatistics - distance learning | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | No | Numerical |   | 
	 
		| 1st year Master Data Science - distance learning | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | No | Numerical |   | 
	 
		| 1st year Master Quantitative Epidemiology  - distance learning | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | No | Numerical |   | 
	 
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				|   | |   Learning outcomes |
 -  EC 
  | The student is capable of acquiring new knowledge.  |  
 
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  |  |   EC = learning outcomes       DC = partial outcomes       BC = evaluation criteria    |  
 
  
					
    
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                 In this course, we deal with the following topics: 
- Descriptive statistics: 
- different types of variables
 
- measures of centrality
 
- measures of variability
 
- measures of relative standing
 
- graphical methods to present data
 
 
 
- Basic probability theory: 
- sample space, events, probability, combinatorics
 
- Law of total probability, Bayes rule
 
- stochastic variables, (joint, conditional) distributions, (conditional) expectations
 
- transformation of distributions
 
- Law of large numbers, Central limit theorem
 
- generating samples from a population
 
 
 
- Statistical inference: 
- Confidence intervals: CI for mean(s), CI for proportion(s), CI for variance(s)
 
- hypothesis testing: null-hypothesis, alternative hypothesis, test-statistic, critical value, p-value
- hypothesis for mean, proportion and variance
 
- comparing means, proportions, variances
 
 
 
- Introduction to estimation methods: maximum likelihood, methods of moments, least squares method
 
 
 
 
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               Collective feedback moment ✔
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               Distance learning ✔
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               Exercises ✔
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						Semester 1 (5,00sp) 
							
								
									
										| Evaluation method |  | 
									 
										
											
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														| Written evaluation during teaching period | 10 % | 
													 
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						 Second examination period 
							
								
									
										| Evaluation second examination opportunity different from first examination opprt |  | 
									 
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| Compulsory textbooks (bookshop) | 
 
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[Mathematical Statistics and Data Analysis],[John A. Rice],[Third Edition],[Cengage],[9780495118688],[] |  
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| Compulsory course material | 
 
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Lecture notes for the lectures will be provided by the lecturer through the electronic platform.  | 
 
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		 1   examination regulations art.1.3, section 4. | 
	 
		| 2   examination regulations art.4.7, section 2. | 
	 
		3   examination regulations art.2.2, section 3.
 
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		| Legend | 
	 
		|  SBU : course load |  SP : ECTS | N : Dutch | E : English | 
	 
 
                                    
                                 
                                
                                
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