Search result: Catalogue data in Spring Semester 2020
Cyber Security Master  | ||||||
 Minor | ||||||
| Computational Science | ||||||
| Core Courses | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | M. H. Maathuis | |
| Abstract | We discuss modern statistical methods for data analysis, including methods for data exploration, prediction and inference. We pay attention to algorithmic aspects, theoretical properties and practical considerations. The class is hands-on and methods are applied using the statistical programming language R. | |||||
| Learning objective | The student obtains an overview of modern statistical methods for data analysis, including their algorithmic aspects and theoretical properties. The methods are applied using the statistical programming language R. | |||||
| Content | See the class website | |||||
| Prerequisites / Notice | At least one semester of (basic) probability and statistics. Programming experience is helpful but not required. | |||||
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