Search result: Catalogue data in Spring Semester 2021
Statistics Master The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible. | ||||||
Master Studies (Programme Regulations 2020) | ||||||
Core Courses | ||||||
Statistical Modelling Course units are offered in the autumn semester. | ||||||
Applied Statistics | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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401-3632-00L | Computational Statistics | W | 8 credits | 3V + 1U | M. Mächler | |
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. | |||||
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. | |||||
Mathematical Statistics Course units are offered in the autumn semester. |
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