Review of Mathematics and Introduction to Statistics [CK001]
Self-paced online course with one Q&A meeting
Joost van Rosmalen, PhD, Sten Willemsen, PhD
ApplicationHow to apply
Detailed information about this course:
Several courses in the NIHES curriculum require a good working knowledge of basic concepts in mathematics and statistics. These courses include Biostatistics I (CK020), Biostatistics II (CK030), Repeated Measurements (EL002) and Bayesian Statistics (EL003). The course Review of Mathematics and Introduction to Statistics aims to prepare you for these statistical courses by helping you to obtain a sufficient working knowledge of mathematics and statistics.
This course is a self-study course based on online material (videos from external sources) and the material in an accompanying reader. A Q&A session will be organized near the final course deadline, and the organizers of the course are available for questions during the course. There will be no lectures or tutorials aside from the Q&A. A number of exercises and a practice test are included in the course materials.
The content of this course is divided into the following topics:
- Basic mathematical operations
- Vectors and matrices
- Basic concepts in statistics
This course was previously registered under the course code BST01.
At the end of the course the student will be equipped with the required knowledge of basic mathematical and statistical concepts to successfully complete the advanced statistical courses.
This is a required course for students starting a NIHES programme in 2021 or later.
Reduction on fees
PLEASE NOTE: This does not apply to the fee of the research master programmes (120 EC points)
No fees are charged for Erasmus MC PhD candidates, provided they have an account in Hora Finita, the Erasmus University PhD registration system.
In case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD candidates without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD candidate.