|Website:||website met extra informatie|
|Periode:||periode 2 (week 46 t/m 5, d.w.z. 14-11-2016 t/m 3-2-2017; herkansing week 16)|
|Deelnemers:||tot nu toe 0 inschrijvingen|
|Rooster:||De officiële roosters staan in MyTimetable|
|Docenten:||Dit is een oud rooster!
|Inhoud:||Data Analytics is a level-3 bachelor course which assumes you have completed the Scientific Research Methods (INFOWO) and Imperative or Mobile Programming (INFOB1MOP), or similar external courses. If you do not have elementary experience on statistics or programming yet, be aware that you will need to put in significantly more time than 20 hours per week in order to be able to complete this course. We therefore advise you not to enroll, then, even though it is formally not prohibited.
At the end of the course, students should be able to:
|Werkvorm:||Throughout the course, you are given a number of individual assignments. The answers to the assignments are to be submitted to the appropriate section of the infob3da forum.|
|Toetsvorm:||The final grade will be determined based on the following course components:
|Inspanningsverplichting voor aanvullende toets:||To qualify for the second-chance exam, the average grades for the midterm exam and the individual assignments components must be at least 4. Please note that in addition, the second-chance exam is about all the course content, including the topics covered after the mid-term exam.|
|Beschrijving:||In this Data Analytics (DA) course you will learn how to apply a data-driven approach to problem solving within the Life Sciences & Health domain. Throughout the workshops you will work on several individual DA assignments, on predefined problems/datasets, using R tools. The lectures will provide the theoretical background of how a DA process should be performed according to industry standards. Furthermore, we discuss an overview of popular DA techniques to help match techniques with information needs, including applications of text mining and data enrichment.
The course will be taught in English.