|Website:||website met extra informatie|
|Periode:||periode 3 (week 6 t/m 15, dwz 6-2-2017 t/m 13-4-2017; herkansing week 27)|
|Deelnemers:||tot nu toe 25 inschrijvingen|
|Rooster:||De officiële roosters staan ook in Osiris|
|Inhoud:||At the end of this course, you will be able to:
|Werkvorm:||There will be 6 contact hours per week. On Tuesdays from 11:00-12:45, regular lectures will be given, as on Thursdays from 13:15-15:00. The Thursday lectures are followed by workshop sessions where we will practice with big data tools (esp. Hadoop) and collaboratively investigate their societal impact.
In the first weeks, the lectures will focus more on the fundamentals of applied data science, whereas in the second half we will be introduced into the work of various UU/UMCU researchers related to applied data science.
The following assignments are scheduled:
|Toetsvorm:||The graded deliverables generate the final course grade as follows:
[A] Book review
[B] Market research
[C] Project pitch event
[D] Written, mostly multiple choice, exam
[E] Optional bonus for extraordinary participation/performance
Grade = [A]*0.15 + [B]*0.15 + [C]*0.30 + [D]*0.40 + [E]
|Inspanningsverplichting voor aanvullende toets:||To qualify for the second chance exam, all grading components need to be at least 4.0.|
|Beschrijving:||This is the introductory course for the Applied Data Science profile. As such, it's primary objective is to inspire and introduce you to the emerging domain of Applied Data Science.
The course balances between Big Ideas and their feasibility due to the Big Diversity of its qualifying students. On the one hand it aims to trigger your enthousiasm for applied data science, and to inspire you to aim for societal impact through data science. On the other hand, it needs to provide you with a core set of information science essentials to properly understand big data technologies, while leveraging your diversity as an opportunity to create an inspiring course.