Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

Computational thinking

Vakcode:INFOMCTH
Studiepunten:7.5 ECTS
Periode:periode 3 (week 6 t/m 15, d.w.z. 5-2-2018 t/m 13-4-2018; herkansing week 27)
Timeslot:B
Deelnemers:tot nu toe 8 inschrijvingen
Rooster:De officiële roosters staan ook in Osiris
Docenten:
vormgroeptijdweekzaaldocent
college   di 9.00-10.456-15 BBG-069 Anna-Lena Lamprecht
  
do 13.15-15.006-15 MIN-0.13
Inhoud:This course is an introduction to computational thinking about data analysis problems, meant for students with little programming experience. Following a problem-based learning approach, they will learn how to get from a data analysis problem to an abstract workflow description and finally to a concrete software program that solves the problem. The course will cover standard processes for approaching data analysis problems (CRISP-DM model), abstract workflow description techniques (UML diagrams), elementary software design principles (reuse, modularisation), and basic programming skills (using the popular Python language). Finally, it will also address workflow management systems and the FAIR data principles. After finishing the course successfully, the students will be able to analyse data analysis problems from a computational perspective,decompose problems into the individual steps needed to solve it,describe the analysis workflow in the form of UML diagrams, find and use existing tools to implement the individual steps, and implement the overall workflow in Python.
Inspanningsverplichting voor aanvullende toets:Om aan de aanvullende toets te mogen meedoen moet de oorspronkelijke uitslag minstens 4 zijn.
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