880082 :Research Skills: Data Processing Advanced

Algemeen

Voertaal Engels
Werkvorm: Exercise sessions (Collegerooster)
Tentamenvorm: (Geen informatie over tentamendata bekend)
Niveau:Master
Studielast:3 ECTS credits
Inschrijving:Enrollment via Blackboard before start of lectures
Blackboard informatieLink to Blackboard (Als u de melding 'Guest are not allowed in this course' krijgt, dient u nog bij Blackboard in te loggen)

Docent(en)


dr. G.A. Chrupala (coordinator)


Doel van de cursus (alleen in het Engels beschikbaar)

- Use the Python tools for scientific computing for processing research data
- Understand the tradoffs of numpy/scipy datatypes and operations and know how to choose appropriate ones
- Use numpy and scipy methods in the context of research projects


Inhoud van de cursus (alleen in het Engels beschikbaar)

Researchers in many scientific and engineering fiels need to access,
manipulate and analyze large amounts of data such as audio and video,
images, text or physiological measurments. Data Science and Machine
Learning are especially data-intensive fields. In this course you will
learn how to leverage the Python tools for scientific computing to
handle data in an efficient and effective manner. You will learn how
to use numpy and scipy to load, transform and analyze data from a
variety of domains. The topics covered will include:

- Data types and numpy arrays
- data cleaning transformation
- vectorized operations
- dense vs sparse data structures
- distance and similarity metrics
- plotting with matplotlib


Bijzonderheden (alleen in het Engels beschikbaar)

Individual (50%) and group (50%) assignments


Gewenste voorkennis

880083 Machine Learning is recommended as a companion course


Vereiste voorkennis

880254 Research Skills: Data Processing


Mogelijk interessant voor

  • Bedrijfscommunicatie en Digitale Media ( 2016, 2016, 2017, 2017 )
  • Communicatie-Design ( 2016, 2017 )
  • Human aspects of Information Technology ( 2016 )
  • Data Journalism ( 2016, 2016 )
  • Communication and Information Sciences ( 2016, 2017 )
  • Data Science: Business and Governance ( 2017 )
  • Cognitive Science and Artificial Intelligence ( 2017 )
  • Data Science: Business and Governance (voorjaar) ( 2017 )
  • Master KCW: Art, Media and Society ( 2016 )
  • Master KCW: Global Communication ( 2016 )
  • Language and Communication (research) ( 2016, 2017 )

(18-jul-2017)