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Big Geodata Processing

University of Twente

Certificate / Diploma Short course Enschede

Course description

Qualification Certificate
Field of study Mathematics, natural sciences and computer science
Course summary In this course, we present methods and techniques that can be used to build solutions that operate with massive and potentially heterogeneous amounts of spatio-temporal data.
Course description Thanks to the digital, mobile and sensor revolutions, massive amounts of data are becoming available at unprecedented spatial, temporal, and thematic scales. This leads to the practical problem of transforming big geodatasets into actionable information that supports decision-making at various scales, and that can be further processed to generate new knowledge. In this respect, geodata science workflows and modern data management systems are not only key to processing big geospatial datasets but also to sharing the extracted information and knowledge, and to ensuring the reproducibility of the results. In this course, we present methods and techniques that can be used to build solutions that operate with massive and potentially heterogeneous amounts of spatio-temporal data. Building such a bigdata solution requires: 1/ understanding the advantages and limitations of various types of cloud-based solutions, 2/ using a scalable data management system, 3/ building scalable and robust data mining and machine learning workflows that allow processing large amounts of geodata (e.g., to identify data clusters and create data-driven classification and regression models).
Study subjects -
Course objectives -
ECTS credits 5.00
Duration 33 day(s)
full-time
Language of instruction English
Instruction modes group assignment, individual assignment, lecture, practicum, self study
Accreditation NVAO

About the institution

Department -
Information about the institution The University of Twente is where talent can best realize its full potential. Students and staff are the key. Together they ensure pioneering research, relevant innovation and inspiring education.

Admission

Admission requirements
  1. Applicants should have a bachelor’s degree or equivalent from a recognized university in a discipline related to the course, preferably combined with working experience in a relevant field.
  2. Applicants should have a bachelor’s degree or equivalent from a recognized university in a discipline related to the course, preferably combined with working experience in a relevant field.
Language requirements
Cambridge Certificate in Advanced English C1
Cambridge Certificate of Proficiency in English C2
IELTS overall band 6.0
TOEFL internet based 80
TOEFL paper based 550
Professional experience required -
Duration 33 day(s)
full-time
Application deadlines
Start date EU/EEA Students Non-EU/EEA students
2 Sep 2019 8 Jul 2019 8 Jul 2019
Tuition fees
Year EU/EEA Non-EU/EEA Institutional
2019 (FT)n.a.n.a.€ 1116

In short, the following rules apply:

  • The “EU/EEA rate” is the regular fee for students from within the EU/EEA.
  • The “non-EU/EEA rate” is the rate for students from outside the EU/EEA.
  • The “institutional rate” is for all students who have already obtained a bachelor’s or master’s degree and who want to start a second programme leading to a degree at the same level or at a lower level.
  • Note that FT, PT and D stand for "full-time", "part-time" and "dual", respectively.

Make sure you contact your institution to find out what rate applies to you. The rates listed here are estimates.

Scholarships

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For more scholarships, visit: www.grantfinder.nl

Course website More information about the course

Contact

Contact information for the study programme

Tina Tian

education-itc@utwente.nl

Contact information for the institution

Studie Informatiecentrum

study info

study@utwente.nl

Telephone number
Course website More information about the course
Institution website More information about the institution