Data Engineering (ILV)

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Course numberM2.08760.11.041
Course codeDE
Curriculum2021
Semester of degree program Semester 2
Mode of delivery Presence- and Telecourse
SPPW3,5
ECTS credits5,0
Language of instruction English

The students are able to design modern architectures for processing big data.
They are familiar with different approaches and are able to test and operate suchlarge-scale processing systems.
They are able to provide the collected data by programming and configuring interfaces.

The module covers the following topics/contents:

  • Data preparation (Data Wrangling)
  • Interoperability and scripting (interfaces)
  • Management and monitoring of data and data sources
  • Cloud-based infrastructures of data-intensive software development
  • Tools and Technologies
  • Data and text mining
  • Generation of data (data simulation)
  • Dimension reduction techniques

Lecture script as provided in the course (required)
McKinney, W., (2017). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. O'Reilly UK Ltd., 2nd edition
VanderPlas, J., (2016). Python Data Science Handbook: Essential Tools for working with Data. O'Reilly UK Ltd., 1st edition

Integrated course - teaching & discussion, demonstration, practical examples, home work

Immanent examination character:presentation, assignment reports, written/oral exam