194.048 Data-intensive Computing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021S, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to

  • identify and solve practical problems of data-intensive computing
  • describe theoretical foundations of distributed data processing
  • apply methods for data processing in distributed data environments
  • apply machine learning to large-scale data in Hadoop/Spark-based cluster environments
  • design solutions for large-scale machine learning und data science problems and tasks
  • develop and deploy data-intensive edge computing strategies

Subject of course

Theory: Map/Reduce, Spark, edge computing, execution graphs
Practical part: Hadoop, Spark, implementation of large-scale data processing and machine learning tasks, edge computing

Teaching methods

Practical implementation of large-scale data processing and machine learning tasks in homogeneous and heterogeneous environments

Mode of examination


Additional information

Vorbesprechung/First meeting: March 11th, 14:15, online

Zoom: https://tuwien.zoom.us/j/93067871045?pwd=MGJFdllEMEhzRGN5S1VhM2lyZ09ZQT09




Course dates

Thu14:15 - 15:1511.03.2021 Zoom (LIVE)First meeting
Thu15:15 - 16:4518.03.2021 - 10.06.2021 Zoom (see TUWEL) (LIVE)Lecture (online)
Data-intensive Computing - Single appointments
Thu11.03.202114:15 - 15:15 ZoomFirst meeting
Thu18.03.202115:15 - 16:45 Zoom (see TUWEL)Lecture (online)
Thu25.03.202115:15 - 16:45 Zoom (see TUWEL)Lecture (online)
Thu22.04.202115:15 - 16:45 Zoom (see TUWEL)Lecture (online)
Thu29.04.202115:15 - 16:45 Zoom (see TUWEL)Lecture (online)
Thu06.05.202115:15 - 16:45 Zoom (see TUWEL)Lecture (online)
Thu20.05.202115:15 - 16:45 Zoom (see TUWEL)Lecture (online)
Thu27.05.202115:15 - 16:45 Zoom (see TUWEL)Lecture (online)
Thu10.06.202115:15 - 16:45 Zoom (see TUWEL)Lecture (online)

Examination modalities

Grading based on 3 assignments (A1: 100pt, A2: 100pt, A3: 100pt; Sum 300pt);

ECTS Breakdown:
3.0EC = 75h
7.5 lectures:     15h
Exercise 1:  20h
Exercise 2:  20h
Exercise 3:  20h

Course registration

Begin End Deregistration end
29.01.2021 00:00 10.03.2021 23:59 17.03.2021 23:59


The student has to be enrolled for at least one of the studies listed below


Study CodeSemesterPrecon.Info
066 645 Data Science 2. Semester


No lecture notes are available.


  • Attendance Required!