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.

2024S, VU, 2.0h, 3.0EC
TUWEL

Properties

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

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

Immanent

Additional information

Vorbesprechung/First meeting: March 4th, Monday, 12:00-14:00

 

Location: EI 9 Hlawka HS at Gußhausstr. 27-29 - Neu El (ground floor)

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue08:00 - 10:0005.03.2024 - 25.06.2024FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Data-intensive Computing - Single appointments
DayDateTimeLocationDescription
Tue05.03.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue12.03.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue19.03.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue09.04.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue16.04.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue23.04.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue30.04.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue14.05.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue28.05.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue04.06.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue11.06.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue18.06.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing
Tue25.06.202408:00 - 10:00FAV Hörsaal 1 Helmut Veith - INF 194.048: Data-intensive Computing

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
02.02.2024 00:00 26.03.2024 22:59 21.03.2024 23:59

Precondition

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

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Mandatory2. Semester
066 646 Computational Science and Engineering Not specified

Literature

No lecture notes are available.

Miscellaneous

  • Attendance Required!

Language

English