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.

2020S, VU, 2.0h, 3.0EC
TUWEL

Properties

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

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

Subject of course

Theory: Hadoop, Spark
Practical part: implementation of large-scale data processing and machine learning tasks

Teaching methods

Practical implementation of large-scale data processing and machine learning tasks

Mode of examination

Immanent

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu14:00 - 16:0005.03.2020 - 12.03.2020FAV Hörsaal 1 Helmut Veith - INF Lecture
Data-intensive Computing - Single appointments
DayDateTimeLocationDescription
Thu05.03.202014:00 - 16:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu12.03.202014:00 - 16:00FAV Hörsaal 1 Helmut Veith - INF Lecture

Examination modalities

Grading based on 3 assignments (A1: 20pt, A2: 30pt, A3: 50pt; Sum 100pt; A1+A2 >= 35pt, to be eligible for A3!); presence and contributions in lectures mandatory!

ECTS Breakdown:
3.0EC = 75h
6 lectures:        12h
Assignment 1:  12h
Assignment 2:  17h
Assignment 3:  30h
Present + Prep.: 4h

Course registration

Begin End Deregistration end
31.01.2020 00:00 15.03.2020 20:00 15.03.2020 20:00

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

Literature

No lecture notes are available.

Miscellaneous

  • Attendance Required!

Language

English