3807708: FU_Big Data Analytics

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Semester:WS 14/15
Art:Modul/LV/Prüfung
Sprache:Englisch
ECTS-Credits:3.0
Plansemester:1-6
Lektionen / Semester:30.0 L / 22.5 h
Selbststudium:67.5 h

Modulleitung/Dozierende

Studiengang

Bachelorstudiengang Betriebswirtschaftslehre (01.09.2012)
Masterstudium Architektur (01.09.2014)
Bachelorstudium Architektur (01.09.2014)

Lehrveranstaltungen

Beschreibung

  • Introduction into "Big Data Analytics"
  • Gathering Data with Python
  • Cleaning Up Data with Python
  • Interpreting Data with R
  • Predictive Models with R

Lernergebnisse

  • Repeat the fundamental concepts and definitions in the area of big data analytics
  • Understand the benefits of using and interpreting large data sets derived from various data sources.
  • Solve assignments, especially case studies in the area of smart - Identify relationships between different types of data.
  • Describe data an build prediction models.
  • Compare solutions with regard to their prediction accuracy.
  • Evaluation and select suitable prediction models.

Kompetenzen

Lehrmethoden

  • Lecture with interactive elements
  • Team project work

Voraussetzungen (inhaltlich)

  • Basic programming skills
  • Basic skills of descriptive statistics

Literatur

Field, A. P., Miles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage.
Chang, W. (2013). R graphics cookbook. Beijing: O'Reilly.
Downey, A. (2013): Think Python - How to Think Like a Computer Scientist. Green Tea Press.

Arbeitsmaterial

Will be provided in class

Beurteilung

Passed / failed

Assessment tasks:
Part A: 50 % Mid term presentation
Part B: 50 % Final presentation

Kommentar

Fakultätsübergreifendes Wahlfach:
Es gelten spezielle Anmeldemodalitäten.

Prüfungen

  • P-FU_Big Data Analytics (WS 14/15, in Bewertung)