607.926 (21S) Methodology 3: Data Analytics

Sommersemester 2021

Registration deadline has expired.

First course session
01.03.2021 13:00 - 14:30 Online Off Campus
... no further dates known

Overview

Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).

For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
Lecturer
Course title german Methodology 3: Data Analytics
Type Lecture - Course (continuous assessment course )
Course model Online course
Hours per Week 2.0
ECTS credits 4.0
Registrations 13 (30 max.)
Organisational unit
Language of instruction English
Course begins on 01.03.2021
eLearning Go to Moodle course

Time and place

Please note that the currently displayed dates may be subject to change due to COVID-19 measures.
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Course Information

Intended learning outcomes

Introduction to data analytics.

Teaching methodology including the use of eLearning tools

There are two parts - lectures and practice sessions. Practice sessions require mandatory attendance. See the description in Moodle for details.

 Due to Covid-19 all units will be held via BBB Classroom. See the corresponding links in Moodle.

In the practice sessions we will use statistical software R. It would be helpful to install it in advance: https://www.r-project.org/.

Course content

  1. Motivation, Data Collection and Preparation
  2. Data Visualization
  3. Association Rule Learning
  4. Cluster Analysis
  5. Regression Models
  6. Heuristic Methods
  7. Artificial Neural Networks

Prior knowledge expected

Sufficient prior knowledge in statistics as covered by Methodology II: Statistics.

Literature

A significant part of the lecture is covered by “Data Science for Business: What you need to know about data mining and data-analytic thinking” by Foster Provost and Tom Fawcett.

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Examination methodology

Lectures: multiple choice online exam - 60 minutes time for 10 questions with 4 true/false statements each.

Practice sessions: exercises; active participation in the discussion.

Please note that both the successful completion of the practice sessions and the positive result from the multiple-choice exam related to the lectures are necessary in order to complete the Data Analytics VC successfully. If only one of the two parts is not completed successfully Data Analytics VC needs to be repeated altogether.

See description in Moodle for details, especially regarding the practice sessions.

Examination topic(s)

The exam is based on the actual contents discussed in the lecture.

Assessment criteria / Standards of assessment for examinations

Lectures: Of the possible maximal 40 points you must reach at least 70% = 28 points to get a positive grade.

Practice sessions: Based on the checklists and presentations of exercises you must reach at least 60% = 15 points of the possible maximal 25 points to get a positive grade.

Lectures contribute 75% and practice sessions 25% to the total grade.

Please note that both the successful completion of the practice sessions and the positive result from the multiple-choice exam related to the lectures are necessary in order to complete the Data Analytics VC successfully.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Bachelor's degree programme Business Administration (SKZ: 518, Version: 18W.1)
    • Subject: Methoden der Sozial- und Wirtschaftswissenschaften (Compulsory subject)
      • 5.3 Weitere empirische Methoden ( 0.0h VO, VC, VI / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 1., 2., 3. Semester empfohlen
  • Bachelor's degree programme Business Administration (SKZ: 518, Version: 18W.1)
    • Subject: Volkswirtschaftslehre (Compulsory elective)
      • 20.1 SVWL Volkswirtschaftslehre I ( 0.0h VO, KS, VC, SE / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 3., 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Business Administration (SKZ: 518, Version: 18W.1)
    • Subject: Volkswirtschaftslehre (Compulsory elective)
      • 20.2 SVWL Volkswirtschaftslehre II ( 0.0h VO, KS, VC, SE / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 3., 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Business Administration (SKZ: 518, Version: 18W.1)
    • Subject: Volkswirtschaftslehre (Compulsory elective)
      • 20.3 SVWL Volkswirtschaftslehre III ( 0.0h VO, KS, VC, SE / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 3., 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Business Administration (SKZ: 518, Version: 18W.1)
    • Subject: Fach aus dem gebundenen Wahlfachbündel I (Compulsory elective)
      • 26.1 Lehrveranstaltung I ( 0.0h VO, VC, KS, VI / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Business Administration (SKZ: 518, Version: 18W.1)
    • Subject: Fach aus dem gebundenen Wahlfachbündel I (Compulsory elective)
      • 26.2 Lehrveranstaltung II ( 0.0h VO, VC, KS, VI / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Business Administration (SKZ: 518, Version: 18W.1)
    • Subject: Fach aus dem gebundenen Wahlfachbündel I (Compulsory elective)
      • 26.3 Lehrveranstaltung III ( 0.0h VO, VC, KS, VI / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Business Administration (SKZ: 518, Version: 18W.1)
    • Subject: Freie Wahlfächer (Optional subject)
      • Freie Wahlfächer ( 0.0h XX / 9.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Applied Business Administration (SKZ: 518, Version: 14W.3)
    • Subject: Vertiefung aus Volkswirtschaftslehre (Compulsory elective)
      • §10(1) Vertiefung aus Volkswirtschaftslehre ( 2.0h VO / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Applied Business Administration (SKZ: 518, Version: 14W.3)
    • Subject: Vertiefung aus Volkswirtschaftslehre (Compulsory elective)
      • §10(1) Vertiefung aus Volkswirtschaftslehre ( 2.0h KS / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Applied Business Administration (SKZ: 518, Version: 14W.3)
    • Subject: Vertiefung aus Volkswirtschaftslehre (Compulsory elective)
      • §10(1) Vertiefung aus Volkswirtschaftslehre ( 2.0h VO / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Applied Business Administration (SKZ: 518, Version: 14W.3)
    • Subject: Vertiefung aus Volkswirtschaftslehre (Compulsory elective)
      • §10(1) Vertiefung aus Volkswirtschaftslehre ( 2.0h KS / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Applied Business Administration (SKZ: 518, Version: 14W.3)
    • Subject: Freie Wahlfächer (Optional subject)
      • §11 Freie Wahlfächer ( 0.0h XX / 10.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
  • Master's degree programme Applied Business Administration (SKZ: 918, Version: 12W.4)
    • Subject: Freie Wahlfächer (Optional subject)
      • Freie Wahlfächer ( 0.0h XX / 6.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Management Information Systems (SKZ: 522, Version: 20W.2)
    • Subject: Grundlagen des Informationsmanagement und Forschungsmethodik (Compulsory subject)
      • 3.2 Methoden der empirischen Sozialforschung ( 0.0h VO, VI, VC / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 3. Semester empfohlen
  • Bachelor's degree programme Business and Law (SKZ: 519, Version: 12W.3)
    • Subject: Freie Wahlfächer (Optional subject)
      • Freie Wahlfächer ( 0.0h XX / 12.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Business and Law (SKZ: 519, Version: 18W.1)
    • Subject: Volkswirtschaftslehre (Compulsory elective)
      • 7.7.1. SVWL Volkswirtschaftslehre 1 ( 0.0h VO, VC, KS, SE / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Business and Law (SKZ: 519, Version: 18W.1)
    • Subject: Volkswirtschaftslehre (Compulsory elective)
      • 7.7.2. SVWL Volkswirtschaftslehre 2 ( 0.0h VO, VC, KS, SE / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Business and Law (SKZ: 519, Version: 18W.1)
    • Subject: Volkswirtschaftslehre (Compulsory elective)
      • 7.7.3. SVWL Volkswirtschaftslehre 3 ( 0.0h VO, VC, KS, SE / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 4., 5., 6. Semester empfohlen
  • Bachelor's degree programme Business and Law (SKZ: 519, Version: 18W.1)
    • Subject: Freie Wahlfächer (Optional subject)
      • Freie Wahlfächer ( 0.0h XX / 9.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 1., 2., 3., 4., 5., 6. Semester empfohlen
  • Master's degree programme Business and Law (SKZ: 909, Version: 12W.4)
    • Subject: Freie Wahlfächer (Optional subject)
      • Freie Wahlfächer ( 0.0h XX / 6.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme International Business and Economics (SKZ: 516, Version: 19W.1)
    • Subject: Methodology in Business and Economics Research (Compulsory subject)
      • 7.3 Methodology 3 ( 0.0h VO, VI, VC, KS / 4.0 ECTS)
        • 607.926 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
          Absolvierung im 1., 2., 3. Semester empfohlen

Equivalent courses for counting the examination attempts

Wintersemester 2023/24
  • 607.916 VC Methodology 3: Data Analytics (2.0h / 4.0ECTS)
  • 607.926 VC Methodology 3: Data Analytics (2.0h / 4.0ECTS)
Sommersemester 2023
  • 607.916 VC Methodology 3: Data Analytics (2.0h / 4.0ECTS)
  • 607.926 VC Methodology 3: Data Analytics (2.0h / 4.0ECTS)
Sommersemester 2022
  • 607.916 VC Methodology 3: Data Analytics (2.0h / 4.0ECTS)
  • 607.926 VC Methodology 3: Data Analytics (2.0h / 4.0ECTS)
Sommersemester 2021
  • 607.916 VC Methodology 3: Data Analytics (2.0h / 4.0ECTS)