607.916 (21S) Methodology 3: Data Analytics
Overview
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 26 (30 max.)
- Organisational unit
- Language of instruction Englisch
- Course begins on 01.03.2021
- eLearning Go to Moodle course
Time and place
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
- Motivation, Data Collection and Preparation
- Data Visualization
- Association Rule Learning
- Cluster Analysis
- Regression Models
- Heuristic Methods
- 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
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 schemePosition 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 1., 2., 3. Semester empfohlen
-
5.3 Weitere empirische Methoden (
0.0h VO, VC, VI / 4.0 ECTS)
-
Subject: Methoden der Sozial- und Wirtschaftswissenschaften
(Compulsory subject)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 3., 4., 5., 6. Semester empfohlen
-
20.1 SVWL Volkswirtschaftslehre I (
0.0h VO, KS, VC, SE / 4.0 ECTS)
-
Subject: Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 3., 4., 5., 6. Semester empfohlen
-
20.2 SVWL Volkswirtschaftslehre II (
0.0h VO, KS, VC, SE / 4.0 ECTS)
-
Subject: Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 3., 4., 5., 6. Semester empfohlen
-
20.3 SVWL Volkswirtschaftslehre III (
0.0h VO, KS, VC, SE / 4.0 ECTS)
-
Subject: Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 4., 5., 6. Semester empfohlen
-
26.1 Lehrveranstaltung I (
0.0h VO, VC, KS, VI / 4.0 ECTS)
-
Subject: Fach aus dem gebundenen Wahlfachbündel I
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 4., 5., 6. Semester empfohlen
-
26.2 Lehrveranstaltung II (
0.0h VO, VC, KS, VI / 4.0 ECTS)
-
Subject: Fach aus dem gebundenen Wahlfachbündel I
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 4., 5., 6. Semester empfohlen
-
26.3 Lehrveranstaltung III (
0.0h VO, VC, KS, VI / 4.0 ECTS)
-
Subject: Fach aus dem gebundenen Wahlfachbündel I
(Compulsory elective)
- Bachelor's degree programme Business Administration
(SKZ: 518, Version: 18W.1)
-
Subject: Freie Wahlfächer
(Optional subject)
-
Freie Wahlfächer (
0.0h XX / 9.0 ECTS)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 4., 5., 6. Semester empfohlen
-
Freie Wahlfächer (
0.0h XX / 9.0 ECTS)
-
Subject: Freie Wahlfächer
(Optional subject)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
-
§10(1) Vertiefung aus Volkswirtschaftslehre (
2.0h VO / 4.0 ECTS)
-
Subject: Vertiefung aus Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
-
§10(1) Vertiefung aus Volkswirtschaftslehre (
2.0h KS / 4.0 ECTS)
-
Subject: Vertiefung aus Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
-
§10(1) Vertiefung aus Volkswirtschaftslehre (
2.0h VO / 4.0 ECTS)
-
Subject: Vertiefung aus Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
-
§10(1) Vertiefung aus Volkswirtschaftslehre (
2.0h KS / 4.0 ECTS)
-
Subject: Vertiefung aus Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
-
§11 Freie Wahlfächer (
0.0h XX / 10.0 ECTS)
-
Subject: Freie Wahlfächer
(Optional subject)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
-
Freie Wahlfächer (
0.0h XX / 6.0 ECTS)
-
Subject: Freie Wahlfächer
(Optional subject)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 3. Semester empfohlen
-
3.2 Methoden der empirischen Sozialforschung (
0.0h VO, VI, VC / 4.0 ECTS)
-
Subject: Grundlagen des Informationsmanagement und Forschungsmethodik
(Compulsory subject)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
-
Freie Wahlfächer (
0.0h XX / 12.0 ECTS)
-
Subject: Freie Wahlfächer
(Optional subject)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 4., 5., 6. Semester empfohlen
-
7.7.1. SVWL Volkswirtschaftslehre 1 (
0.0h VO, VC, KS, SE / 4.0 ECTS)
-
Subject: Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 4., 5., 6. Semester empfohlen
-
7.7.2. SVWL Volkswirtschaftslehre 2 (
0.0h VO, VC, KS, SE / 4.0 ECTS)
-
Subject: Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 4., 5., 6. Semester empfohlen
-
7.7.3. SVWL Volkswirtschaftslehre 3 (
0.0h VO, VC, KS, SE / 4.0 ECTS)
-
Subject: Volkswirtschaftslehre
(Compulsory elective)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 1., 2., 3., 4., 5., 6. Semester empfohlen
-
Freie Wahlfächer (
0.0h XX / 9.0 ECTS)
-
Subject: Freie Wahlfächer
(Optional subject)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS)
-
Freie Wahlfächer (
0.0h XX / 6.0 ECTS)
-
Subject: Freie Wahlfächer
(Optional subject)
- 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)
- 607.916 Methodology 3: Data Analytics (2.0h VC / 4.0 ECTS) Absolvierung im 1., 2., 3. Semester empfohlen
-
7.3 Methodology 3 (
0.0h VO, VI, VC, KS / 4.0 ECTS)
-
Subject: Methodology in Business and Economics Research
(Compulsory subject)
Equivalent courses for counting the examination attempts
- Wintersemester 2024/25
- Wintersemester 2023/24
- Sommersemester 2023
- Sommersemester 2022
-
Sommersemester 2021
- 607.926 VC Methodology 3: Data Analytics (2.0h / 4.0ECTS)