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10616-01 - Lecture: Applied Data Analysis (3 CP)

Semester fall semester 2009
Course frequency Every fall sem.
Lecturers Dietmar Maringer (dietmar.maringer@unibas.ch, Assessor)
Content Recent years have seen a massive increase in the use of data analysis for business and economic decision making. Driven by the growing availability of mass storage facilities, the collection of data has been facilitated and is heavily used. This, however, has also increased the demand for suitable methods to extract essential information from the data. Traditional methods of statistical multivariate data analysis have been refined and supplemented with new computational approaches. The objective of this course is to discuss and apply main concepts in this area. Having introduced basic methods for data collection and representation, the main focus will be on multivariate methods. Apart from statistical methods, approaches from computational intelligence and machine learning will be introduced. The course includes strong "hands-on" elements in the computer lab where students learn how to apply the concepts to actual data sets, using software such as R, SPSS, MS Excel, etc.

Tentative Course Outline:
* Introduction
* Revision of basic concepts and principles of data analysis and data mining
* Data collection and cleaning
* Knowledge representation
* Multivariate methdods, including ANOVA, principle component analysis, factor analysis, cluster analysis, etc.
* computational approaches, including machine learning and artificial intelligence
* applied work, including solving case studies using relevant software
Bibliography wird in der Lehrveranstaltung bekannt gegeben.
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Admission requirements Abgeschlossener BA in Wirtschaftswissenschaften sowie Angewandte Ökonometrie (Master)
Course application Belegen in MOnA; Eucor-Studierende und Austausch -Studierende melden sich bitte innerhalb der Belegfrist über das Studentensekretariat im Kollegienhaus an. Belegen = Anmeldung zur Prüfung.
Language of instruction German
Use of digital media Online, optional
Course auditors welcome

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Statistics and Computational Science Module (Master Actuarial Science)
Vertiefungsmodul Marketing and Strategic Management (Master Business and Economics)
Vertiefungsmodul Marktorientierte Unternehmensführung (Master Wirtschaftswissenschaften (Studienbeginn vor 01.08.2008))
Vertiefungsmodul Quantitative-empirische Methoden (Master Wirtschaftswissenschaften (Studienbeginn vor 01.08.2008))
Vertiefungsmodul Wirtschaftsinformatik (Master Wirtschaftswissenschaften (Studienbeginn vor 01.08.2008))
Assessment format end-of-semester examination
Assessment details Hausarbeit + schriftliche Prüfung
Schriftliche Klausur: 15.12.09; 14:15 - 15:45 Uhr. WWZ S 14: A-Z. Die Adressen der Prüfungsräume finden Sie hier auf der Homepage des Studiendekanats unter Prüfungen / Räume.
Bitte kontrollieren Sie alle Angaben vor den Prüfungen noch einmal!
Assessment registration/deregistration Registration: course registration
Repeat examination no repeat examination
Scale 1-6 0,1
Repeated registration as often as necessary
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Abteilung Quantitative Methoden

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