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10616-01 - Lecture: Statistical and Computational Methods for Data Analysis (3 CP)
| Semester | fall semester 2008 |
| 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 SPSS, MS Excel, etc. Tentative Course Outline: * Introduction * Basic concepts and principles of data analysis and data mining * Data collection and cleaning * Knowledge representation * Multivariate methdods, includes (but is not limited to) * correlation and linear regression * non-linear regression * ANOVA, MANOVA * LISREL * Factor analysis and principal component analysis * Segmentation and cluster analysis * Decision trees * Artificial intelligence for data mining * A brief introduction to AI for data analysis * Machine learning * Artificial Neural Networks, Support Vector Machines & co * Fuzzy logic * The road ahead |
| Bibliography | - Lawrence Meyers, Glenn Gamst, AJ Guarino, Applied Multivariate Research, Sage, Thousand Oaks et al., 2006 - Jiawei Han, Micheline Kamber, Data Mining: Concepts and Techniques, 2nd edition - Further references and course material will be provided during the course |
| Weblink | Weblink |
| Admission requirements | Abgeschlossener BA in Wirtschaftswissenschaften sowie Angewandte Ökonometrie (Master) |
| Course application | Belegen in MOnA |
| Language of instruction | English |
| Use of digital media | Online, optional |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
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 | Schritfliche Klausur: 17.12.08, 18:00 - 20:00 Uhr. Schnitz 2 / WWZ Rosshofgasse: A-Z. Bitte kontrollieren Sie die Angaben kurz vor der Prüfung 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 |