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| Semester | Frühjahrsemester 2018 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende | Dietmar Maringer (dietmar.maringer@unibas.ch, BeurteilerIn) |
| Inhalt | To counter-act the "data-rich, information-poor" ("drip") syndrome, this course covers concepts and techniques that aim at explorative analysis: finding structure within data, and, ideally, extracting information. These methods have their origins in areas such as machine learning, statistical learning, or data mining. These include (but are not limited to) non-linear regression methods, perceptrons and neural networks, support vector machines, tree-based methods, kernel-based methods, or rule-based methods. Typical applications are classification, prediction, clustering, or dimension reduction. Theoretical presentations are complemented with hands-on examples using the software package R and relevant toolboxes. Furthermore, we will discuss issues such as data preprocessing and data management. |
| Literatur | T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed., Springer 2009. E. Alpaydin, Introduction to Machine Learning, 2nd ed., MIT Press 2010. I.H. Witten, E. Frank, M.A. Hall, Data Mining: Practical Machine Learning Tools and Techniques, 3rd ed., Elsevier 2011. additional literature will be announced in the lectures |
| Weblink | Weblink on ADAM |
| Teilnahmebedingungen | completed BA in Business and Economics and following lecture: 12036 Econometrics |
| Anmeldung zur Lehrveranstaltung | Registration: Please enrol in MOnA. Enrolment = Registration for the exam! |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | Online-Angebot fakultativ |
| HörerInnen willkommen |
| Intervall | Wochentag | Zeit | Raum |
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Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.
| Module |
Modul Schadenversicherung (Masterstudium: Actuarial Science) Modul Statistik und Computational Science (Masterstudium: Actuarial Science) Modul: Kernbereich Wirtschaftswissenschaften (Masterstudium: Sustainable Development) Vertiefungsmodul Marketing and Strategic Management (Master Wirtschaftswissenschaften) Vertiefungsmodul Quantitative Methods (Master Wirtschaftswissenschaften) |
| Leistungsüberprüfung | Semesterendprüfung |
| Hinweise zur Leistungsüberprüfung | Active participation and engagement during the lectures; written assignments (upon agreement); and written exam: 10.04.18; 12:15-13:15. You can still withdraw from the examination by submitting a completed, signed form to our office from 27.03.18 until 06.04.18 / 12:00 o’clock. Withdrawals sent by email will not be accepted. You will find the examination withdrawal form on the Homepage of the Student Dean’s Office. Prior to 26.03.18, please only use MONA for withdrawing. The exam rooms will be published up to 25.05.18. |
| An-/Abmeldung zur Leistungsüberprüfung | Anmeldung: Belegen |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,1 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Wirtschaftswissenschaftliche Fakultät / WWZ, studiendekanat-wwz@unibas.ch |
| Anbietende Organisationseinheit | Wirtschaftswissenschaftliche Fakultät |