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31906-01 - Seminar: Quantitative Methods (6 CP)
| Semester | fall semester 2017 |
| Course frequency | Every fall sem. |
| Lecturers | Christian Kleiber (christian.kleiber@unibas.ch, Assessor) |
| Content | Masterseminar Quantitative Methods in Fall 2017: Topics in Regression and Computational Econometrics The seminar intends to provide an overview of topics that are currently not (or only briefly) covered in any of our MSc level econometrics or statistics courses. This includes special topics in regression, including topics in model selection and computational aspects, and elements of statistical learning (e.g. regression trees and random forests). If there is interest, we can even include optimization methods in econometrics. The idea is that each participant presents a model or method along with an illustration using a data set. We may include a few lab sessions at the beginning of the semester. |
| Learning objectives | Content: Wider view of regression, including computational aspects. Skills: Writing of term papers involving quantitative methods, oral presentations. |
| Bibliography | References will be specific to the chosen topic. General references include Berk RA (2016). Statistical Learning from a Regression Perspective. New York: Springer. James G, Witten D, Hastie T, Tibshirani R (2013). An Introduction to Statistical Learning. New York: Springer. |
| Comments | This announcement is written in English with the intention of reaching a wider audience, but depending on the participants we may proceed in German. |
| Weblink | Weblink |
| Admission requirements | Prerequisites: A minimum of 30 CPs and have passed the following or an equivalent lecture, respectively: Econometrics (12036) |
| Course application | The application for this seminar is done centrally and online from May 15th to June 6th, 2017 with the Studiendekanat. The link to the online application form and more information can be found here: https://wwz.unibas.ch/studium/studiengaenge/master/konsekutiv/masterseminare/ The registration is binding. In case of non-participation after registration it will be noted as "nicht erschienen" in the transcript. For a break up after recieving a subject and title, there will be a "1.0" recorded. In addition, the priority of the wishes for future seminar applications is lost. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
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No dates available. Please contact the lecturer.
| Modules |
Modul: Empirische Forschungsmethoden (Master's degree subject: Political Science) Module: Seminar Papers (Master Business and Economics) Statistics and Computational Science Module (Master's Studies: Actuarial Science) |
| Assessment format | seminar credit |
| Assessment details | Presentation (format: 30 min plus discussion) and paper (approx. 15-20 pages). |
| Assessment registration/deregistration | Registration/deregistration: faculty |
| 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 | Faculty of Business and Economics |