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| Semester | fall semester 2022 |
| Course frequency | Irregular |
| Lecturers | Giusi Moffa (giusi.moffa@unibas.ch, Assessor) |
| Content | During this seminar we will critically read and discuss a selection of papers with influential ideas in statistics. The focus may be on classic papers with established important work for the statistical and scientific literature, as well as on more recent articles with high potential. Active participations is expected from all students during all lectures. Each week one (or two) student will give a presentation about a research paper; one (or two) will take the lead in asking questions and moderating the discussion, one (or two) will provide critical and constructive feedback. Therefore each student should play a special role on at least 3 occasions (presenting, moderating, giving feedback). Rough format: ~50 minutes presentation, and ~40 minutes class discussion, with a ~15 minutes break in between. After their presentation, students should also write up a short report with lecture notes providing a synopsis of the paper and highlights from the subsequent discussion, to be handed in within one week of their session. Rough format: overview of the paper and its relevance, specific examples or a small simulation study where appropriate, comprehensive recap of the points raised during the class discussion and the feedback from peers. Aim for 4-10 pages. |
| Learning objectives | * Independent study of research papers. * Prepare and give a scientific presentation. * Communicating and discussing scientific ideas. * Structuring and writing technical reports. |
| Bibliography | A list of selected papers from the statistical literature will be provided in the first semester week and the students will be asked to rank them according to their interest. |
| Comments | Assistant: Ching Wong Before the semester starts students will receive a list of possible papers to choose from, and we will ask them to indicate their interest so that we can use their preferences to guide the assignment wherever possible. The instructor will give an introductory lecture during the first class, on Thursday September 29th. The assignment of topics will be finalised during the first semester week. The first student presentation will take place on October 13th. The class on October 6th will provide the opportunity for an open discussion on general aspects of the seminar, software which may be useful for the presentation and the report, and any other open questions students may have. The assistant will be available to meet students at least once before their session, to answer any questions about the topic and provide feedback on their planned presentation. |
| Admission requirements | There are no formal requirements. However a basic understanding of linear algebra, calculus, probability and statistics, and some programming experience may be helpful. |
| Course application | The number of participants is limited to 20. The places will be allocated after receipt of the registration on MOnA. Registration via mail is no longer necessary. The registrations will be checked at the end of each month. If the seminar is fully booked, you will be informed at the beginning of September at the latest. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Thursday | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Date | Time | Room |
|---|---|---|
| Thursday 29.09.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 06.10.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 13.10.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 20.10.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 27.10.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 03.11.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 10.11.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 17.11.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 24.11.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 01.12.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 08.12.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 15.12.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Thursday 22.12.2022 | 14.15-16.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Modules |
Module: Electives in Data Science (Master's Studies: Data Science) Module: Risk Analysis (Master's Studies: Actuarial Science) Module: Seminars (Bachelor's Studies: Mathematics) Module: Statistics and Computational Science (Master's Studies: Actuarial Science) |
| Assessment format | continuous assessment |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Fachbereich Mathematik |