Back
| Semester | fall semester 2021 |
| Course frequency | Irregular |
| Lecturers | Giusi Moffa (giusi.moffa@unibas.ch, Assessor) |
| Content | Introduction to statistical modelling with hands on case studies implemented with the R statistical software (https://www.r-project.org/) and using R markdown within RStudio (https://www.rstudio.com/products/rstudio/) for reporting. The course will focus on parametric models, including linear and generalised linear models, and will touch upon longitudinal data analysis and multilevel modelling. If time allows we may also cover topics in survival analysis. |
| Learning objectives | By the end of the course students should understand the properties of linear and generalised linear models, determine which statistical model may be appropriate to analyse a given dataset, fit the model with R and interpret the results of the analysis. |
| Bibliography | Each lecture will point to relevant reference material for the topic under study, and lecture slides will be made available. |
| Admission requirements | Basic concepts of linear algebra, calculus, probability and statistics, plus some programming experience. Throughout the course we will use R/Rstudio for hands on statistical analyses. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Wednesday | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Date | Time | Room |
|---|---|---|
| Wednesday 22.09.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 29.09.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 06.10.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 13.10.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 20.10.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 27.10.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 03.11.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 10.11.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 17.11.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 24.11.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 01.12.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 08.12.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Wednesday 15.12.2021 | 12.30-14.30 | Kollegienhaus, Hörsaal 115 |
| Wednesday 22.12.2021 | 12.15-14.00 | Kollegienhaus, Hörsaal 115 |
| Modules |
Modul: Applications and Related Topics (Bachelor's degree subject: Computer Science) Module: Applications and Related Topics (Bachelor's Studies: Computer Science) Module: Applied Mathematics (Bachelor's Studies: Mathematics) Module: Applied Mathematics (Computational Mathematics) (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) Module: Statistics and Computational Science (Master's Studies: Actuarial Science) |
| Assessment format | continuous assessment |
| Assessment details | The grade will be a combination of homework assignments and a written final exam. |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,5 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Fachbereich Mathematik |