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55769-01 - Lecture: Statistical Modelling (6 CP)

Semester fall semester 2023
Further events belonging to these CP 55769-01 (Lecture)
55769-02 (Practical course)
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.
Comments This is a "Lecture with practical courses" awarding a total of 6CPs when both parts are completed.

 

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 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001

Dates

Date Time Room
Wednesday 20.09.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 27.09.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 04.10.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 11.10.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 18.10.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 25.10.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 01.11.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 08.11.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 15.11.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 22.11.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 29.11.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 06.12.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 13.12.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
Wednesday 20.12.2023 08.15-10.00 Spiegelgasse 5, Seminarraum 05.001
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: Mathematical Foundations (Master's Studies: Data Science)
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

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