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| Semester | Herbstsemester 2020 |
| Angebotsmuster | Jedes Herbstsemester |
| Dozierende |
Gonzalo Duran-Pacheco (gonzalo.duran-pacheco@unibas.ch)
Andrea Farnham (andrea.farnham@unibas.ch, BeurteilerIn) |
| Inhalt | Basic concepts of experimental design, data types, descriptive methods, statistical measures, normal distribution, parameter estimation and confidence intervals, basic notions and concepts of statistical tests, knowledge of the basic statistical tests, correlation, regression, analysis of variance. Week 1: Design of Experiments (G. Duran) Week 2: Design of Experiments (G. Duran) Week 3: Design of Experiments (G. Duran) Week 4: Design of Experiments (G. Duran) Week 5: Design of Experiments (G. Duran) Week 6: Descriptive statistics (A. Farnham) Week 7: Lecture break (Exams) Week 8: Normal distribution/parameter estimations (A. Farnham) Week 9: Fundamentals of hypothesis testing (A. Farnham) Week 10: Comparison of means/medians and relative frequencies (A. Farnham) Week 11: Simple linear regression and correlation (A. Farnham) Week 12: Analysis of variance (A. Farnham) Week 13: Linear regression models (A. Farnham) Week 14: Lecture break (Exams) |
| Lernziele | Students know basic descriptive statistical methods. They understand fundamental concepts of inferential statistics and know basic analytic tools, including linear regression modelling and one-way ANOVA. They also know the principles of experimental design. |
| Literatur | Book: Kirkwood, B. R.; Sterne, J. A. C.: Essential Medical Statistics, 2nd edition. Blackwell Science (501Seiten) 2003. |
| Bemerkungen | The course will be based on lecture notes. The statistics program R will be used from November on. Students can also use the web platform BOMS (Basics of Medical Statistics) to do some interactive exercises.In addition to the official lectures, there will be exercise sessions. Film and sound recordings during the course are strictly forbidden (recorders may be confiscated) |
| Weblink | www.boms.ch |
| Teilnahmebedingungen | Completed Bachelor degree |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
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Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.
| Module |
Modul: General Skills and Experimental Tools (Masterstudium: Drug Sciences) Wahlbereich Master Pharmazie: Empfehlungen (Masterstudium: Pharmazie) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | https://pharma.unibas.ch/en/education/assessments-and-credit-points/continuous-assessments/ |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,5 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Departement Pharmazeutische Wissenschaften |