- Docente: Christian Martin Hennig
- Credits: 6
- Language: English
- Moduli: Christian Martin Hennig (Modulo 1) Christian Martin Hennig (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)
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from Feb 13, 2023 to Mar 15, 2023
Learning outcomes
By the end of the course the student will develop advanced expertise in formulating and implementing statistical approaches to practical problems in a wide variety of subject areas. To integrate material covered in various lecture courses with skills developed through practical work in order to solve real-world problems. By the end of this course students will be able to: - formulate questions of interest and identify relevant informal and formal statistical methodology for a wide variety of practical contexts; - implement the various stages of advanced statistical analysis appropriately in R; - interpret the output of R procedures; - critically collate results and conclusions; - present the main results and conclusions in the form of concise summaries; - present results of analyses in the form of written reports; - critically assess published applications of statistical analysis; - work independently on practical data analysis problems.
Course contents
The course will confront the student with a number of case studies covering different areas such as missing values, regression and related methods, time series and modelling, analysis of ordinal and categorical data.
Readings/Bibliography
To be posted on Virtuale.
Teaching methods
In-class lectures, group work on data sets, student presentations and discussions
Given the nature of the activities, for participating in this course course it is required having participated before in the e-learning activity
Module 1 and 2 on security in places of study
Assessment methods
The course will be assessed by the reports that the groups write and submit on the case studies during the course. Every student also has to present case study results once. Students who cannot give a presentation during the course will be examined orally on flexible individually agreed dates. Missing reports have to be submitted at later deadlines individually (without group work).
The course is not marked quantitatively, but as "idoneo/non idoneo".
Teaching tools
Supporting material to be posted on Virtuale.
Office hours
See the website of Christian Martin Hennig