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COMPUTER LAB FOR ECONOMIC DATA ANALYSIS Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Objectives
Contents Intro to R and RStudio
R syntax, importing data, basic operations, Vectors and Matrices
EDA with R: Basic statistics, Data visualization and Statistical tests
Loops, scripts and other procedures
Linear models and regression
Modello di regression lineare con R
Extended Syllabus 1) Intro to R and RStudio; Installation; Help and other resources
2) R syntax and objects
3) Importing and writing data
4) Vectors and Matrices
5) Subsetting and other operations on data
6) R packages
7) Basic statistics and data visualization
8) Statistical tests
9) Loops, scripts, and other procedures
10) Linear models and regression
Recommended Bibliography
Teaching Methods The course includes 24 hours of lessons divided into 3 weekly lessons of 2 hours held in the multimedia classroom using the R software. Attendance is strongly recommended.
Evaluation methods Verification of learning:
To verify the learning, students must create groups of 3-4 people max.
The exam consists of exposing the presentation of the analysis of a real dataset using the statistical software R. The evaluation will be carried out on an individual basis (i.e. not in a group). To obtain the eligibility, the student will also demonstrate the knowledge acquired through individual questions on the programming rules in R. Non-attending students will be able to choose a dataset (to be agreed by e-mail with the teacher before the exam) and bring the related analysis
Contacts/More Information All information regarding the course, the lecture notes, support materials and exercises and all communications will be available through the e-learning page.
If Health Laws and University regulations allow, teaching activities, teachers office hours’, and exams may take place online (in whole or in part).
For any further information and updates, please refer to the University website.