METHODS FOR CAUSAL INFERENCE
Course objectives
Educational objectives The educational goal of the course is students' learning of the main statistical methods used for causal inference. That is, how to answer research questions about the impact of certain causes on a particular outcome. Knowledge and understanding At the end of the course, students know and understand the main methods for causal inference. Ability to apply knowledge and understanding Students learn how to apply the main methods for causal inference also through the use of a statistical software. Judgment independence The discussion of the various methods, even with team works, provides students with the skills necessary to analyze real situations critically and independently. Communicative skills Students acquire the basic elements for reasoning in quantitative terms about causal inference problems. These skills will be further developed through team works on real data. Learning skills Students who pass the exam are able to apply the methods learned in different application contexts.
Program - Frequency - Exams
Course program
Prerequisites
Books
Teaching mode
Frequency
Exam mode
Bibliography
Lesson mode
- Lesson code10612088
- Academic year2024/2025
- CourseStatistical Sciences
- CurriculumData analytics
- Year2nd year
- Semester1st semester
- SSDSECS-S/01
- CFU9
- Subject areaStatistico