Epistemology
A.Y. 2019/2020
Learning objectives
The course aims at developing the basics of probability logic and its application to problems of inductive inference and rational decision. It also aims at giving students an appreciation of how those topics should contribute towards providing a sound methodology for scientific enquiry in the age of "big data"
Expected learning outcomes
Knowledge and understanding
At the end of the course, students
- know the central concepts and reasoning tools of discrete mathematics
- know the central concepts and reasoning tools of classical logic
- know the central concepts in the foundations of probability
- know the central concepts in rational decision theory
Ability to apply knowledge and understanding
At the end of the course, students
- can read and evaluate the scientific literature on inductive reasoning and rational decision
- can apply the tools of logic and probability learnt in the course to solve scientific, philosophical and practical problems
- appreciate the relevance of inductive logic in the current debate on the datacentric revolution in the methodology of the natural
At the end of the course, students
- know the central concepts and reasoning tools of discrete mathematics
- know the central concepts and reasoning tools of classical logic
- know the central concepts in the foundations of probability
- know the central concepts in rational decision theory
Ability to apply knowledge and understanding
At the end of the course, students
- can read and evaluate the scientific literature on inductive reasoning and rational decision
- can apply the tools of logic and probability learnt in the course to solve scientific, philosophical and practical problems
- appreciate the relevance of inductive logic in the current debate on the datacentric revolution in the methodology of the natural
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Unita' didattica A
M-FIL/02 - LOGIC AND PHILOSOPHY OF SCIENCE - University credits: 3
Lessons: 20 hours
Unita' didattica B
M-FIL/02 - LOGIC AND PHILOSOPHY OF SCIENCE - University credits: 3
Lessons: 20 hours
Unita' didattica C
M-FIL/02 - LOGIC AND PHILOSOPHY OF SCIENCE - University credits: 3
Lessons: 20 hours
Professor(s)
Reception:
Tuesdays, 14:00-17:00. Students are kindly asked to get in touch by email to confirm date and hour.
Teams/Slack