Mathematical Logic
A.Y. 2023/2024
Learning objectives
The main purpose of the course is to provide the basic knowledge and reasoning skills of Mathematical Logic and its applications to
Computer Science.
Computer Science.
Expected learning outcomes
The student should acquire the ability to model and solve simple logical problems exploiting the techniques presented in the course. Moreover, the student should be able to apply logic techniques to the resolution of specific Computer Science's problems.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Lectures will be available via streaming, and as recorded videos.
Course syllabus
The course consists in the study of the theoretical foundations of the automated deduction techniques in predicate logic, and other computer science applications.
Prerequisites for admission
None.
Teaching methods
Class lessons.
Teaching Resources
· Michael Huth , Mark Ryan. Logic in Computer Science: modelling and reasoning about systems (2nd edition), Cambridge University Press, 2004.
· Mordechai Ben-Ari: Mathematical Logic for Computer Science, 3rd Edition. Springer, 2012.
Web site: https://homes.di.unimi.it/aguzzoli/mathlogic.html
· Mordechai Ben-Ari: Mathematical Logic for Computer Science, 3rd Edition. Springer, 2012.
Web site: https://homes.di.unimi.it/aguzzoli/mathlogic.html
Assessment methods and Criteria
The exam is an oral examination. During the exam, the consultation of texts or notes is not allowed. The evaluation parameters include: knowledge of the course topics and logical reasoning skills. In order to pass the exam the score must be equal or above 18/30. The maximum score is 30/30 with laude.
Educational website(s)
Professor(s)