CODE 80249 ACADEMIC YEAR 2025/2026 CREDITS 6 cfu anno 2 INFORMATICA 8759 (L-31) - GENOVA 6 cfu anno 3 INGEGNERIA BIOMEDICA 8713 (L-8) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR INF/01 LANGUAGE Italian TEACHING LOCATION GENOVA SEMESTER 2° Semester PREREQUISITES Propedeuticità in ingresso Per sostenere l'esame di questo insegnamento è necessario aver sostenuto i seguenti esami: Computer Science 8759 (coorte 2024/2025) CALCULUS 1 57069 2024 Computer Science 8759 (coorte 2023/2024) CALCULUS 1 57069 2023 TEACHING MATERIALS AULAWEB OVERVIEW The course introduces the fundamental concepts and results of probability theory, which are then applied in the fields of information theory and statistical inference. AIMS AND CONTENT LEARNING OUTCOMES Learning how to use the fundamental concepts of Probability Theory to acquire the main ideas of Information Theory, with particular reference to coding theory, and of inference based on the maximum likelihood principle, Bayes' theorem, and Markov chains. AIMS AND LEARNING OUTCOMES At the end of the course, students will have acquired fundamental concepts and results of probability and will be able to apply them to simple problems in information transmission and statistical inference. PREREQUISITES Basic notions of calculus. TEACHING METHODS Traditional. SYLLABUS/CONTENT The course introduces the basic concepts of probability theory and then explores the connections with the fundamentals of information theory and inference. About half of the course is covered through examples and exercises, including the implementation of some algorithms. RECOMMENDED READING/BIBLIOGRAPHY Notes prepared by the instructor. TEACHERS AND EXAM BOARD LORENZO ROSASCO Ricevimento: Appointment by email ALESSANDRO VERRI Ricevimento: Appointment by email LESSONS LESSONS START According to the calendar approved by the Degree Program Board: https://corsi.unige.it/en/corsi/8759/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The exam consists of a written test and an optional oral test for those who wish to improve their written exam grade. During the course, some homework exercises will be assigned, similar to the exam tests. Guidelines for students with certified Specific Learning Disorders, disabilities, or other special educational needs are available at https://corsi.unige.it/en/corsi/8759/studenti-disabilita-dsa ASSESSMENT METHODS The written exam assesses the student's ability to apply the concepts learned in class by solving exercises similar to those covered during the course. FURTHER INFORMATION For further information, please refer to the course’s AulaWeb module or contact the instructor.
