|Monday||4:30 PM - 6:30 PM||lesson||Lecture Hall Gino Tessari||from Mar 6, 2017 to Jun 9, 2017|
|Wednesday||3:30 PM - 6:30 PM||lesson||Lecture Hall A||from Mar 8, 2017 to Jun 9, 2017|
The course intends to introduce the fundamental discrete structure by emphasizing their use in the definition of mathematical models of biological relevance. In the first part, after an introduction to the basic discrete structures, the number systems are analyzed, with the number representation systems, and the principle of structural induction. Then, the main concepts of formal language theory are presented, by concluding with the study of the principal combinatorial schemata.
Discrete structures: sets, multisets, sequences, strings, operations, relations, functions, variables, parentheses and expressions. Numbers and induction: number systems, number representations, proofs by induction, definitions by induction of important number sequences. Structural induction over strings, trees e graphs. Outlines of first order logical languages (terms, formulas, interpretations). Formal languages, grammars and automata. Patterns and regular expressions, Chomsky hierarchy, finite state automata. Computing automata and Turing macjine. Decidability, semidecidability ed undecidability. Elements of combinatorics: allocations and partitions, binomial and multinomial coefficients. Enumeration of partitions and multisets.
Written and oral examination.
The written exam requires that the student is able to use correctly the formalism taught in the course for expressing synthetically and correctly the solutions to the problems asked in the exam text.
The oral examination starts by checking the answers given by the student in the written exam, possibly by asking specific clarifications and motivations to specific passages and statements. During this verification the student is also asked to refer about specific points of the course, with the intention of checking the understanding of the main concepts that the course intends to teach.
Manca, V. - Infobiotics. Springer, 2013 (Chapters 5, 6, 7).
Manca V. - Vademecum all'Esame di Metodi Informazionali (with a list of definitions and theorems plus 100 exercises with the corresponding solutions).
|Outcomes Exams||Outcomes Percentages||Average||Standard Deviation|
|18||19||20||21||22||23||24||25||26||27||28||29||30||30 e Lode|
Data from AA 2016/2017 based on 89 students. I valori in percentuale sono arrotondati al numero intero più vicino.