
Course unit
DISCRETE MATHEMATICS AND PROBABILITY
INL1000875, A.A. 2018/19
Information concerning the students who enrolled in A.Y. 2017/18
ECTS: details
Type 
ScientificDisciplinary Sector 
Credits allocated 
Basic courses 
MAT/02 
Algebra 
6.0 
Basic courses 
MAT/06 
Probability and Mathematical Statistics 
3.0 
Course unit organization
Period 
First semester 
Year 
2nd Year 
Teaching method 
frontal 
Type of hours 
Credits 
Teaching hours 
Hours of Individual study 
Shifts 
Lecture 
9.0 
72 
153.0 
No turn 
Examination board
Board 
From 
To 
Members of the board 
11 A.A. 2018/2019 
01/10/2018 
15/03/2020 
TONOLO
ALBERTO
(Presidente)
MARICONDA
CARLO
(Membro Effettivo)
COLPI
RICCARDO
(Supplente)
DETOMI
ELOISA MICHELA
(Supplente)

10 A.A. 2017/2018 
01/10/2017 
15/03/2019 
TONOLO
ALBERTO
(Presidente)
MARICONDA
CARLO
(Membro Effettivo)
COLPI
RICCARDO
(Supplente)

Prerequisites:

Good knowledge of differential and integral calculus (Analisi 1) 
Target skills and knowledge:

Combinatorics. Generating series. Basic Probability theory 
Examination methods:

Oral and written test. 
Assessment criteria:

Knowledge and understanding. This criterion expects students to use their knowledge and to demonstrate their understanding of the concepts and skills of the prescribed framework in order to be able to prove the main results, make deductions and solve problems in different situations. 
Course unit contents:

Discrete Mathematics.
Operations on sets. Sequences, collections, sharings, compositions, and partition.
Fundamental principles. Sample spaces and uniform probability. Occupancy constraints: sequences, sharings, collections and compositions with prescribed occupancy.
Inclusion/Exclusion principle: the cardinality of a union and of an intersection of sets. Derangements.
Stirling numbers: arbitrary partitions and partizione with prescribed occupancy.
Formal power series: definition, infinite sums and composition of formal power series, closed forms of a formal power series.
Generating series: OGF, EGF of sequences.
Probability.
Multiple integral: double integrals over rectangles and normal domains. Change of variables: polar coordinates.
Axioms of probability. Conditional probability and independence. Uniform probability, Bayes formula, independent events.
Discrete random variable: Bernoulli, binomial, geometric, Poisson random variables. Expected value and its properties. Variance and covariance.
Continuous random variables: uniform, exponential, normal variables.
Markov and Chebychev disequalities. Law of large numbers. Central limit theorem.
Joint discrete random variables. Joint discrete continuous variables. Conditional density. Conditional expected value. 
Planned learning activities and teaching methods:

Tests are scheduled along the course. They are useful in order to verify the adequacy of oneself preparation. At the end of each lesson, the notes will be made available on the web page dedicated to the course. 
Additional notes about suggested reading:

It is strongly recommended to attend the course and use the suggested textbooks. 
Textbooks (and optional supplementary readings) 

Mariconda, Tonolo, Discrete Calculus. : Springer, 2016. Unitext, Vol. 103

Ross, Calcolo delle probabilità. : Apogeo, 2013. Terza Edizione

Innovative teaching methods: Teaching and learning strategies
 Lecturing
 Problem based learning
 Questioning
 Flipped classroom
 Auto correcting quizzes or tests for periodic feedback or exams
 Video shooting made by the teacher/the students
 Loading of files and pages (web pages, Moodle, ...)
 Students peer review
Innovative teaching methods: Software or applications used
 Moodle (files, quizzes, workshops, ...)
 Video shooting in studio (Open set of the DLM Office, Lightboard, ...)
 Latex
 Mathematica
 Good Notes (digital ink)
Sustainable Development Goals (SDGs)

