MATHEMATICS FOR DECISION SCIENCES 2-PRACTICE

Anno accademico
2022/2023 Programmi anni precedenti
Titolo corso in inglese
MATHEMATICS FOR DECISION SCIENCES 2-PRACTICE
Codice insegnamento
ET7003 (AF:386252 AR:214637)
Lingua di insegnamento
Inglese
Modalità
In presenza
Crediti formativi universitari
0 su 6 di MATHEMATICS FOR DECISION SCIENCES 2
Livello laurea
Laurea
Settore scientifico disciplinare
SECS-S/06
Periodo
2° Periodo
Anno corso
1
Sede
RONCADE
Spazio Moodle
Link allo spazio del corso
In questo secondo corso di matematica ci occuperemo più di matematica discreta e algebra lineare necessaria per molte applicazioni Informatiche e Statistiche
Capacità di risoluzione e interpretazione di sistemi lineari e uso del calcolo matriciale. Probabilità discreta
Nessuno
We will cover the following topics

- Gauss elimination
- Matrices
- Determinants
- Eigenvalues and eigenvectors
- Difference equations
- Probability
Most of the material will be provided by the teacher. The mathematics of this course is treated in hundreds (if not thousands) of books. A standard book used in Business Schools is

Essential Mathematics for Economic Analysis. By Knut Sydsaeter, Peter Hammond, Arne Strom

It covers much more of what needed for this course and can be a reference for future courses.
Assignments will be given during the practice sessions: the students, divided into groups, have to solve the given exercises and publish the solutions on the blog of the class.
Also there is a final written exam (of two hours): the students will have to solve exercises (most of them similar to those solved in class) and answer some basic theoretical question.
scritto
Regular lectures and group activities
Programma definitivo.
Data ultima modifica programma: 08/09/2022