MATHEMATICS
Course unit partition: Cognomi O-Z

Academic year 2018/19
1° year of course - First semester
Professor
Paola Assunta Emilia MODESTI
Academic discipline
Metodi matematici dell'economia e delle scienze attuariali e finanziarie (SECS-S/06)
Field
Ambito aggregato per crediti di sede
Type of training activity
Base
63 hours
of face-to-face activities
9 credits
hub: PARMA
course unit
in ITALIAN

Course unit partition: MATHEMATICS

Learning objectives

In an ever increasing number of contexts it is advisable that a graduate in economic disciplines is able to use quantitative measurements and tools. The main objective of the course is to allow the student to "take possession" of these tools in order to separate the structure of a problem from the context so that he/she can understand and communicate as effectively as possible what is needed to take informed and justified economic decisions.
Furthermore, at the end of the course, the student should:
- understand and properly treat the main models presented in the course;
- be able to solve practical problems;
- show good skills in making judgement;
- clearly communicate what he/she has learned.

Prerequisites

First and second order equations and inequalities.

Course unit content

Linear functions and models.
Linear systems and matrices. Economic applications.
Non-linear models.
Differential Calculus and economic applications.
Integrals. Economic applications.
Functions in several variables.

Full programme

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Bibliography

S. Waner, S.R. Costenoble, Strumenti quantitativi per la gestione aziendale, Apogeo, Milan, 2018.

Teaching methods

Oral lessons.

Assessment methods and criteria

Written examination.
The knowledge and the skill in comprehension will be tested through three questions about elementary mathematics (1), a problem (2) and three theoretic questions (3).

The quality of learning, the skill in the applications of the concepts
and the independence of judgement will be verified through the economic problem (2). In order to solve such a problem, the student will individuate an opportune mathematical model, by obtaining the solution through the analytical tools presented in Course.

The use of an appropriate technical language will be checked through three open questions (3) about the theoretic subjects of the Course.

Indicative marks:
(1): 3/30
(2): 15/30
(3): 12/30

The teacher reserves the right to complete the exam with an oral test, if necessary.

The University will send to the students an email message to their University email address with the result of the exam (through Essetre system). The students can reject the result in a week, through an online procedure, clearly described in the message.

Other information

The Syllabus, the detailed program and the previous exam tests are uploaded on Elly.

2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

Esegreteria.economia@unipr.it
 

Quality assurance office 

Education manager
rag. Giuseppina Troiano
T. +39 0521 032296
Office E. didattica.sea@unipr.it
Manager E. giuseppina.troiano@unipr.it

President of the degree course 

prof. Alberto Grandi
E. alberto.grandi@unipr.it

Faculty advisor

prof.ssa Silvia Bellini
E. silvia.bellini@unipr.it

Career guidance delegate

prof.ssa Chiara Panari
E. chiara.panari@unipr.it

Tutor Professors

prof.ssa Maria Grazia Cardinali
E. mariagrazia.cardinali@unipr.it

prof. Gino Gandolfi
E. gino.gandolfi@unipr.it

prof. Alberto Grandi
E. alberto.grandi@unipr.it

prof. Fabio Landini
E. fabio.landini@unipr.it

prof.ssa Tatiana Mazza
E. tatiana.mazza@unipr.it

prof. Marco Riani
E. marco.riani@unipr.it

Erasmus delegates

prof.ssa Donata Tania Vergura
E. donatatania.vergura@unipr.it
prof.ssa Cristina Zerbini
E. cristina.zerbini@unipr.it
prof. Vincenzo Dall'Aglio
E. vincenzo.dallaglio@unipr.it

Quality assurance manager

prof.ssa Doriana Cucinelli
E. doriana.cucinelli@unipr.it

Internships

E. tirocini@unipr.it