MATHEMATICS
Course unit partition: Cognomi E-N

Academic year 2022/23
1° year of course - First semester
Professor
Erindi ALLAJ
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
70 hours
of face-to-face activities
10 credits
hub: PARMA
course unit
in ITALIAN

Course unit partition: MATHEMATICS

Learning objectives

In an ever increasing number of contexts it is expected from a graduate in economic disciplines to be able to proficiently make use of tools for quantitative measurements and analysis. The main objective of the course is to introduce the student to the foundational mathematical concepts used in the economic sciences and to gain the ability to separate the structure of a problem from its 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, it is expected from the student:
-with regards to understanding and knowledge: the student should
understand and show good command the models presented in the course;
- with regards to applying knowledge and understanding: the student
should learn how to solve several practical problems;
- with regards to independent thinking: the student should show good
abilities in making judgements, developing line of reasoning as well as expressing critical capacities;
- with regards to communication skills: the student should be able to clearly and effectively
communicate what he/she has learned;
-with regards to learning skills: the student should update and
consolidate his/her quantitative knowledge and ba able relate this knowledge to the other disciplines in the degree course.

Furthermore, the student should be able to formalize in quantitative terms some economic problems, by recognizing the nature of the basic input, selecting the most adequate mathematical instruments and techniques leading to a solution, and providing a sound economic interpretation of the results.

Prerequisites

First and second order equations and inequalities

Course unit content

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

Full programme

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Bibliography

S. Waner, S.R. Costenoble, Strumenti Quantitativi per la Gestione Aziendale, Apogeo, Milano, 2018.

Teaching methods

1) Knowledge and understanding: classroom lectures.
2) Applying knowledge and understanding: exercise classes.
3) Making judgements: classroom lectures and exercise classes.
4) Communication skills: exercise classes.
5) Learning skills: classroom lectures and exercise classes.

Assessment methods and criteria

Written examination (60 minutes). During the exam, the student can use a scientific calculator. Graphic calculators, smartphone, tablet, laptops and smartwatch are not allowed.

The knowledge and the skill in comprehension will be tested through three questions about elementary mathematics (1), three short problems (2) and three theoretic/practical questions (3).

The quality of learning , the skill in the applications of the concepts and the independence of judgement will be tested by 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 the course. The knowledge of an appropriate technical language will be checked through three questions (3) regarding the theoretic subjets with applications of the course.

Indicative marks:
(1): 3/30
(2): 15/16/30
(3): 12/13/30
If a correct result is not justified in the paper given to the student for the development of the exam, no mark will be assigned.
If the test, possibly integrated by an oral exam, is excellente, it will be valuated with full marks cum laude.
The teacher could ask for an oral test and/or partially modify the written examination, also according to the exigencies of integration with possible online activities.
The University will send to the students an email message to their University email address with the result of the exam (through the Essetre system). The students have the right to reject the result in a week, through an online procedure, clearly described in the message.

Other information

The lecturers reserve the right to modify some of the indications contained in this document, with particular regards to the format of the exam, in accordance with the evolution of the standing emergency situation. Any changes will be communicated to the students in due time.
The Syllabus, the detailed program, previous exam scripts and further teaching materials 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