MATHEMATICS
Course unit partition: Cognomi D-J

Academic year 2023/24
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 and five theoretic/practical questions.

The quality of learning, the skill in the applications of the concepts and the independence of judgement will be verified through economic problems: the student will individuate an opportune mathematical model, obtaining the solution through the analytical
tools presented in Course.

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

Marks:
first part: 3/30
second part: 28/30
If the exam, possibly integrated by an oral exam, is excellent, it will be valuated with full marks cum
laude.

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

Further teaching materials, the Syllabus, the detailed program of the
course and the exams already assigned will be
published 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