MATHEMATICS
Course unit partition: Cognomi E-N

Academic year 2020/21
1° year of course - First semester
Professor
Lorenzo TORRICELLI
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


Classroom activities will be held remotely through the Microsoft Teams webmeeting program and Elly supplementary mateiral. Both live and recorded lectures will take place.
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


Online multiple choice test on the Elly website, supervised with the proctoring Respondus software. Preliminary meeting and call held on Teams.

During the exam, the student can use a scientific calculator. Graphic calculators, smartphone, tablet, laptops and smartwatch are not allowed.

Knowledge and the understanding will be tested through three questions about elementary mathematics (1), a problem (2) and three theoretical questions (3).

The learning level, the skills in applying concepts and reasoning ability will be tested by the economic problem (2). In order to solve such a problem, the student will need to select an appropriate mathematical model, and obtain the solution making use of the analytical tools presented in the course. Knowledge of technical language will be assessed through three open questions (3) regarding some of the theoretical topics illustrated during the course.

Indicative marks:
(1): 3/30
(2): 15/16/30
(3): 12/13/30

Lecturers reserve the right of demanding an oral interview to the students, should the necessity arise. The guidelines for the online exams are available at the following URLs

http://selma.unipr.it/
http://selma.unipr.it/wp-content/uploads/Guida-Respondus.pdf
https://elly.(nome dip.).unipr.it

Before the exam students must upload on a OneDrive folder proof of ID and sign off on Elly an oath of due conduct and a waiver for the video recording of the exam. If this is not done before the deadlines the student cannot sit the exam.

The lecturer reserves the right to supplement the exam with an oral examination, if deemed necessary by the circumstances.

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, which will be outlined in such a 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 the summer session, in accordance with the evolution of the standing emergency situation.
The Syllabus, the detailed program and previous exam scripts 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