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  1. Courses

MECOF19 - MATHEMATICS FOR ECONOMICS AND FINANCE (MATD)

courses
ID:
MECOF19
Duration (hours):
64
CFU:
8
SSD:
METODI MATEMATICI DELL'ECONOMIA E DELLE SCIENZE ATTUARIALI E FINANZIARIE
Located in:
PESCARA
Url:
Course Details:
MANAGEMENT AND ECONOMICS/CORSO GENERICO Year: 1
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...
  • Overview
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Overview

Date/time interval

Primo Semestre (21/09/2025 - 31/01/2026)

Syllabus

Course Objectives


The course aims to provide students with the fundamental tools of mathematical analysis, with particular emphasis on their applications in economics and finance.
EXPECTED LEARNING OUTCOMES
In line with the general objectives of the Degree Program, the course is designed to impart the following theoretical knowledge and operational skills: solution of equations and inequalities; analysis of real-valued functions of one or more variables; integral calculus and its economic applications; study of plane curves; optimization methods, including constrained optimization; analysis of numerical sequences and series. Through these analytical tools, the course introduces and develops the main mathematical applications to finance, including: interest calculation and capital accumulation; valuation of annuities and amortization schedules; analysis and valuation of bonds; determination of the internal rate of return; study of the term structure of interest rates; analysis of financial duration and the principles of portfolio immunization. With regard to communication skills, the course promotes the acquisition of the symbolic and formal language of mathematics, as well as the development of critical interpretation and effective communication of models and results within a multidisciplinary context, with reference to economics and finance.
In accordance with the educational objectives of the Degree Program, the course aims at developing the following competencies.
KNOWLEDGE AND UNDERSTANDING
At the end of the course, the student: - possesses knowledge of the main tools of mathematical analysis for the study of economic and financial problems; - understands the fundamental concepts related to equations and inequalities, real-valued functions, limits, continuity, differentiation, and integration; - is familiar with optimization methods, including problems with constraints; - understands the basic properties of numerical sequences and series; - is familiar with the main mathematical models used in financial analysis, with reference to interest calculation, cash flow valuation, and performance indicators.
APPLYING KNOWLEDGE AND UNDERSTANDING
The student is able to: - apply differential and integral calculus to the solution of economic problems; - use mathematical models for the analysis and valuation of financial transactions; - solve economic optimization problems and interpret the results in applied terms; - analyze sequences and series in economic and financial contexts; - correctly use the main financial indicators.
MAKING JUDGEMENTS
The student is able to: - identify the appropriate mathematical tools for the solution of economic and financial problems; - critically interpret the results of mathematical models, assessing their economic consistency; - formulate quantitative evaluations in support of economic and financial decision-making; - recognize the limitations of the models employed and the underlying assumptions.
COMMUNICATION SKILLS
The student: - uses mathematical language correctly and rigorously; - communicates the results of quantitative analyses clearly and concisely; - interprets and presents mathematical models in economic and financial contexts.
LEARNING SKILLS
The student is able to: - independently acquire further quantitative tools useful for the study of economics and finance; - deepen knowledge of the subject through individual study; - use the acquired knowledge as a foundation for subsequent courses in economics, statistics, and finance.

Course Prerequisites


Although these topics will be reviewed in the initial lectures, students are strongly advised to have a basic knowledge of the following subjects: symbolic algebraic manipulation, first- and second-degree equations and inequalities, expressions involving radicals, and the equation of a straight line.

Teaching Methods


The course consists of a total of 64 hours of classroom instruction, organized into 2 weekly sessions of 3 hours each. Teaching activities include lectures, devoted to the exposition of theoretical content, complemented by exercises aimed at the practical application of the mathematical tools covered and the solution of problems in economic and financial contexts.
The course is organized according to an approach focused on the continuous improvement of teaching quality, an experimental model that emphasizes interaction with students and the ongoing monitoring of the learning process. Teaching activities are structured into thematic modules and may include, in addition to in-class lectures and exercises, the use of supporting materials and tools via an e-learning platform, to facilitate knowledge consolidation and autonomous learning.
Attendance is not mandatory, but it is strongly recommended, given the progressive nature of the topics and the integration of theoretical exposition with practical exercises.

Assessment Methods


The examination consists of two mandatory written tests.
The first written test is composed of exercises, lasts 2 hours, and is primarily aimed at assessing “learning by doing” and “autonomy and responsibility” (Dublin Descriptors 2 and 3). The score for the first test is graded on a 30-point scale, with a minimum of 0 and a maximum of 26.
The second written test consists of 6 theoretical questions (+0.5 points for each correct answer, –0.5 points for each incorrect answer, 0 points for unanswered questions) and the proof of a theorem (0–3 points). It lasts 10 minutes and is primarily aimed at assessing knowledge (Dublin Descriptor 1). The score for the second test is graded on a 30-point scale, with a minimum of –3 and a maximum of 6.
Each student will attend the review of their own exercise and theory tests and may be asked to explain certain steps of their solutions. The final grade is calculated as the arithmetic sum of the scores of the two written tests.
There are two possible outcomes:- If the final grade is less than 18, the result is insufficient;- If the final grade is 18 or higher, the result is sufficient.
The student has at least three days to accept or decline a grade that is not lower than 18.
The examination procedures are the same for both attending and non-attending students.

Texts


- A. Cambini, L. Martein, "Prerequisiti di Matematica per le discipline economiche ed aziendali", CEDAM 2025 - A. De Sanctis, “Elementi di matematica per le scienze applicate”, Maggioli (2015) - Angelo Guerraggio, "Matematica", Pearson - Samuel A. Broverman, "Matematica finanziaria", Egea

Contents


Mathematical Foundations: - Equations and inequalities - Functions - Limits - Continuity - Derivatives - Integrals - Constrained optimization - Sequences - Series
Applications to Finance: - Compound interest and the effective interest rate - Present value - Nominal interest rate - Nominal effective discount rate - Instantaneous force of interest - Inflation and the real interest

Course Language


Italian

More information


All information related to the course, including lecture notes, supporting materials, exercises, and official announcements, will be provided through the e-learning platform.
Erasmus students are encouraged to contact the instructor to arrange their individual study plan.

Degrees

Degrees

MANAGEMENT AND ECONOMICS 
Bachelor’s Degree
3 years
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People

People

ROSINI MASSIMILIANO DANIELE
Gruppo 01/MATH-03 - ANALISI MATEMATICA, PROBABILITÀ E STATISTICA MATEMATICA
Settore MATH-03/A - Analisi matematica
AREA MIN. 01 - Scienze matematiche e informatiche
Docenti di ruolo di IIa fascia
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