Course Details

Metodi matematici II

EC0099

Course
Metodi matematici II
Code
EC0099
Academic Year
2024/2025
Curriculum Year
2023/2024
Degree Programme
BUSINESS AND MANAGEMENT
Curriculum
000 - CORSO GENERICO
Course coordinator
-
Lecturers
Credits
6
Lecture Hours
45
Scientific Disciplinary Sector (SSD)
SECS-S/06 - Mathematics for Economics, Actuarial Studies and Finance
Course Type
Single-subject learning activity
Course Delivery
OBB - Obbligatoria
Year
2
Teaching period
Primo Semestre
Campus
ALESSANDRIA
Teaching language
Italian
Course Contents
First module: financial mathematics.

Second module: linear algebra.

Third module: real functions of multiple real variables and their optimization.
Reference Texts
M. D’Amico, G. Fusai e G. Longo, Dispense di Calcolo Finanziario, Algebra Lineare e Ottimizzazione, anno 2015, disponibili nella pagina Moodle del corso.
F. Privileggi, Matematica per l’Economia. Gruppo editoriale Esselibri – Simone, 2008.Il testo è reperibile in biblioteca
S. Margarita - E. Salinelli, MultiMath: Matematica Multimediale per l’Università, Springer, 2004. Available at university library.
Learning Outcomes
1 - a full comprehension of the basic mathematical results regarding the course contents;
2 - being able to choose and use the right tool for solving simple problems related to the course programme;
3 - being able to adapt the instruments to the occurring variants;
4 - being able to adequately and rigorously communicate the logic steps of a problem resolution.
Prerequisites
The course Metodi matematici 1 has to be passed.
Teaching Methods
Lectures and tutorials.
Additional Information
Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/servicesstudents- physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects. When dealing with ESG aspects and the sustainability objective, the importance of good corporate governance will be highlighted in the various profiles, including gender equality.

On the course's page on the website www.dir.uniupo.it all the infos related to the course can be found as well as supplementary didactict resources.
Past exams with solutions are available for downloading.
Assessment Methods
A mandatory written exam and an optional oral exam.

Written part (mandatory):
- 21 exercise (only the best 9 answers are considered) for verifying the knowledge and the comprehension of the course contents as well as the ability to apply these knowledge and autonomously select the best tools to problems solving.

Oral part (optional):
- questions on the course content in order to verify the ability of autonomous analysis and the communication skills.
- analysis of situations which differ from the classical ones in order to verify the ability of learning.

At any time the professor can request, if the situation requires it, an extra evaluation, written or oral.
Detailed Syllabus
Fist part - Linear Algebra. Vectors, matrixes and operations. Linear combination, linear independence, rank. Linear systems; Rouché-Capelli theorem; Gaussian solving method. Application to economics and finance.

Second part – Optimization. Real functions of several real variables. Extreme points, with and without constraints. Weierstrass theorem. Differential calculus and extrem points search, substitution method. Linear programming with 2 variables. Applications to business, economics and finance.

Third part – Financial Mathematics. Discount and capitalization operations. Usual financial laws (simple, compound and commercial laws), equivalent rates. Annuities. Amortization of debts, italian and french amortizing schemes. Variable interest rate debts. Financial operations and decisions. Internal interest rate, italian TAEG. Decisions: net present value (NPV) and adjusted present value (APV). Gordon model. Term structure of interest rates, spot and forward rate. Bond pricing. Bond pricing with default risk.
Expected Learning Outcomes
The student at the end of the course should be ablo to make some simple matrix calculation and solve linerar systems. The student should also know how to analyse a real funcion of several variables, being able to identify its extreme points. Finally, the student should know the standard financial laws and parameters and make financial choices among several projects.
Last update:09-09-2026 00:14:31