• Edizioni di altri A.A.:
  • 2015/2016
  • 2021/2022
  • 2022/2023
  • 2023/2024
  • 2024/2025

  • Language:
    Italian 
  • Textbooks:

     
  • Learning objectives:
    The training course of the discipline is aimed at developing both the
    inductive capacity and the logical-deductive process of the students.
    The aim of the course is, in fact, to provide students with some basic
    tools to be used in dealing with economic-financial problems that can be
    solved through mathematical modeling and to stimulate students to
    acquire a rigorous and essential language.
    In particular, we will study the preparatory knowledge for learning
    professional subjects, such as financial mathematics, statistics, probability and
    economic-financial- business subjects present in the training courses of the Degree
    Course.
    To this aim, we will provide the basics of linear algebra, differential and
    integral calculus and optimization, which constitute an effective tool for
    the detection, measurement and quantitative analysis of economic and financial
    phenomena.
    At the end of the course the student will be able to formalize some
    economic and financial problems in mathematical terms, identifying the initial
    data and the most suitable mathematical tools for an efficient and
    rigorous solution, as well as providing an economic interpretation of the
    results obtained .
    Expected learning outcomes:
    Knowledge and understanding and ability to apply them:
    The student will receive the basic tools that will allow him to compare
    himself with modern formal approaches to economics and financial sciences. We will also try to give an idea of the possible applications of
    the tools introduced, educating the student to a rigorous approach to the
    analysis of economic phenomena.
    In particular, the student will be able to rigorously analyze a
    mathematical problem and use the basic concepts in order to draw
    appropriate conclusions. He will be able to conduct mathematical
    reasoning through the introduction of rigorous definitions and the
    demonstration of some particularly significant theorems and to apply the
    learned knowledge to the formalization of some basic economic, financial and
    business.
    The rigor of the mathematical treatment will allow the student to acquire
    a mindset that can be useful to him for the other subjects of his
    university course and, later, more generally, for all the professional
    themes he will meet.
    Autonomy of judgment:
    The teaching of general mathematics will allow the student to acquire the
    tools to evaluate economic phenomena also in terms of
    quantity, as well as the usual legal and economic aspects studied in other
    disciplines of the Degree Course in Economics and Commerce.
    The student will be educated to autonomously elaborate the most
    appropriate approach to the proposed problems and to judge the
    formalization proposed by different points of view such as, for example,
    the power of the mathematical tool.
    Communication skills:
    The student must be able to use the technical terms, to be able to
    express appropriately the formalization of a problem and the results
    obtained with it. The course will provide the student with the ability to
    transfer the acquired knowledge and will enable him to possess and know
    how to use the appropriate tools both to highlight the quantitative
    aspects of typical economic problems, and to solve them after
    their mathematical formalization.
    Learning ability:
    Passing the exam must have enabled the student to acquire skills that
    can address not only the study of other courses in the mathematical statistical area, but also the resolution of economic-financial problems. 
  • Prerequisite:

    Basic notions of logic and set theory.
    Algebraic computation: powers, logarithms, exponentials; algebraic
    equations and inequalities (integer and fractional), irrational, logarithmic
    and exponential; systems of equations and inequalities.
    Basic elements of analytical geometry.
    The preliminary knowledge is recalled within the lessons of the OFA course.
     
  • Teaching methods:

    The course is based on about seventy hours of lectures, where the
    program topics will first be presented in an intuitive way and then strictly
    formalized. Both the theoretical aspects of each topic and the
    applications of the mathematical tools described will be studied in depth,
    paying particular attention to possible applications in economics and finance. Within the lectures, exercises similar to those
    required during the exam will be carried out, which will allow the student
    to master the topics of the course.
    Each week, students will be offered homework exercises through the
    course webpage.
     
  • Exam type:

    The final verification of the learning will take place with a written exam
    consisting of 6 exercises. The correct resolution of the first exercise,
    containing questions on the basic notions, is preparatory to the correction
    of the rest of the paper. The other five exercises will tend to check if the
    course objectives have been achieved; in particular we will verify the
    knowledge of the notions deepened during the lessons and related to the
    differential calculus in one and two variables and integral with respect to
    a variable, to the optimization and to the bases of linear algebra. The
    student must demonstrate that he has developed the ability to master
    and understand the quantitative tools in the areas described in the
    course objectives. The overall score is given by the sum of the scores
    attributed to the individual exercises. The minimum mark for passing the
    exam is 16/30. For a vote between 16 and 18 excluded it will be
    compulsory to take an oral exam to pass the exam. For an assessment
    from 18/30 onwards, the oral exam will be optional, except if explicitly
    requested by the teacher when the results of the written exam are
    published. During the written test, the date and time of any oral test and
    verbalization will be established by mutual agreement.
    The duration of the written test is two and a half hours.
     
  • Sostenibilità:

     
  • Further information:
    For any other information to contact flavia.antonacci@unich.it 


Differential and integral calculus for one variable functions. Numerical series. Elements of Linear Algebra.

REVIEW (1 CFU): Sets theory. The set of real numbers: properties e
geometric representation. Integer, fractional, irrational equations and
inequalities and with the absolute value. Review of analytical geometry.
Exponentials and logarithms: definitions and properties. Exponential and
logarithmic equations and inequalities.
ELEMENTARY FUNCTIONS (1 CFU): Definition and properties of
real functions of one real variable. Inverse function. Composed function.
Monotone functions. Limited and unlimited functions, maximum and
minimum of a function. Polynomials functions and rational functions.
Exponential functions and logarithmic functions. Trigonometric functions.
Sequences: definitions and properties.
FUNCTION LIMITS (1 CFU): Definition and properties of the limits for a
function. Properties on
calculation of limits. Indeterminate forms. Notable limits. Continuous
functions.
Discontinuity. Theorems on continuous functions.
DIFFERENTIAL CALCULATION (2 CFU): Incremental fraction.
Definition of derivative. Derivability and differentiability. Geometric
meaning of the
derivative. Derivability and continuity. Angular and cusp points. Higher
order derivatives. Rules of derivation. Rolle's theorem. Theorem of mean
value (of Lagrange). Monotone functions and first derivative. De L’Hospital
theorems and their applications. Relative and absolute maxima and
minima of a function. Convex functions. Applications: study of the graph
of a function. Optimization problems.
INTEGRAL CALCULATION (1 CFU): Primitive of a function.
The indefinite integral and its properties. The definite integral:
construction and properties. The
fundamental theorem of integral calculus. Integration by parts and by
replacement. Calculation of areas of plane figures. Generalized integrals.
ELEMENTS OF LINEAR ALGEBRA (2 CFU): Matrices and operations
between matrices. Square matrices.
Inverse of a matrix. Transposed of a matrix. Determinants: calculation
and properties.
Rank of a matrix. Resolution of linear systems. Cramer's and Rouchè Capelli's theorems.
NUMERICAL SERIES (1 CFU): Definition and properties. Convergence and divergence: criterion for positive and with alternate terms series.

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