FUNDAMENTALS OF CALCULUS AND GEOMETRY
cod. 1007678

Academic year 2024/25
1° year of course - First semester
Professor
Paolo BARONI
Academic discipline
Analisi matematica (MAT/05)
Field
"discipline matematiche per l'architettura"
Type of training activity
Basic
80 hours
of face-to-face activities
8 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives

The objectives of the course are not limited to the simple acquisition of mathematical tools, but we want to emphasize a deeper critical understanding of the ideas and of the thinking attitude. At the end of the course the student must therefore have acquired basic knowledge and skills in mathematics, starting from the structure of the Euclidean space, up to the differential and integral calculus for functions of one real variable. At the same time he will be able to apply such knowledge in a critical way to various concrete problems, in a solid way, and to handle them easily in relation to other areas of knowledge. In particular, the student must be able to:

be familiar with the basic theories of Linear Algebra and of Geometry and apply them to the manipulation of vectors and matrices in Euclidean space, to the computation of determinants, to the resolution of linear systems and simple exercises of linear geometry in space that in particular concern plans, lines and orthogonal projections;
be familiar with the structure of sets of real and rational numbers and with basic concepts of integro-differential calculus for functions of one variable (limits, derivatives, definite and indefinite integrals);
be able to qualitatively study problems such as the behavior of a function for certain values ​​of the independent variable; (knowledge and ability to understand)

through the exercises carried out in class on the topics of the program, learn how to apply the abstract knowledge acquired to simple and concrete cases and, only in the second part of the course, be able to connect different concepts in order to solve complex exercises in an independent way;
use the mathematical method to break down complex problems into more easily attackable sub-problems; (ability to apply knowledge and understanding)

evaluate the consistency and correctness of the results obtained and analyze the appropriate resolution strategies for the proposed exercises; (autonomy of judgment)

learn how to use a formally correct language allowing to communicate both the contents of the program and the logical steps used in the resolution of the exercises, showing clarity of exposure and thought. Frontal lectures and direct comparisons with the teacher will ease the acquisition of a specific and appropriate scientific vocabulary; (communication skills)

autonomously deepen their knowledge; starting from the basic tools provided in the course, learn how to appropriately and effectively use additional tools and mathematical concepts. These will be important in the remaining courses of the Degree. (learning ability)

Prerequisites

There are no prerequisites; a certain familiarity with basic pre-university mathematical concepts is required (operations, algebraic equations and inequalities, properties of powers, trigonometry) which will however be taken up again during the course. In case of gaps, a pre-course is organized for the week preceding the start of the lessons; furthermore, tutoring will be available for the entire duration of the course, with a teacher other than the course owner, during which further exercises will be carried out in order to consolidate the knowledge of students.

Course unit content

The course aims at providing the students with the basic elements of mathematics they can use in the subsequent technical/scientific courses. In particular we want to present an introduction to different basic aspects of linear Algebra, Euclidean Geometry and Mathematical Analysis. The first part will be used to review different concepts of pre-university mathematics and to introduce the real numbers, the numerical structure on which the rest of the course is based. The second part will focus on Euclidean Geometry in space (vectors, lines and planes), matrices and linear systems. Moreover, we will study, with particular attention to the graphic aspect, vector subspaces of R^3 and linear applications. The third and last part will introduce the basic concepts of Mathematical Analysis, with particular emphasis on continuous and differentiable functions, qualitative study of their graphs and integral calculus.

Full programme

Geometry part:

Line as geometrical representation of real numbers.
Cartesian plane. Lines in the plane: cartesian and parametric equations.

Vectors in space, coordinates. Operations between vectors, scalar product. Length, distance, orthogonality, projection of a vector. Cauchy-Schwarz inequality; triangle inequality. Angle between vectors. Vector product in R^3. Similar properties in the n-dimensional space R^n (hints).

Lines and planes in R^3:cartesian and parametric equations. Orthogonality between lines and planes. Membership. Parallelism. Cartesian equations of a line. Projection of a line on a plane. Matrices and operations (sum and product), with properties. Invertible matrices and inverse matrix. Transposed matrix. Determinant of a square matrix. Properties of the determinant. Rank of a matrix. Linear systems and matrices. Matrices and reduced systems. Solutions of a reduced system. Solutions of linear systems: Rouché-Capelli theorem and Gauss method. If time will allow: Vector subspaces (in R^n). Linear combinations and spanned spaces. Linear dependence and independence. Dimension of a subspace.


Analysis part:

Limits for functions: heuristic motivation. Algebraic properties: theorems of sum, product and ratio. Sum, product, ratio and composition of continuous functions. Derivative of a function, right and left. Relation between continuity and derivability; examples of non-derivable functions. Derivatives of elementary functions. Rules of derivation. Relation between the monotonicity of a function and the sign of its derivative. Convexity of a function. Studies of graphs. Notion of primitive of a function and indefinite integral. Elementary integrals. Integration by substitution. Definite integral. Fundamental Theorem of the integral calculus and relation with the indefinite integral.

Bibliography

The material from the lectures of A.Y. 2019/20 (that will be entirely found on the elly platform, in correspondence of the page of the course) will be largely sufficient to face the exam with complete success. As a complement to this, we recommend the following books:

E. Acerbi, G. Buttazzo: Matematica preuniversitaria di base, Pitagora Editrice, Bologna.

L. Alessandrini, L. Nicolodi: Geometria A, Ed. Uninova, Parma.

E. Acerbi, G. Buttazzo: Analisi Matematica ABC, Pitagora Editrice, Bologna.

Each of them deals with different parts of the program; please contact the teacher for suggestions and advice. Lecture notes including several exercises and all the written tests of the previous years will be made available to the students.

Teaching methods

The course consists of 8 credits. According to the indications of the guidelines of the University, the recordings of the lessons of the course held in the Academic Year 2019/20 might be made available, for an indefinite time and at the complete disposal of the students, on the university platforms, as well as the pdfs generated during the lessons. The topics will be proposed from a formal point of view alternating them with significant examples, applications and exercises. The course will give particular emphasis to the application and calculation aspects, while not neglecting a rigorous theoretical aspect that is not an end in itself, but aimed at a greater understanding of the phenomena at stake. In order to promote a systematic, deep and concrete understanding of the course topics, lecture notes with exercises to be carried out in parallel with the study of the theoretical topics will be distributed on the elly portal.

Assessment methods and criteria

Verification of learning will take place through a written test made up of exercises that will be preceded by a simple multiple choice test to preliminarily verify the basic knowledge of the students taking the exam. To simplify the study for students, at the end of the geometry part, a partial assignment can be held (in the same way as above) whose grade will contribute, through a weighted average, to the final grade of the exam. The analysis part will be verified in a partial second in correspondence with the spring session (January-February-April). The partial tests will be considered passed if the student has obtained a mark greater than or equal to 18. For a detailed regulation of the exams, see https://sites.google.com/view/paolobaroni/home/teaching In the written tests, through the proposed exercises and some simple theory questions, the student must demonstrate that he / she possesses the basic theoretical and practical knowledge relating to the course.

Other information

Students are strongly recommended to register on the course web page on the elly portal. This page will be the preferred teacher-student communication tool, while students are invited to contact the teacher directly on their institutional e-mail address. This concerns both ordinary teaching issues (for example, teaching material) and ordinary matters (i.e., the sending of urgent communications regarding teaching).

2030 agenda goals for sustainable development

Istruzione di qualità (Obiettivo 4)

Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.ingarc@unipr.it

Quality assurance office

Education manager:
rag. Cinzia Zilli
T. +39 0521 906433
Office E. dia.didattica@unipr.it 
Manager E. cinzia.zilli@unipr.it 

President of the degree course

Prof. Andrea Zerbi
E. andrea.zerbi@unipr.it

Faculty advisor

Prof.ssa Lia Ferrari
E. lia.ferrari@unipr.it 

Career guidance delegate

Prof.ssa Barbara Caselli
E. barbara.caselli@unipr.it 

Tutor professor

Prof. Andrea Zerbi
E. andrea.zerbi@unipr.it

Erasmus delegates

Prof.ssa Silvia Berselli
E. silvia.berselli@unipr.it 
Prof. Carlo Gandolfi
E. carlo.gandolfi@unipr.it
Prof. Dario Costi
E. dario.costi@unipr.it  
Prof.ssa Sandra Mikolajewska
E. sandra.mikolajewska@unipr.it 
Prof. Marco Maretto
E. marco.maretto@unipr.it 

Quality assurance manager

Prof.ssa Silvia Rossetti
E. silvia.rossetti@unipr.it 

Internships

Prof. Carlo Quintelli
E. carlo.quintelli@unipr.it
Prof. Antonio Maria Tedeschi
Eantoniomaria.tedeschi@unipr.it

Tutor students

William Bozzola – william.bozzola@studenti.unipr.it
Leonardo Cagnolileonardo.cagnoli@studenti.unipr.it
Mathieu Marie De Hoe Nonnis Marzano - mathieumarie.dehoe@studenti.unipr.it
Elena Draghielena.draghi1@studenti.unipr.it
Marco Mambrionimarco.mambrioni@unipr.it
Maria Parentemaria.parente1@unipr.it
Chiara Paviranichiara.pavirani@studenti.unipr.it
Francesca Pinelli francesca.pinelli@studenti.unipr.it
Federica Stabile federica.stabile@unipr.it