Learning objectives
Knowledge and understanding:
At the end of this course the student should know the essential definitions and results of the analysis in one variable, and he should be able to grasp how these enter in the solution to problems.
Applying knowledge and understanding:
The student should be able to apply the forementioned notions to solve medium level problems, and to understand how they will be used in a more applied context.
Making judgements:
The student should be able to evaluate coherence and correctness of the results obtained by himself or offered him.
Communication skills:
The student should be able to communicate in a clear and precise way, also in a context broader than mere calculus.
Prerequisites
Prerequisites: elementary algebra; trigonometry; analytic geometry; powers and rational numbers; exponentials and logarithms; elementary functions.
Course unit content
Functions depending on one variable.
Full programme
Elementary algebraic properties of the real numbers (standard
types of equations and inequations); logic and set theory.
Numerical sets: natural numbers and induction principle;
combinatoric calculus; rational numbers; real numbers and supremum
of a set; complex numbers and n-roots.
Real functions: maximum and supremum; monotonicity; odd and even
functions; powers; irrational functions; absolute value;
trigonometric, exponential and hyperbolic functions; graphs of the
elementary functions and geometric transformations of the same.
Sequences: topology; limits and related theorems; monotonic
sequences; Bolzano-Weierstrass and Cauchy theorems; basic
examples; the Neper number “e”; recursive sequences; complex
sequences.
Properties of continuous functions (including mean value,
existence of a maximum, Lipschitz continuity); limits of functions
and of sequences of real numbers; infinitesimals.
Properties of differentiable functions (including Rolle, Lagrange,
Hopital theorems); Taylor expansion (with Peano and Lagrange
remainder); graphing a function.
Indefinite and definite integral: definition and computation
(straightforward, by parts, by change of variables); integral mean
and fundamental theorems; Torricelli theorem; generalised
integrals: definition and comparison principles.
Numerical series: definition, convergence criteria, Leibniz and
integral criteria.
Due to the small number of hours, only some of the main statements are rigorously proved.
Bibliography
Theory and basic examples:
E. ACERBI e G. BUTTAZZO: "Primo corso di Analisi matematica", Universitas editore, Parma.
D. MUCCI: “Analisi matematica esercizi vol.1”, Universitas editore, Parma
Exercises for cross-examination:
E. ACERBI and D. MUCCI: "Esami di Analisi Matematica 1", Vol. 2 and Vol. 3 Universitas editore, Parma, 2023.
Teaching methods
Teaching methods:
Face-to-face lessons. Course notes will be furnished. Face-to-face additional laboratory activities are delivered.
Examination methods:
Written text (divided in two parts) and oral test.
Assessment methods and criteria
Written and oral text at the end of the class.
Knowledges and ability in understanding are verified the first one by the management of the oral examination and the second one by the decoding of the text of the problems.
Skills are checked by means of the resolution of the proposed problems.
Judgement independence is verified if the student is able to select the credible answers and descard the impossible ones.
Communication skill is checked by evaluating the way and correctedness of expression, both in written and oral way, of the mathematical concepts.
Other information
Attending lessons in presence is strongly recommended.
2030 agenda goals for sustainable development
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