ANALISI MATEMATICA IModule MODULO A
Academic Year 2023/2024 - Teacher: ANDREA SCAPELLATOExpected Learning Outcomes
The aim of the course of Mathematical Analysis I - Module A is to give the basic skills on real and complex numbers and Differential Calculus for real functions of one real variable.
In particular, the learning objectives of the course, according to the Dublin descriptors, are:
- Knowledge and understanding: The student will learn some basic concepts of Mathematical Analysis and will develop both computing ability and the capacity of manipulating some common mathematical structures, as complex numbers, limits and derivatives.
- Applying knowledge and understanding: The student will be able to apply the acquired knowledge in the basic processes of mathematical modeling of classical problems arising from Engineering.
- Making judgements: The student will be stimulated to autonomously deepen his/her knowledge and to carry out exercises on the topics covered by the course. Constructive discussion between students and constant discussion with the teacher will be strongly recommended so that the student will be able to critically monitor his/her own learning process.
- Communication skills: The attendance of the lessons and the reading of the recommended books will help the student to be familiar with the rigor of the mathematical language. Through constant interaction with the teacher, the student will learn to communicate the acquired knowledge with rigor and clarity, both in oral and written form. At the end of the course the student will have learned that mathematical language is useful for communicating clearly in the scientific field.
- Learning skills: The student will be guided in the process of perfecting his/her study method. In particular, through suitable guided exercises, he/she will be able to independently tackle new topics, recognizing the necessary prerequisites to understand them.
Course Structure
The lectures are complemented by exercises related to the topic of the course and both the lectures and the exercises will be carried out in frontal mode. It should also be noted that, for the Module B of the course, there are 35 hours of theory and 15 hours of other activities (typically, these are exercises). Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the program planned and outlined in the Syllabus.
Required Prerequisites
Attendance of Lessons
Lecture attendance is not compulsory but it is strongly recommended.
Detailed Course Content
For topics marked with an asterisk, proofs are not required.
- Sets of numbers.
- Natural numbers, integer numbers, rational numbers, real numbers. Basic notions on the set N of natural numbers, on the set Z of integer numbers and on the set Q of rational numbers. The set R of real numbers. Some consequences of the axioms on the real numbers*. Intervals. Absolute value of a real number. Bounds for numerical sets. The set N. Archimedean property*. Density of Q and R-Q in R *. Powers with real exponent*.
- Complex numbers. Basic definitions. Total order. Polar coordinates in the plane. Trigonometric form of a complex number. Product and power of complex numbers in trigonometric form. Exponential form of a comples number. Product and power of complex numbers in exponential form. nth roots of a complex number. Algebraic equations.
- Applications with MATLAB. Floating-point numbers, exact arithmetic and floating-point arithmetic, complex numbers.
- Functions and limits.
- Functions.
Basic definitions. Composite function. Inverse function. Real functions of one real variable: monotone functions,
Affine functions and linear functions, even functions and odd functions,
periodic functions, bounded functions and unbounded functions, global minimum and global maximum points. Operations with the functions.
- Limits.
Topology in R. Local minimum and local maximum points. Limits. Theorems on limits. Algebra of limits. Indeterminate forms. Comparison theorems. One-sided limits and theorem on limits of monotone functions*. Theorem on the limit of the composite function*. Sequences: basic definitions, limits, sequential characterization of the limit of a function*, subsequences.
- Applications with MATLAB. Definitions of functions, anonymous function, function handle, user-defined function, plots of functions.
- Continuous functions and local comparison.
- Continuous functions. Definition of continuous function and basic results. Continuity of elementary functions and operations with continuous functions. Singularity points: removable singularity, singularity of the first kind and singularity of the second kind. Properties of continuous functions: local properties and global properties. Theorem on the existence of zeroes and its generalization, Intermediate value theorem, Weierstrass Theorem. Injectivity and strict monotonicity for continuous functions. Theorem on the continuity of the inverse function*. Napier's number*. Fundamental limits.
- Local comparison of functions. Bachmann-Landau symbols, comparison between infinitesimal and infinite functions. Asymptotes. Uniformly continuous functions
- Applications with MATLAB. Nonlinear equations: investment fund, state equation of a gas, population dynamics, bisection method, Newton method, fixed point iterations.
- Differential Calculus.
- Definition of differentiable function and definition of derivative. Geometric and kinematic meaning of the first derivative. Relationship between continuity and differentiability. First finite increment formula. Derivatives of the elementary functions. One-sided derivatives. Point of non-differentiability. Definition of differential. Rules of differentiation. Theorem on the differentiability of the composite function. Theorem on the differentiability of the inverse function.
- Fundamental theorems of Differential Calculus and their consequences. Fermat's Theorem, Rolle's Theorem, Lagrange's Theorem and its consequences (second finite increment formula, Characterisation of the functions with identically null derivative on an interval, monotonicity test and local extrema, Test for the determination of the extrema, Characterisation of stricly monotone functions). De L'Hôpital's Theorem*. Theorem on the limit of the derivative.
Limit of the derivative and points of non-differentiability. Higher-order derivatives. Taylor formula with Peano's remainder* and Taylor formula with Lagrange's remainder*. Concave functions and convex functions: concave functions and convex functions under the differentiability assumption, inflection points, Characterisation of the concavity and the convexity with the monotonicity of the first derivative, Necessary condition for the inflection points, relationship between the concavity/convexity and the sign of the second derivative, general definition of concave function and convex function, test for the inflection points. Higher-order derivative test for the study of stationary points. Qualitative study of a function.
- Applications with MATLAB. Approximation of functions and data: climatology, finance, biomechanics, robotics. Approximation by Taylor's polynomials. Polynomial interpolation. Numerical differentiation: problem and examples (hydraulics, optics, electromagnetism, demography). Approximation of derivatives. Minimization of real functions of one real variable with the golden section and quadratic interpolation method.
Textbook Information
Recommended books for the Prerequisites
[P1] C.Y. Young, Algebra and Trigonometry. Fourth Edition, Wiley (2017).
[P2] C. Y. Young, Precalculus. Third Edition, Wiley (2018).
Recommended books for the course of Mathematical Analysis I
- Recommended books for the Theory:
[T2] R.A. Adams, C. Essex, Calculus. A Complete Course, Pearson (2021).
- Recommended books for the Exercices:
[E2] R.A. Adams, C. Essex, Calculus. A Complete Course, Pearson (2021).
Course Planning
Subjects | Text References | |
---|---|---|
1 | Sets of numbers | [T1, E1]: Ch. 1; [T2, E2]: Ch. 1, App. 1. |
2 | Functions and limits | [T1, E1]: Ch. 2, 4, 5; [T2, E2]: Ch. 1. |
3 | Continuous functions and local comparison | [T1, E1]: Ch. 6, 7; [T2, E2]: Ch. 1. |
4 | Differential calculus | [T1, E1]: Ch. 8, 9; [T2, E2]: Ch. 2, 3, 4. |
Learning Assessment
Learning Assessment Procedures
Self-assessment tests
During
the period of delivery of the lessons, some self-assessment tests will be
administered. These self-assessment tests have the task of guiding the student
in the gradual learning of the contents displayed during the lessons. In
addition, the self-assessment tests allow the teacher to quickly implement any
additional activities aimed at supporting students in view of the exams.
Structure of the exam
The Mathematical Analysis I exam can be passed in two ways.
Mode 1: mid-term tests and oral test
There are two mid-term tests: the first focuses on the contents of Module A, while the second focuses on the contents of Module B. Once both written mid-term tests have been passed, there is a mandatory oral test which mainly focuses on the contents of the written intermediate tests. The oral exam calendar will be prepared by the Examination Commission which will take into account, where possible, any preferences expressed by the students.
In the case that the oral test is not sufficient, the Exam Commission will indicate to the Student a further date on which it will be possible to take this test again. It will not be necessary to take the intermediate written tests again.
It is possible to take the second mid-term written test only if the first has been previously passed. The duration of each mid-term written test is 180 minutes.
There are three useful dates for the written mid-term test related to Module A: two within the First Exam Session and one during the period of suspension of teaching activities scheduled for the month of April 2024. The second mid-term test will be carried out at the end of the second period of training activity. All the dates of the aforementioned tests are regularly included in the Exam Calendar which can be consulted on the degree course web page.
The student who, despite having passed the first intermediate test, has not passed or taken the second intermediate test scheduled at the end of the second period of Educational Activity, will be able to take this test during one of the sessions of the Second Exam Session or the Third Exams session. Alternatively, the student can take the exam following Mode 2. The student who has not passed or taken the first mid-term test will have to take the exam following Mode 2.
Each mid-term test consists of a written test and an oral test.
The oral exam is compulsory and can only be accessed after passing the written mid-term test. Each mid-term test is considered passed if and only if the
interview relating to it has been passed, that is, if the student has obtained
a score of at least 18/30. It is possible to take the second mid-term test only
if the first has been previously passed. The duration of each written mid-term
test is 120 minutes.
Mid-term tests dates
The dates of the written intermediate tests can be found on the degree course website.
Structure of the written mid-term tests
Each intermediate written test has the same structure. In each mid-term written test, three theory questions and four exercises will be proposed.
Evaluation of the mid-term tests and final grade
The maximum grade obtainable in each written mid-term test is 30/30. Each written mid-term test is passed if the student has achieved a score of at least 18/30. A passing grade (18/30) is obtained if and only if correctly answers two theory questions and correctly solves two of the four proposed exercises.
In formulating the final grade, the grades obtained in the two intermediate written tests and the evaluation of the oral test are taken into account.
Mode 2: complete written exam and compulsory oral exam
In this mode, only one written test is proposed which focuses on the contents of Module A and the contents of Module B and, once passed, the student will have to take the oral test. The written test lasts 180 minutes.
Exam dates
The dates of the exams can be found on the degree course website.
Structure of the written test
In the written test, five exercises will be proposed.
Evaluation of the written test
The maximum mark that can be obtained in the written test is 30/30. The written test is considered passed if the student has achieved a score of at least 18/30. A passing grade (18/30) is obtained if and only if the student correctly solves three of the five proposed exercises.
Oral test and final grade
The oral test covers all the topics of the course (see the "Course contents" section of the Syllabus relating to Module A and the Syllabus relating to Module B). When formulating the final grade, the grade obtained in the written test and the evaluation of the oral test are taken into account. The oral exam calendar will be prepared by the Examination Commission which will take into account, where possible, any preferences expressed by the students. In the event that the oral test is not sufficient, the Exam Commission will indicate to the Student a further date on which it will be possible to take this test again. It will not be necessary to take the written test again.
Note. Information
for students with disabilities and / or SLD
To guarantee equal opportunities and in compliance with the
laws in force, interested students can
ask for a personal interview in order to plan any compensatory and / or dispensatory measures,
based on the didactic objectives and
specific needs. It is also possible to
contact the referent teacher CInAP (Center for Active and Participated Integration - Services for
Disabilities and / or SLD) of the Department of Electrical, Electronic and Computer Engineering.
Note. Verification of learning can also be carried out electronically, should the conditions require it. In this case, the duration of the written test may be subject to change.
Examples of frequently asked questions and / or exercises
All the topics mentioned in the program can be requested during the exam.
The attendance of the lessons, the study of the recommended texts and the study of
the material provided by the teacher (handouts and collections of exercises
carried out and proposed) allow the student to have a clear and detailed idea
of the questions that may be proposed during the exam.
An adequate exposition of the theory involves the use of the rigorous language characteristic of the discipline, the exposition of simple examples and counterexamples that clarify the concepts exposed (definitions, propositions, theorems, corollaries).
The main types of exercises related to the Module A of the course of Mathematical Analysis I are:
- Finding the extrema of a numerical set.
- Exercises on complex numbers (algebraic manipulations, writing complex numbers in algebraic, trigonometric and exponential form, determination of the nth roots of a complex number, representations of geometric places in the Argand-Gauss plane, equations in the complex field).
- Calculation
of limits.
- Study of the continuity and differentiability - and computation of derivatives - of real functions of a real variable.
- Classification of points of singularity and points of non-differentiability.
- Issues concerning the invertibility of functions and calculation of the derivative of inverse functions.
- Qualitative study of a function and applications (e.g., study of a function and its qualitative graph, proof of the existence of solutions of nonlinear equations).