Elements of Mathematical Analysis 1 A - E
Academic Year 2025/2026 - Teacher: Salvatore D'ASEROExpected Learning Outcomes
Aim of the course is to improve the knowledge of Calculus, learn the basic notions of Real Analysis, understand the concept of proof and use the common tools of Analysis. Students will also be prepared for future courses in Analysis. In particular the course objectives are:
Knowledge and understanding: students will learn calculus for one real variable functions.
Applying knowledge and understanding: by means of simple mathematical models, students will focus on the central role of Mathematics within science and not only as an abstract topic.
Making judgements: students will learn the concept of proof and basic techniques to prove a statement, formulating problems and solving them through rigorous reasonings.
Communication skills: students will learn to communicate with clarity and rigour, both in the oral and written analysis. Moreover, students will learn that using a properly structured language is the the key to clear scientific communication.
Learning skills: students will be stimulated to examine in depth some topics, thanks to individual activities or working in group.
Course Structure
The methods and concepts of the course will be taught through frontal lessons. Problems and results will be discussed in class, in order to deepen student’s understanding and acquire the method of logical reasoning. If needed, lessons will take place online, with the same aims and methods. For each theme of the course, exercises will be solved in class. Most of the exercises discussed in class will be made available on the course’s TEAMS channel, to support students’ individual study.
When lectures are delivered using OneNote, the notes will remain available to students in the Class Notebook within the course’s TEAMS space.
All course announcements will be published on the Studium portal.
Required Prerequisites
Attendance of Lessons
Detailed Course Content
The course will revolve on around the following main themes:
1. Numbers sets and functions
2. Limits of sequences and functions
3. Continuous functions and their properties
4. Differential calculus
5. Application of differential calculus
Any argument contained in the latter can be asked during the final exam.
Textbook Information
For the course:
1. G. Anichini - G. Conti - M. Spadini, Analisi Matematica 1, 3a ed., Pearson2. M. Bertsch, R. Dal Passo, L. Giacomelli, Analisi Matematica, McGraw-Hill Education
3. Teacher's notes on OneNote
Course Planning
Subjects | Text References | |
---|---|---|
1 | Number systems, functions (around 18 hours) | |
2 | Limit of sequences and functions (around12 hours) | |
3 | Continuity (around 6 hours) | |
4 | Calculus (around 8 hours) | |
5 | Applications of differential calculus (around 10 hours) |
Learning Assessment
Learning Assessment Procedures
Learning level will be monitored in class through questions and open discussions. The final exam will be written, in one of the days scheduled by the department. It will last 90 minutes and be splitted in two parts, the Theorical (T) part and the Practical (E) part.
The T part will have two open questions, the E part will have two exercises.
Grades: The T part gives at most 10 points, the E part 20 maximum, for a total maximum of 30 points.
Points are given evaluating both the correctedness of the answers of clarity of arguments involved.
In order to pass the written part the students must earn at least 4 points in the T part and at least 10 point in the E part. Few days after the test, the results will be published and the students who passed the written part can, if they wish, ask for an oral test. The final rest can be the one obtained in the written part or, if an oral discussion is made, its final result. The latter, in this case, is independent of the result of the written part. Teacher may, if the written part is barely sufficient, ask for a further oral test.
The final score of the exam will be
· Not approved: this means that the student failed to grasp the basic concepts and techniques taught in the course
· 18-23: meaning that the student developed minimal confidence in the basic concepts and techniques taught in the course, can solve basic problems and his/her ability to correctly convey mathematical concepts is sufficient but modest.
· 24-27: the student developed good confidence in the basic concepts and techniques taught in the course, can solve problems with good reliability and his/her ability to correctly convey mathematical concepts is good.
· 27-30: the student developed excellent confidence in the concepts and techniques taught in the course, can solve more advanced problems with good reliability, can effectively connect different mathematical ideas and his/her ability to correctly convey mathematical concepts is excellent.
In order to participate to the written part of the exam the student must make a reservation to the exam through SmartEdu. The final exam could also be conveyed via web if conditions require, in which case the test will be exclusively oral, involving both theory and exercises and lasting 20 minutes.
Students with any form of cognitive difficulties are encouraged to discuss with the teacher alternative learning activities, or anyway refer to CInAP at DMI.
Examples of frequently asked questions and / or exercises
· The statement, through correct formal language, of a Theorem
· The proof of a theorem or a proposition
· The precise definition of a mathematical object
· Exhibition of an example having certain required properties
· Exhibition of a counterexample to a mathematical statement
· Finding the true statement among false ones.
Part E:
· Determining extrema of a numerical set
· Producing the graph of a given function
· Determining the equation of the tangent line to a graph at one point
· Computing a limit, or a family of parameter dependant limits
· Verifying a certain asymptotic comparison
· Computing the limit of a recursively defined sequence
· Solving an equation over the complex field
· Verifying an inequality through graphical method
· Determining global and local extrema of a function
· Computing the derivative of an inverse function.
· Solving an equation over the complex field
· Verifying an inequality through graphical method
· Determining global and local extrema of a function
· Computing the derivative of an inverse function.