Analisi Matematica 1 (BIO)
Mathematics 1 Cristina Marcelli
Algebric calculus and analytic geometry.
KNOWLEDGE AND UNDERSTANDING:
The aim of the course is that of providing the theoretical, methodological and practical elements of mathematical analysis with the objective of providing (together with the course of Calculus 2) the mathematical tools commonly employed in the engineering sciences. In particular, the course aims at providing the student with the basic knowledge of the differential and integral calculus for real functions of one variable with a number of applications.CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
In order to develop the students ability to use mathematical methods towards the formulation of models, the analysis and the solution of problems, the main classical results of analysis will be introduced, accompanied by numerous applications. This path will lead the student to achieving the capability of: 1. analizing problems; 2. detecting the methods of solution; 3. choosing the best solving technique.TRANSVERSAL SKILLS:
The expertise acquired in this course will be needed in order to study the material of later courses. Individual and collective problem-solving sessions will improve the ability to develop independent thought and learning capabilities. Oral presentations of the topics taught in the course, with the language proper of the basic disciplines of the degree course will help developing communication skills.
Elements of set theory . The set of the real numbers and its properties. Complex numbers. Numerical sequences and definition of limit. Numerical series and their behavior. Functions of one variable: elementary functions. Limit of a function. Continuous functions and their properties. Differential calculus for functions of one variable. Graph of a function. Some optimization problems. Taylor polynomial . Taylor series . Complex exponential. Integral calculus for functions of one variable: primitive of a function. Improper integral and convergence criteria. Sequences and series of functions: pointwise and uniform convergence. Power series and Fourier series.
Development of the examination
LEARNING EVALUATION METHODS
The student will be assessed through on a written test and an oral test. The written test will assess the ability to solve problems by using the learned techniques. The oral test will assess the learning of the theory and the exposition skills.
LEARNING EVALUATION CRITERIA
In the exams the student have to prove that he understands the concepts presented in the course, that he knows the results and methods presented in the lectures, and finally that he is able to set a problem and solve it properly through the learned methods.
LEARNING MEASUREMENT CRITERIA
In the written test is evaluated the ability to set up and properly solve the posed problems, using their own methods of the course. In the oral exam it is assessed the knowledge of the concepts and results presented in the lectures, the presentation skills and the ability to make connections between the various concepts introduced.
FINAL MARK ALLOCATION CRITERIA
For each of the tests indicated above it is assigned a score between zero and thirty. The student will be admitted to the oral exam only if he passed the written test. The highest rating, equal to thirty of thirty, is achieved by demonstrating in-depth knowledge of the course contents and full autonomy in the performing the test. The minimum assessment, equal to eighteen of thirty, is assigned to students who manage to solve the proposed problems and who demonstrate sufficient knowledge of the topics of matter.The overall grade, out of thirty, is derived from the comparative evaluation of both tests. The praise is reserved to the students who, having carried out the tests correctly and completely, has shown a special independence and excellence.
Hass - Weir - Thomas, Analisi Matematica 1- Pearson
P. Marcellini - C. Sbordone, Analisi Matematica 1- Liguori
- Ingegneria Biomedica (Corso di Laurea Triennale (DM 270/04))