First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Agricultural Sciences and Veterinary Medicine
Course unit
AVP7077918, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course First cycle degree in
IF0365, Degree course structure A.Y. 2017/18, A.Y. 2018/19
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Number of ECTS credits allocated 7.0
Type of assessment Mark
Course unit English denomination MATHEMATICS
Website of the academic structure
Department of reference Department of Agronomy, Food, Natural Resources, Animals and the Environment
Mandatory attendance No
Language of instruction Italian

Teacher in charge SARA DI RUZZA MAT/07

Integrated course for this unit
Course unit code Course unit name Teacher in charge

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Basic courses MAT/07 Mathematical Physics 7.0

Course unit organization
Period First semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Practice 2.0 16 34.0 No turn
Lecture 5.0 40 85.0 No turn

Start of activities 01/10/2018
End of activities 18/01/2019
Show course schedule 2019/20 Reg.2017 course timetable

Examination board
Examination board not defined


Common characteristics of the Integrated Course unit

Prerequisites: Knowledges of elementary algebra (common denominator, algebraic expressions, simplification), simple and quadratic equations, and simple inequalities are prerequisites of the Mathematics and Applied Informatics course.
Target skills and knowledge: On successful completion of the course a student will be able to:

1) understand the basic concepts of mathematical analysis in a real variable;
2) carry out a study of a function in one variable;
3) understand the basic elements of integral calculus;
4) identify maxima and minima of a function in two variables.

1) use the exploratory data analysis to summarize real/experimental information;
2) interpret the results of statistical analysis, also in terms of biological meaning;
3) use the main features of a spreadsheet (Excel) to manage and analyse the data, and of PowerPoint to present the results using, for example, tables and figures.
Examination methods: The successful completion of the Mathematics and Applied Informatics course is achieved after:
- completion of a written exam for the Mathematics module;
- completion of a written exam for the Applied Informatics module.

Both the Mathematics and Applied Informatics examinations are based on questions and exercises. In order to provide the student with the opportunity to measure his/her preparation level, an optional mid-semester test will be scheduled. The date of the test is planned in agreement with lecturers holding courses in the first semester of the firs year. A positive outcome of the test does not exempt the student from the final exam. Examples of mid-semester tests and final exams used in previous academic years will be provided.

Lecturers of the course will assess the two modules and the final score will be the arithmetic mean of the outcomes of the two modules.
Assessment criteria: Assessment criteria to check the preparation of the student are:
1) knowledge of topics presented during classes;
2) ability of using the appropriate terminology;
3) ability of using the appropriate tools and methodologies to solve specific problems.

Specific characteristics of the Module

Course unit contents: The language of mathematics, the straight line and the real numbers, sequences of real numbers, limits of sequences.

The Cartesian plane, straight lines on the plane, parabolas.

Functions and properties of functions, elementary functions, powers, exponential, logarithm, trigonometric functions. Surjective, injective, invertible functions, composition of functions. Equations and inequalities with exponentials and logarithms.

Limits of functions, continuous functions, change of variables in limits, asymptotes.

Derivatives, derivation rules. Use of derivatives for the study of function. Maxima and minima. Convexity. L'Hopital’s rule.

Integral and primitive functions, rules of integration, definite integral and area calculation.

Complements: functions of two variables, partial derivatives, critical points, maxima and minima, Lagrange method.
Planned learning activities and teaching methods: The course is proposed through theoretical lessons (36 hours) and exercises (20 hours).
The lessons will be carried out through the use of the projector, the blackboard and the interactive multimedia supports.
The theoretical explanations will be interspersed with examples and short exercises to get real-time feedback by the students on the discussion of the topics.
Additional notes about suggested reading: The module is covered by slides prepared by the teacher and made available during the lecture period on the e-learning platform of the University of Padua. In particular, the student can connect to the e-learning platform of the School of Agriculture and Veterinary Medicine:

and follow the various links leading to the degree course in Science and Culture of Gastronomy and Catering and to the page of the Mathematics module. For access to the private area, in addition to the personal password, a specific password is required for the module, which will be provided by the teacher in class (can also be requested via e-mail using your institutional address

We strongly recommend that the student follows and studies the subjects done in class day by day. In particular, it is advisable to study the slides in the same order they are provided. In fact, in the first part of the course we have included exercises that gradually introduce the technical difficulties that will then be encountered in the exercises of the second part, including the study of function. For this reason, even if some exercises can be carried out with alternative methods, it is important to understand the solution method proposed by the teacher, because it will also serve later.

The non-attending students can contact the teacher who will provide the indications and the material for the preparation of the exam.
Textbooks (and optional supplementary readings)

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • One Note (digital ink)
  • Latex
  • Mathematica