First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Agricultural Sciences and Veterinary Medicine
Course unit
AVP7077508, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course First cycle degree in
AV2378, Degree course structure A.Y. 2017/18, A.Y. 2017/18
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Degree course track Common track
Number of ECTS credits allocated 12.0
Type of assessment Mark
Course unit English denomination APPLIED MATHEMATICS AND PHYSICS
Website of the academic structure
Department of reference Department of Comparative Biomedicine and Food Science
E-Learning website
Mandatory attendance No
Language of instruction English
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge Piero Fariselli
Other lecturers MARTA BRSCIC AGR/19

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Basic courses FIS/07 Applied Physics (Cultural Heritage, Environment, Biology and Medicine) 6.0
Basic courses MAT/02 Algebra 4.0
Core courses SECS-S/02 Statistics for Experimental and Technological Research 2.0

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

Type of hours Credits Teaching
Hours of
Individual study
Practice 3.0 24 51.0 No turn
Lecture 9.0 72 153.0 No turn

Start of activities 26/02/2018
End of activities 01/06/2018
Show course schedule 2019/20 Reg.2017 course timetable

Examination board
Board From To Members of the board
4 Commissione a.a. 2019/20: dal 01/03/2020 01/03/2020 30/11/2020 AZAELE SANDRO (Presidente)
BRSCIC MARTA (Membro Effettivo)
3 Commissione a.a. 2019/20: fino al 29/02/2020 01/12/2019 29/02/2020 MERANO MICHELE (Presidente)
BRSCIC MARTA (Membro Effettivo)
2 Commissione a.a. 2018/19: dal 01/03/2019 01/03/2019 30/11/2019 MERANO MICHELE (Presidente)
BRSCIC MARTA (Membro Effettivo)
1 Commissione a.a. 2017/18 01/12/2017 30/11/2018 FARISELLI PIERO (Presidente)
BRSCIC MARTA (Membro Effettivo)

Prerequisites: Students are required to have basic background in high school mathematics, possibly including trigonometry.
Target skills and knowledge: To develop theoretical and practical knowledge and skills enabling students to deal with theoretical and formal problems.
To understand the foundation basis Calculus, Physics and data management systems.
Examination methods: Written test
Assessment criteria: The examination focuses on the presented materials and in particular on the exercised solved in classroom. The students are expected to be able to solve by themselves mathematical, statistical and physical problems.
Course unit contents: The course lectures cover:
Basic calculus, such as functions and their graphs. The elementary functions (polynomials, power, exponential, logarithmic, trigonometric). Limits. The limit of the sum, product, quotient and composed of two functions. Derivative and their geometrical meaning. Derivatives of elementary functions. Derivation rules to find function extremes. This will be applied to optimization problems. The concept of integral as anti-derivative and as area of a function. Physics will be treated in the context of biological systems (when possible). It will cover, mechanics, kinetic and potential energy. Energy conservation. Thermodynamics. Pressure, temperature, heat. Temperature scales. Statics and dynamics of fluids. Introduction to electrostatics, currents, magnetism and waves.
General concepts of biostatistics. Descriptive statistic: measures of position and variation. Sampling methodologies. Probability distribution for continuous random variables. Simple linear regression. Basic of parametric test.
Planned learning activities and teaching methods: The course includes 72 lecturing hours of lectures and 24 hours of practical applications and exercises.
Additional notes about suggested reading: Detailed learning objectives and weekly program are available on Moodle (
Textbooks (and optional supplementary readings)
  • David Guichard, Single Variable Calculus. --: --, --. open text book
  • Martin Zinke-Allmang et al., PHYSICS FOR THE LIFE SCIENCES. --: Cengage Learning, 2016. ISBN-13: 978-0176558697
  • Kaps M. and Lamberson W.,, Biostatistics for Animal Science. --: CABI Publishing, --. Cerca nel catalogo
  • Robert G. Brown, Introductory Physics I and II. Duke University: --, --. free here: and