
Course unit
APPLIED MATHEMATICS AND PHYSICS
AVP7077508, A.A. 2019/20
Information concerning the students who enrolled in A.Y. 2019/20
Lecturers
Teacher in charge 
Teacher in charge not defined yet. 
Other lecturers 
MARTA BRSCIC 

AGR/19 
ECTS: details
Type 
ScientificDisciplinary 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 
SECSS/02 
Statistics for Experimental and Technological Research 
2.0 
Course unit organization
Period 
Annual 
Year 
1st Year 
Teaching method 
frontal 
Type of hours 
Credits 
Teaching hours 
Hours of Individual study 
Shifts 
Practice 
3.0 
24 
51.0 
No turn 
Lecture 
9.0 
72 
153.0 
No turn 
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 Statistics. 
Examination methods:

Students with little knowledge of physics or/and mathematics at the admission test are assigned the “OFA” in Physics or/and Mathematics, respectively. These students are requested to pass specific test during the semester before being admitted to the examination of Applied Mathematics and Physics.
To be defined 
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 antiderivative 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 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 (https://elearning.unipd.it/scuolaamv/). 
Textbooks (and optional supplementary readings) 


