Physics, Chemistry, Informatics Biostatistics and English

A.Y. 2019/2020
Overall hours
CHIM/03 CHIM/06 FIS/07 L-LIN/12 SECS-S/02
Learning objectives
The main objective of the course is to provide students with the basic knowledge of physics and chemistry in order to understand the processes and phenomena, with the theoretical notions for analyzing statistical data, focusing in particular on topics related to their field of activities and with  skills to consolidate the learning of the English language for effective conversation, reading and writing of scientific texts.
Expected learning outcomes
1) Knowledge and understanding: the student will demonstrate knowledge and understanding of the basic principles of the disciplines
addressed in the different modules. The topics cover: the basic principles of Physics, Chemistry and statistical reasoning applied to
biological data of veterinary interest. The organization, consultation and analysis of data with appropriate computer and linguistic tools.
2) Ability to apply knowledge and understanding: the student will demonstre applied skills in: i) solving simple analytical problems
related to the different disciplines, ii) consulting scientific sources and databases, iii) understanding the obtained results; iv)
understanding Italian and English scientific terminology of the different disciplines ; v) use of the basic softwares for the analysis of
biological data, bibliographic references collection and presentation of analytical results.
3) Autonomous assessment: the student will demonstrate autonomy in the efficaceous use of the teaching materials made available
and in the selection of authoritative scientific sources for the understanding and solving of basic analytical questions of the various
subjects and the use of the main softwares.
4) Communication skills: during the frontal and practical activities foreseen in the course and in the exam, the student will demonstrate
skills in presenting and organizing the concepts acquired with the most appropriate scientific terminology.
Course syllabus and organization

Single session

Lesson period
First semester
Prerequisites for admission
Basic notions of mathematics: derivatives and integrals. Moreover, although having a background in English Language would be beneficial in order to maximize the classroom experience, all basic grammar structures and introductory Scientific English relevant to Veterinary Medicine will be taught during the course.
Assessment methods and Criteria
The examination takes place in a separate written tests for each module and consisting in open questions, problems and practical use of basic softwares for the analysis of biological data, bibliographic references collection and presentation of analytical results; the final score is a weighted mean of the scores of each single test
Course syllabus
- INTRODUCTION: · Introduction to Science and Physics · The Scientific method · The measurement of physical quantities, units of measurement · International System, fundamental and derived quantities
- KINEMATICS: · Time · Space · Speed · Hourly law · Average and instantaneous speed · Acceleration
- FORCES: · Strength · The three principles of dynamics · Uniform rectilinear motion · Uniformly accelerated rectilinear motion · The law of universal gravitation and the acceleration of gravity · The weight force · The free fall.
- DYNAMICS: · Principle of energy conservation · Forms of energy · Work and energy · Power · Conservative and dissipative forces · Potential energy · Kinetic energy · Kinetic energy theorem · Conservation of mechanical energy · Linear moment and conservation law · Center of mass · Rotational motions: angular velocity and acceleration · Moment of inertia.
- STATIC: · Moment of a force · Angular momentum and conservation law · Static and its cardinal equations: balance · Levers.
- THERMAL PHENOMENA I: · Dissipative forces: friction · Extensive and intensive properties / quantities · Specific gravity · Pressure · Stages of matter · Molecular interactions and internal energy · Temperature and heat · Heat transfer · The operational measurement of temperature · Thermal expansion / contraction · Thermal capacity and specific heat · Thermal conductivity · Emittivity · Thermodynamics, state variables, thermodynamic systems · Ideal gases, equation of state · Zero principle of thermodynamics · First thermodynamics principle · second thermodynamics principle · entropy · third thermodynamics principle
- FLUIDOSTATICA: · Fluids · Isotropy of pressures · Stevin's law: hydrostatic pressure · Pascal's principle · Archimedes' principle · Surface tension, capillarity · Flow rate.
- FLUID DYNAMICS: · Bernulli's theorem · Viscosity · Laminar motion, turbulent motion
- ELECTROMAGNETIC PHENOMENA: · The electric charge · The atom: microscopic structure · The electric charge · Coulomb force · The electric field and potential · The electric current · The Ohm's laws, resistance and resistivity · Electric power and Joule effect · Magnetic fields
- MEDICAL PHYSICS: · The electromagnetic spectrum and clinical applications · the discovery of X-rays · radiological equipment · CT · Magnetic resonance · Ultrasound · Elements of radiation protection
Teaching methods
Lectures for a total of 3 credits.
Teaching Resources
- The slides shared on Ariel as a teacher
- Reference text: "Physics for Life Sciences" - Bellini - Manuzio - Meinardi - Amaldi, ed. Piccin.
Course syllabus
The Chemistry module (3 CFU, 32 h) is aimed at providing information preparatory to later courses, mainly Biochemistry . Besides basic concepts of general, inorganic and organic chemistry suitable to describing the qualitative and quantitative composition and reactivity of matter, the course deals with basic aspects of chemical equilibrium in aqueous solutions, thermodynamics and kinetics, which are essential to understand any biological process. Each topic is presented in short theoretical lectures, followed by exercise classes consisting in calculations which emphasize the importance of a quantitative approach in science.

Lectures (2 CFU)
Atomic structure. Periodic table. Chemical bonds. Molecular Geometry (2 h)
Stoichiometry (2 h)
Acids and bases (3 h)
Thermodinamics (1 h)
Electrochemistry (1 h)
Colligative properties (1 h)
Hydrocarbons (1 h)
Stereochemistry ( 2 h)
Main functional groups (2 h)
Main reaction mechanisms ( 1 h)

Practice (1 CFU)
Inorganic nomenclature (2 h)
Stoichiometry exercises (3 h)
pH calculations (4 h)
Calculation examples on thermodinamics, electrochemistry and osmosis (3 h)
Organic nomenclature (2 h)
Exercises on stereochemistry (2 h)
Teaching methods
The course is composed by lectures (2 CFU) and theoretical exercises (1 CFU)
Teaching Resources
Learning material on "Ariel". Any University treatise on General and Organic Chemistry
Informatica e Biostatistica
Course syllabus
Learning objectives: Acquisition of basic concepts of computer science and descriptive and inferential statistics applied to biological data. Acquisition of basic skills for the practical use of a spreadsheet for the analysis of biological data.
1. Theoretical Classes
· Introduction to the subject: the importance of biostatistics in Veterinary Medicine. Descriptive and inferential statistics. Samples and populations. Types of variables: qualitative, quantitative. Accuracy, accuracy and distortion (2 hrs)
· Descriptive statistics. Absolute, relative and cumulative frequency tables. Diagrams and histograms. Percentiles and Quantiles.Box-plot. Arithmetic and geometric mean, median, mode, interquartile difference. Range of variation, deviance, variance, standard deviation, coefficient of variation (4 hrs)
· Probability. Sample distributions. Basic rules of probability. Analysis of proportions: binomial distribution. Estimating proportions: confidence interval and standard error of a proportion.. The Poisson distribution (2 hrs).
Normal distribution. Normalized standard distribution. The central limit theorem The sampling distribution of an estimate: the standard error. The confidence interval (2 hrs).
Verifying hypotheses. Null hypothesis and alternative statistical significance and P-value. Check hypothesis and confidence intervals. Error types I and II (2 hrs)
· Inference to a population with normal distribution: distribution, assumption, and properties. The t test for a sample. The t test for comparison between two means. Paired and independent data (2 hrs).
The comparison between the means of several groups: analysis of variance. The F-distribution (2 hrs)
· Relationship between variables: covariance. Correlation and linear regression. Regression anlysis (4 hrs).
The chi-square test- The chi-square distribution. The 2x2 contingency table. Odds ratio (3 hrs)
· Introduction to information science: Information concept, algorithm, coding and language. The encoding of information, data, letters and images. Decimal, hexadecimal, binary numeration. Text encoding: ASCII and UNICODE format. Image formats: bitmap graphics and vector graphics (3 hrs)
· Use of spreadsheets: operators, absolute and relative references, biological data management, formulas and tools for statistical analysis of data (2 hrs)
Data bases: CAB Abstracts, PUBMed, OPAC. Biological databases (4 hrs)

2. Practical classes (Computer Classroom):
· Using Spreadsheets: Importing Data and Formats. Working with tables and charts. Construction of tables and graphs appropriate for the analysis of different types of variables: paddle and overlapping bars diagrams, pie charts; maps; Dispersion diagrams, histograms, Sturges rule, percentiles and quantiles, cumulative frequency distributions (3 hrs)
· Descriptive statistics: Calculation of the principal position and dispersion measurements: arithmetic and geometric mean, mode, median, percentile and quantile. Variation range; Interquartile interval; Deviance standard deviation and variation coefficient. Evaluation of the normality of a distribution (3 hrs)
· Statistical analysis of data using Excel (2 hrs)
· Use of analytical tools to create summary tables (1 hrs).
· Database searches (3 hrs)
Teaching methods
Prerequisito essenziale è il possesso di conoscenze di matematica generale
Teaching Resources
Analisi statistica dei dati biologici.Whitlock M.C.,Schluter D.2010 Ed. Zanichelli
Fondamenti di statistica per le discipline biomediche. Triola M.M., Triola M. F. - Pearson Italia, 2013
Slides and support material (datasets etc.) are available on the course's ariel website [
Course syllabus
1. English Grammar: Present Tense
Reading Comprehension, Vocab Development & Grammar Analysis: Animal Farm Chapter 1
2. English Grammar: Past Tense Part 1
Scientific English: Animal Vocabulary
Reading Comprehension, Vocab Development & Grammar Analysis: Animal Farm Chapter 2
Listening Comprehension & Speaking Development: Video + Classroom discussion (Veterinary & Human
Medicine overlap)
3. English Grammar: Past Tense Part 2
Scientific English: Animal Anatomy
Reading Comprehension, Vocab Development & Grammar Analysis: Animal Farm Chapters 3-4
Listening Comprehension& Speaking Development: Video + Classroom discussion (Animal Psychology)
4. English Grammar: Future Tense and the Subjunctive
Scientific English: Medical Word Building (e.g. Suffixes, Prefixes, etc.)
Reading Comprehension, Vocab Development & Grammar Analysis: Animal Farm Chapter 5
Listening Comprehension & Speaking Development: Video + Classroom discussion (What Animals Think)
5. English Grammar: Hypothetical and Conditional
Scientific English: Medical Vocabulary
Reading Comprehension, Vocab Development & Grammar Analysis: Animal Farm Chapter 6
Listening Comprehension & Speaking Development: Video + Classroom discussion (One-Health
Movement and Diseases)
6. English Grammar: Prepositions
Reading Comprehension, Vocab Development & Grammar Analysis: Animal Farm Chapter 7
Listening Comprehension & Speaking Development: Video + Classroom discussion (One-Health
Movement- Wild Life Veterinarian)
7. Scientific English: Animal Diseases
Reading Comprehension, Vocab Development & Grammar Analysis: Animal Farm Chapters 8&9
Listening Comprehension & Speaking Development: Video + Classroom discussion (Horse Therapy)
8. Scientific English: Types of Medical Tests
Reading Comprehension, Vocab Development & Grammar Analysis: Animal Farm Chapter 10
In-class Practice Exam
Listening Comprehension& Speaking Development: Video + Classroom discussion (Ethics)
Teaching methods
The Course is divided into eight 3-hour Lectures (3 CFU - 24 hours) in which English Language Grammar Structures and Scientific English Vocabulary are first introduced and then reinforced by analyzing the grammar and vocabulary in Animal Farm and scientific articles. Listening and Speaking skills are developed through the use of videos and classroom discussions related to Veterinary Medicine. Classroom participation is strongly encouraged.
Teaching Resources
Murphy, Raymond. English Grammar in Use. Cambridge: Cambridge University Press, 2004.
Orwell, George. Animal Farm. New York: Harcourt, Brace. (Original work published 1945)
Redman, Stuart. English Vocabulary in Use (Pre-intermediate & intermediate). Cambridge: Cambridge University Press, 2003.
CHIM/06 - ORGANIC CHEMISTRY - University credits: 0
Practicals: 16 hours
Lessons: 16 hours
FIS/07 - APPLIED PHYSICS - University credits: 3
Lessons: 24 hours
Informatica e Biostatistica
Practicals: 16 hours
Lessons: 32 hours
Professor: Rizzi Rita Maria
L-LIN/12 - LANGUAGE AND TRANSLATION - ENGLISH - University credits: 3
Lessons: 24 hours
Professor: Mc Intire Amy Marie
su appuntamento telefonico 02 50317930 o via e-mail.
in laboratorio nel seminterrato dell'ex-Istituto di Fisiologia.
on appointment