Physics, Chemistry, Informatics Biostatistics and English

A.Y. 2016/2017
14
Max ECTS
144
Overall hours
SSD
CHIM/03 CHIM/06 FIS/07 L-LIN/12 SECS-S/02
Language
Italian
Learning objectives
Acquisizione dei concetti fondamentali delle diverse discipline - fisica, chimica, informatica e biostatistica - per la comprensione dei fenomeni biologici e consolidamento delle conoscenze della lingua inglese.
Expected learning outcomes
Undefined
Course syllabus and organization

Single session

Responsible
Lesson period
First semester
ATTENDING STUDENTS
Modulo: Fisica
Course syllabus
OBJECTIVES:
Presentation of the basic principles of physics, with references and applications to some topics in Medicine and Biology in order to highlight the importance of the subject for the analysis and understanding of natural phenomena.

PROGRAM:
Basic concepts of classical mechanics (space, time, velocity, acceleration, energy, force, work, potential energy, kinetic energy, power) [8 hours];
Statics and dynamics, rotational motion, machines and levers, friction [5 hours];
Thermodynamics (the phases of matter, temperature, heat, energy conservation, entropy) [4 hours];
Statics and dynamics of fluids [3 hours];
Introduction to electromagnetism and optics [2 hours];
Introduction to acoustics and wave phenomena [1 hour];
Introduction to atomic physics and radiation [1 hour].

Starting from the fourth lesson, in the first 30 minutes of the class exercises, related to the topics already covered in previous lessons, are proposed and solved
Modulo: Chimica
Course syllabus
AIMS
a) basic concepts of general, inorganic and organic chemistry for molecular understanding of the biological events; b) stoichiometric calculations needed to laboratory protocols; c) Structure of simple organic compounds and main reaction mechanisms.

SYLLABUS
Theoretical classes
Electronic configurations of atoms; periodic table, inorganic nomenclature, chemical bonds.
Stoichiometry
Chemical kinetics. Homogeneous and heterogeneous equilibria; notes on stones
Acids, bases and buffer solutions; notes on physiological buffers
Chemical thermodynamics, electrochemistry and osmotic pressure
Coordination compounds
Saturated and unsaturated hydrocarbons
Stereochemistry
Structure and reactivity of main organic functional groups

Practical classes
Exercises on inorganic nomenclature
Exercises on stoichiometric calculations
Exercises on pH calculation
Exercises on thermodynamics, electrochemistry and osmotic pressure
Exercises on recognition of main organic functional groups
Exercises on stereochemistry and on reaction mechanisms
Modulo: Informatica e Biostatistica
Course syllabus
Computer science and Biostatistics
Aims: acquisition of the basic concepts of computer science and descriptive and inferential statistics applied to biological data, acquisition of basic skills for the use of word processors and spreadsheets for the analysis of biological data.
Computer Science:
Concept of data and information. Encoding data, letters and images. Numbering decimal, hexadecimal, binary. The encoding of texts: the ASCII format. The formats for images: bitmap graphics and vector graphics. The architecture of the computer. Networks and Protocols. Internet and its rules (TCP / IP, IP address, DNS). Main services of the Internet. Word Processing. Spreadsheet: general description and basic rules. Using a spreadsheet for data analysis: statistical functions and data presentation
Biostatistics:
Introduction: descriptive and inferential statistics. Samples and populations. Types of variables: qualitative, quantitative. Precision, accuracy and distortion.
Data visualization: Absolute, relative and cumulative frequency tables. Representing the frequency distributions, Rule of Sturges, diagrams and histograms, percentiles and quantiles, contingency tables. Scatterplot, line chart, maps.
Describing Data: Measures of location and dispersion, geometric and arithmetic mean, median, mode, interquartile range. range of variation, deviation, variance, standard deviation, coefficient of variation.
Estimate with uncertainty: sampling distribution of an estimate, standard error and confidence interval.
Probability: basic rules, Venn diagrams, probability trees. Sum the odds. Independence and the product rule. Conditional probability and Bayes' theorem.
Hypothesis testing : null and alternative hypotheses and statistical significance, P-value. Hypothesis testing and confidence intervals. Error of first and second species.
Analysis of proportions: binomial distribution. Estimate of the proportions: confidence interval and standard error of a proportion. Chi-square test and the goodness of fit. Poisson distribution. Contingency tables for the analysis of categorical variables and chi-square test for the analysis of contingency tables.
Normal distribution, formula, assumptions and properties. Skewness and kurtosis of the standardized normal distribution. The central limit theorem. Normal approximation to the binomial distribution
Iinference in a population with a normal distribution: t-distribution, assumptions and properties. t-test for one sample. Comparison between two means, paired comparison between means, comparing the means of two samples.
Comparisons between means of multiple groups: analysis of variance. Measurements of relationship between variables: covariance, correlation and linear regression. Least squares. Linear regression.
Modulo: Inglese
Course syllabus
OBJECTIVES
· English skills upgrading
· Development of necessary skills to:
a. extract key information from general and academic English contests;
b. understand and communicate with English native and non-native users;
c. produce and use plain written material in English.
METHODOLOGY
· Reviewing communicative structures and functions of standard English;
· Basic learning of peculiarities and terms of scientific academic English;
· Practicing all 4 language skills (Reading, Listening, Writing and Speaking).
NON-ATTENDING STUDENTS
Modulo: Fisica
Course syllabus
Non previsto
Modulo: Chimica
CHIM/03 - GENERAL AND INORGANIC CHEMISTRY
CHIM/06 - ORGANIC CHEMISTRY
Practicals: 16 hours
Lessons: 16 hours
Professor: Biondi Pier Antonio
Modulo: Fisica
FIS/07 - APPLIED PHYSICS - University credits: 3
Lessons: 24 hours
Modulo: Informatica e Biostatistica
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 5
Practicals: 48 hours
Lessons: 16 hours
Professor: Crepaldi Paola
Modulo: Inglese
L-LIN/12 - LANGUAGE AND TRANSLATION - ENGLISH - University credits: 3
Lessons: 24 hours
Professor: Canepa Gigliola
Professor(s)
Reception:
keeping an appointment by e-mail
Sezione di Zootecnica Agraria, 1st floor, Via Celoria 2
Reception:
Wednesday 14:30-16:00, or in other days by appointment (contact me by e-mail or telephone)
Dip. di Fisica, stanza A/T/S5b (piano 0 edificio LITA), via Celoria, 16