Unit PHYSICS, STATISTICS AND INFORMATICS APPLIED TO VETERINARY MEDICINE

Course
Veterinary medicine
Study-unit Code
GP005370
Curriculum
In all curricula
Teacher
Helios Vocca
CFU
8
Course Regulation
Coorte 2018
Offered
2018/19
Type of study-unit
Obbligatorio (Required)
Type of learning activities
Attività formativa integrata

ELEMENTS OF INFORMATICS FOR VETERINARY MEDICINE

Code GP005413
CFU 2
Teacher Helios Vocca
Teachers
  • Sergio Tasso (Codocenza)
Hours
  • 20 ore (Codocenza) - Sergio Tasso
Learning activities Caratterizzante
Area Discipline delle metodologie informatiche e statistiche
Academic discipline INF/01
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents Base concepts of computers and softwares: Hardware architecture. CPU, RAM, kind of memories, Input/Output devices. Software: software di base e software applicativo.

Operative system: general concepts and main operations of Windows SO, task, virtual memory, concepts of algorithm and program.

Word Processor: general concepts and characteristics; properties of characters, paragraph, sections (styles, alignments, heading and footnote, notes, summary, images, tables, symbols etc.).

Spreadsheet: cells (strings, constants, formulas), absolute/relative references, refernces to a rectangular area, functions, standard formats (char type, height, etc.) and special formats (numnbers, currency, dates). Graphics and plots: type of cahrts (histogram, bars, pies, etc.); data series: single and multiple; labels, titles, formatting.

How to create a presentation.

Elements of net communications: computers net, net classification, communication modes, devises

Internet: functioning principles and services: TCP/IP, IP address and DNS, Email, FTP. The World Wide Web: Client and server Web, browsers and their main functions, URL, Information search: search engines and boolean functions like "and", "or", "not".
Reference texts Slides provided by the teacher
Educational objectives At the end of the course the students will know the fundamentals of informatics on compuetr architecture, memories, input/output devices.
The students will be able to use the fundamental operations of a comnputer, will be able to create and delete folders, browsing the file system, manage the connected devises.
He/She will be able to use the main functions of worprocessing, like for example create and update a document using base formatting functions that also includes images and tables.
He/She will be able to use the main functions of spreadsheets, like for example import and organize data, create charts and plots, create simple functions and use statistical functions.
He/She will be able to use the main functions of softwares thatt can be used to prepare a presentation with simple formatting and graphical effects.
Teaching methods Face to face lessons in class and practical lessons in laoratory
Extended program Programma:
Base concepts of computers and softwares: Hardware architecture. CPU, RAM, kind of memories, Input/Output devices. Software: software di base e software applicativo.

Operative system: general concepts and main operations of Windows SO, task, virtual memory, concepts of algorithm and program.

Word Processor: general concepts and characteristics; properties of characters, paragraph, sections (styles, alignments, heading and footnote, notes, summary, images, tables, symbols etc.).

Spreadsheet: cells (strings, constants, formulas), absolute/relative references, refernces to a rectangular area, functions, standard formats (char type, height, etc.) and special formats (numnbers, currency, dates). Graphics and plots: type of cahrts (histogram, bars, pies, etc.); data series: single and multiple; labels, titles, formatting.

How to create a presentation.

Elements of net communications: computers net, net classification, communication modes, devises

Internet: functioning principles and services: TCP/IP, IP address and DNS, Email, FTP. The World Wide Web: Client and server Web, browsers and their main functions, URL, Information search: search engines and boolean functions like "and", "or", "not".

PHYSICS APPLIED TO BIOLOGY AND MEDICINE

Code GP005411
CFU 3
Teacher Helios Vocca
Teachers
  • Helios Vocca
Hours
  • 30 ore - Helios Vocca
Learning activities Base
Area Discipline applicate agli studi medico-veterinari
Academic discipline FIS/07
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents Kinematics and dynamics of the point. The concept of energy and entropy. Statics and dynamics of fluids. Waves and sound.
Elements of thermodynamics. Electricity and magnetism. Electromagnetic radiation.
Reference texts - E. Ragozzino, Elementi di Fisica, ed. EdiSES, Napoli

- D. Scannicchio, Fisica Biomedica, ed. EdiSES, Napoli

- The teacher will provide the digital files of the presentations regarding the lectures arguments.
Educational objectives Provide students with the basics of the main topics of classical physics with particular reference to the implications for the organic sector. Students should acquire the capacity to logical reasoning and analytical analysis of what they will face in the following courses, in veterinary career, and in everyday life. They will be able to ask the right questions in order to address unforeseen situations and to avoid incurring in both logical and practical gross mistakes.
Teaching methods Lectures will be made by using slides and movies. The practical lessons will be dedicated to revision and depth of issues also proposed by the students and that could involve students themselves.
Extended program Lectures arguments:

Presentation of the course.

Physical quantities and the International System of Units.

The motions, speed and acceleration.

The forces and principles of dynamics.

Work and energy.

Liquids, gases and their applications in biology.

Temperature, heat and internal energy.

Electrical phenomena and applications.

Optics, lenses and microscope.

The sound and the waves.

Ionizing radiation.

The practical lessons are designed to help students in solving problems and exercises and in the observation of simple experiments.

STATISTICS FOR VETERINARY MEDICINE

Code GP005412
CFU 3
Teacher Helios Vocca
Teachers
  • Francesca Pierri (Codocenza)
Hours
  • 30 ore (Codocenza) - Francesca Pierri
Learning activities Caratterizzante
Area Discipline delle metodologie informatiche e statistiche
Academic discipline SECS-S/02
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents Detection of a statistical phenomenon. Distribution of a character and its representation. Summary of a character distribution. Analysis of the combination of two characters. Test theory notes Simple linear regression.
Reference texts Suggested
Borra, S. e Di Ciaccio, A. "Statistica per le scienze economiche e sociali" III edizione McGraw-Hill Education
Triola, M.M e Triola, M.F. "Fondamenti di Statistica per le discipline biomediche". Pearson
Educational objectives The course allows you to acquire the basics of statistics useful both to set up a search and to interpret the results. Application cutting allows the student to become familiar with data analysis
Prerequisites Nessuno
Teaching methods Teaching includes hours of theory and exercises. It is advisable to to perform the assigned exercises.
Extended program Definition of statistics. Population and sample. Phases of a statistical survey, sampling and sampling methods. Questionnaire and experimental protocol. Qualitative and quantitative variables. Descriptive statistics: Simple and cumulative, absolute and relative frequency distributions. Double distributions, conditional frequencies. Tabular representations. analytical averages (arithmetic mean) and average position (mode, median, quartiles and percentiles). Measures of variability and variability indices (simple, average absolute deviation, and quadratic; average differences; field or range of variation, variance and deviance) ..
Analysis of the combination of two characters (dependency and independence). Outline the theory of Test: null hypothesis, alternative hypothesis, acceptance and rejection area, level of significance. Simple linear regression: parameter estimation, interpretation of results, residue analysis
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