Unit PHYSICS, STATISTICS AND INFORMATICS APPLIED TO VETERINARY MEDICINE
- Course
- Veterinary medicine
- Study-unit Code
- GP005370
- Curriculum
- In all curricula
- Teacher
- Francesca Pierri
- CFU
- 8
- Course Regulation
- Coorte 2021
- Offered
- 2021/22
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa integrata
ELEMENTS OF INFORMATICS FOR VETERINARY MEDICINE
Code | GP005413 |
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CFU | 2 |
Teacher | Sergio Tasso |
Teachers |
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Hours |
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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. Operative system. Word Processor. Spreadsheet. How to create a presentation. Internet: functioning principles and services. The World Wide Web: Client and server Web, browsers and their main functions, URL, Information search: search engines. |
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. |
Prerequisites | None |
Teaching methods | Face to face lessons in class and practical lessons in laoratory |
Other information | Website: www.unistudium.unipg.it |
Learning verification modality | Multiple choice written exam |
Extended program | Base concepts of computers and softwares: Hardware architecture. CPU, RAM, kind of memories, Input/Output devices. Software. 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". |
Obiettivi Agenda 2030 per lo sviluppo sostenibile |
PHYSICS APPLIED TO BIOLOGY AND MEDICINE
Code | GP005411 |
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CFU | 3 |
Teacher | Maurizio Mattarelli |
Teachers |
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Hours |
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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 mass points. Energy and work. Fluid mechanics. Waves and sound. Thermodynamics. Electrical phenomena. Electromagnetic radiation. |
Reference texts | D. Scannicchio, Fisica Biomedica, ed. EdiSES, Napoli. |
Educational objectives | This course aims to provide the student with the tools necessary for an adequate understanding of the phenomena of applied physics in the biomedical field, as well as to develop a methodological approach useful in the study of the other disciplines of the degree course and more generally for professional practice. More in detail, and referring to the Dublin Descriptors for the didactic objectives (D1 Knowledge and understanding, D2 Applying knowledge and understanding, D3 Making judgements, D4 Communication Lifelong, D5 learning skills), the student will acquire the basic notions of classical physics (D1) in order to be able to correctly interpret the theoretical principles on which some analysis equipment, diagnostic tools and biological phenomena are based (D2). During the course the analysis and problem solving skills will be developed both by proposing numerical exercises that allow the student to apply the theoretical notions acquired and through the collaborative discussion of some physiological phenomena from a physical point of view (D3 e D4). The skills acquired (both as knowledge and as a methodological approach) will be fundamental in the independent study of related disciplines and more generally in lifelong professional updating (D5). |
Prerequisites | None |
Teaching methods | Frontal lectures in the classroom with the aid of slides and short movies to convey basic information of classical physics with reference to the implications in the biological sector. The practical lessons will allow to apply the knowledge to the resolution of problems related to biology and to deepen, also on the proposal of the students, some issues of veterinary interest. |
Extended program | Physical quantities and the International System of Units. Scalar and vector quantities: sum and difference of vectors, product of a scalar by a vector; scalar product and vector product. Kinematics of a mass point. Displacement and equation of motion. Speed and acceleration. Equation of uniform rectilinear motion, uniformly accelerated motion and uniform circular motion. Dynamics of a mass point. The laws of dynamics. Mass and weight. The inclined plane. Static and dynamic friction. Elastic force. Harmonic motion. Energy and work. Potential and kinetic energy. Mechanical energy theorem. Power. Fluid mechanics: continuity equation; Bernoulli's theorem; Stevino's principle; Pascal's law; pressure unit of measure; viscous fluids; the circulatory system and blood pressure. Temperature, heat and internal energy. Physical change of state. Specific heat. Heat propagation. Thermal expansion. Thermometers. First and second law of thermodynamics. Metabolism and thermoregulation. Electrical phenomena and applications: electric charge and Coulomb's law; electric field; electric potential; electric current and Ohm's laws; electrolytic solutions. Sound and mechanical waves. Wave propagation. Ultrasound. Doppler effect. Electromagnetic waves. Geometric Optics: refraction and reflection; refractive index; critical angle; lenses; microscope; eye. the mechanism of vision and the perception of colors. Electromagnetic spectrum. Ionizing radiation. Biological effects of ionizing radiation. Basics of radiation protection. Medical applications. |
STATISTICS FOR VETERINARY MEDICINE
Code | GP005412 |
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CFU | 3 |
Teacher | Francesca Pierri |
Teachers |
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Hours |
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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 | Providing students with the basics of statistics D1 KNOWLEDGE AND UNDERSTANDING The student must have: 1) Knowledge of methods applicable in a statistical survey 2) Knowledge of the different types of variables (qualitative and quantitative). 3) Knowledge of the basics of descriptive statistics: frequency distributions, tabular and graphical representation, means, variability measurements and variability indices 4) Knowledge of the basic techniques for studying the association between two characters for identifying their dependence or independence 5) Knowledge of linear regression models applicability 6) Knowledge of test theory: null hypothesis, alternative hypothesis, acceptance and rejection area, level of significance. D2 APPLICATION OF KNOWLEDGE AND UNDERSTANDING At the end of the training the student will be able to: 1) Set up a search autonomously 2) Interpret research results D3 EXPRESSION OF JUDGEMENT At the end of the training the student will be able to: 1) analyse and comment on research findings 2) critically read and interpret the statistical aspects of a scientific publication D4 ABILITY TO COMMUNICATE At the end of the formative activity the student will be able to expose with appropriate language the methodologies of analysis applied and the results achieved within a statistical survey D5 ABILITY TO LEARN At the end of the formative activity the student will have 1) acquired familiarity with data analysis, data description and representation 2) developed critical and interpretive ability |
Prerequisites | |
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 |