PREPARATORY SCIENCES
Academic year and teacher
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- Versione italiana
- Academic year
- 2022/2023
- Teacher
- MARIO BRAGA
- Credits
- 4
- Didactic period
- Secondo Semestre
Training objectives
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Modulo: 015267/3 - MISURE ELETTRICHE ED ELETTRONICHE
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ELECTRICAL AND ELECTRONIC MEASUREMENT
Gain basic knowledge to use laboratory equipment in order to analyze the measured data.
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Modulo: 53518 - STATISTICA PER LA RICERCA
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STATISTICS FOR RESEARCH
The module aims to: (1) provide theoretical and practical knowledge to understand and describe all types of epidemiological studies; (2) provide useful tools to allow the student to understand and explain the essential measures used in epidemiology. Prerequisites
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Modulo: 015267/3 - MISURE ELETTRICHE ED ELETTRONICHE
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ELECTRICAL AND ELECTROINIC MEASUREMENT
Adequate background of basic physics, mathematics and informatics
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Modulo: 53518 - STATISTICA PER LA RICERCA
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STATISTICS FOR RESEARCH
Basic knowledge of arithmetic and English (examples taken from scientific literature will be provided during the lectures). Course programme
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Modulo: 015267/3 - MISURE ELETTRICHE ED ELETTRONICHE
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ELECTRICAL AND ELECTRONIC MEASUREMENT
Theory of errors, systematic errors, error propagation in an indirect measure of a physical quantity .Electric charge and electric field: Electric field and electric potential, work of electric field; equipotential surfaces, electrical capacity.Electric current: Electric current and resistance, Ohm's law, electric power, Kirchhoff's laws. Alternating currents, RC circuits.
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Modulo: 53518 - STATISTICA PER LA RICERCA
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STATISTICS FOR RESEARCH
Methods and aims of epidemiology.
Characteristics of observational studies (ecological, cross-sectional, case-control, cohort) and experimental (randomized clinical trials).
Reviews, systematic reviews and meta-analyses. Bias and confounding.
Importance of the epidemiological method for research and health organization.
Descriptive epidemiological measures: rates and indicators.
Risk measures and cause-effect relationships, relative risk and absolute risk.
Statistical method, types of health outcomes and their distribution.
Importance of statistical inference and sample size: point estimate, confidence intervals, p-value.
Interpretation of the results of a clinical study Didactic methods
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Modulo: 015267/3 - MISURE ELETTRICHE ED ELETTRONICHE
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Lectures
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Modulo: 53518 - STATISTICA PER LA RICERCA
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Lectures Learning assessment procedures
- ELECTRICAL AND ELECTRONIC MEASUREMENT
Written exam with 16 multiple choice questions, each with five possible answers. 10 theoretical questions with one or more correct answers, 6 questions are exercises where only one answer is correct. Rating: 15 points for the theoretical answers and 15 points for the exercises. No penalty for wrong answer. Duration: 1 hour and a half.
STATISTICS FOR RESEARCH
Written exam with 15 multiple choice questions. For each question, 1 to 4 correct answers are possible. For each wrong or not indicated answer, half the score of the question will be deducted. In case of two or more wrong or missing answers in a question, the whole question score will be deducted. Some questions are considered fundamental, and will be indicated with an asterisk. In case of two or more wrong answers in these questions, the exam will not be passed.
The final grade will result from the arithmetic mean of the scores obtained in each module. Reference texts
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Modulo: 015267/3 - MISURE ELETTRICHE ED ELETTRONICHE
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ELECTRICAL AND ELECTRONIC MEASUREMENT
E. Casnati, Elementi di Fisica Generale per Scienze Mediche, CEA Milano
J.R. Taylor, Introduzione all’analisi degli errori, Zanichelli Ed.
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Modulo: 53518 - STATISTICA PER LA RICERCA
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STATISTICS FOR RESEARCH
Manzoli L, Villari P, Boccia A. Epidemiologia e management in sanità. Edi-Ermes, 2015.
Teacher’s handouts.
