- Details
- Category: Discipline
- Computer Engineering and Applications
- 6615
- 24340
- Object-Oriented Programming
- IPLUSO6615-24340
- 2
- 6
- 0
- 4
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Arte Multimédia (L) (IPLUSO)
- 7147
- 27388
- Princípios e Práticas da Interactividade
- IPLUSO7147-27388
- 2
- 5
- 0
- 4
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Goodman, L. S. (2011). Goodman & Gilman¿s. The Pharmacological Basis of Therapeutics. (12th ed.). McGraw Hill. Guimarães, S., Moura, D. & Soares da Silva, P. (2014). Terapêutica Medicamentosa e suas bases Farmacológicas. (6ª ed.). Porto Editora. Infarmed (2013). Prontuário Terapêutico 11. Lu FC, Kacem S. Lu¿s (2012). Basic Toxicology: Fundamentals, Target Organs, and Risk Assessment. (6th ed.). CRC Press.
- Pharmacy
- 4003
- 19578
- Pharmacology and Toxicology
- IPLUSO4003-19578
- 2
- 7
- 0
- 4
- Não
- Português
- In this curricular unit, the Team-based learning (TBL) methodology is used, with tasks carried out in small groups, allowing the development of the ability to analyze and apply theoretical concepts.
- Mandatory
- The objective of the curricular unit is to provide general knowledge related with drugs that constitutes the basis for the rational use of medicines and allows the consolidation of the practical relevance of the unit for the praxis of a health professional. This curricular unit also aims to introduce the basic concepts of Toxicology, so that these professionals can understand and prevent the risks eventually associated with the treatments that will be applied in their clinical practice. Students should: Demonstrated knowledge on the terminology and basic concepts of Pharmacology Understand the medicines¿ cycle Described the main mechanisms of drug action. Understand the therapeutic uses of the major drug classes, as well as the most representative side effects and interaction Understand the basic principles of Toxicology Understand the potential risks associated with therapeutic interventions
- Basic concepts in Pharmacology Medicines¿ cycle. Drug information resources Administration routes Pharmacokinetics Pharmacodynamics Therapeutic groups Anti-infectious drugs Musculoskeletal system Cardiovascular pharmacology Drugs acting on blood Nervous system Gastrointestinal system Respiratory pharmacology Vitamins and minerals Rational use of medicines. Essential drugs. Precautions in pregnancy, breastfeeding and pediatrics. Notification of ADRs Principles of Toxicology Dose-response and toxicological parameters Risk assessment. Biomarkers Mutagenesis and Mutagenesis DART Organ-directed toxicology: hepatic, cardiovascular, respiratory, neurologic, renal, locomotor Applied toxicology: solvents, toxins, plants, pesticides, metals Classification of hazardous substances. Material safety data sheets. Regulatory aspects
Descrição
Data limite
Ponderação
1º Teste de avaliação teórico
2º Teste de avaliação teórico
25%
25%
1º Teste de avaliação Prático
2º Teste de avaliação Prático
12,5%
12,5%
1ºTeste de avaliação téorico-prática
2ºTeste de avaliação téorico-prática
12,5%
12,5%
A componente escrita consta de duas frequências escritas e é relativa aos conteúdos teóricos. A classificação mínima em cada frequência é de 8 valores (média igual ou superior a 9,5 valores). A componente teórico-prática e laboratorial consta de 2 momentos de avaliação realizados durante as respectivas aulas, devendo a média ser igual ou superior a 9,5 valores. A classificação final é calculada a partir da seguinte fórmula: CF = 0,50 T + 0,25 TP + 0,25 LB. A classificação de todos os instrumentos de avaliação é expressa numa escala de 0 a 20 valores, sendo que o valor ponderado das classificações obtidas tem de ser igual ou superior a 9,5 valores.
- Semestral
- The scope of this CU is to allow the basic principles of Pharmacology and Toxicology to be understood, understanding as the basis of Pharmacology the concept of pharmacon ("drug"), associated with the study of chemicals that interact with biological systems. The UC begins with Drug History through knowledge based on current scientific evidence on drug composition, properties, interactions, toxicology, and desirable effects that can be used in diagnosing, preventing, and treating disease. The CU encompasses knowledge of the history, origin, physical and chemical properties, associations, biochemical and physiological effects, absorption, biotransformation and excretion mechanisms of each drug in each pharmacotherapeutic class according to the ICD-10 International Classification.
- Details
- Category: Discipline
- Automation and Computer Systems
- 6865
- 2129
- Artificial Intelligence
- IPLUSO6865-2129
- 3
- 5
- 0
- 4
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Murteira, B, Ribeiro, C.S., Silva,J.A. e Pimenta,C. (2015) Introdução à Estatística. Escolar editora. Pestana,d. e Velosa,H. (2006) Introdução à Probabilidade e Estatística. Fundação Calouste Gulbenkian. Reis, E., Melo, P. , Andrade,R. e Calapez,T. (2007) Estatística Aplicada, vol.1 e 2. Edições Sílabo. Ross,S. (2009) Introduction to Probability and Statistics for Engineers and Scientists, 4th edition. Elsevier Academic Press.
- Computer Engineering and Applications
- 6615
- 620
- Probabilities and Statistics
- IPLUSO6615-620
- 2
- 6
- 0
- 4
- Não
- Português
- Application of acquired knowledge to the study of real problemas and use of statistical software.
- Mandatory
- Be able to calculate and interpret the most important desciptive statistical measures and identify their properties; to calculate probabilities using different concepts; to calculate conditional probability and apply the principles of multiplication, total probability and Bayes' theorem. Be able to use the concept of random variable and to operate with probability functions and distributions. Know the most important discrete and continuos distributions and some of their properties. Calculate confidence intervals and apply hypothesis tests and interpret the obtained results. Know the Linear Regression Model and evaluate the adjustment of the model to data.
- Descriptive statistics: Basic concepts. Measures of location, measures of dispersion. Graphic presentation. Random experiment. Events. Sample space. Algebra of events. Probability concepts. Axiomatic of Kolmogorov. Conditional probability. Independence. Bayes theorem Discrete and Continuous random variables. Probability and distribuition functions. Mean value, variance and standard deviation Discrete distributions: Uniform, Binomial, Negative Binomial and Poisson distributions Continuous distributions: Uniform, Normal, Exponential, Chi-square and t-Student distributions Statistical inference. Sample distributions. Central limit theorem Estimation by points or by intervals. Confidence interval for mean (know and unknow variance, large and small sample). Confidence interval for variance and standard deviation. Confidence interval for proportion Hypothesis Testing The Linear Regression Model
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
1ºteste
40%
2ºteste
40%
1 Trabalho
20%
Todos os momentos de avaliação são obrigatórios
- Semestral
- Provides a wide range of basic knowledge, skills and tools essential for data analysis.
