- Details
- Category: Discipline
- Tourism Management
- 6029
- 523
- Human Resources Management
- ISMAT6029-523
- 2
- 5
- 0
- 12
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Programa de estágio do Mestrado Integrado em Ciências Farmacêuticas. Farmácia Comunitária e Farmácia Hospitalar. ECTS. 2015-2016.
- Human Resources Management and Organisational Intervention
- 6349
- 814
- Traineeship
- ISMAT6349-814
- 2
- 30
- 927
- 12
- Não
- Português
- Não aplicável
- Optional
- Its main purpose is to provide students an integrated view of the pharmaceutical professional practice in a real work environment. It´s held in community pharmacy and / or pharmacy services of a public or private hospital under the professional guidance of a pharmacist. It is expected that the student will be prepared, giving him the tools and the experience needed for the job market. Its main purpose is to provide students an integrated view of the pharmaceutical professional practice in a real work environment. It´s held in community pharmacy and / or pharmacy services of a public or private hospital under the professional guidance of a pharmacist. It is expected that the student will be prepared, giving him the tools and the experience needed for the job market. Students must present a dissertation with investigation work.
- The content of this curricular unit is recorded on Internship respective manuals, which defines the guidelines applicable to each professional context.
Descrição
Data limite
Ponderação
Estágio em Farmácia Comunitário e Hospitalar
Não aplicável
50%
Dissertação
Não Aplicável
30%
Prestação na prova de defesa
Não aplicável
20%
A utilização de ferramentas de inteligência artificial (IA) na realização da dissertação tem de ser revelada pelos alunos, identificando o propósito para a sua utilização. Na avaliação deste elemento de avaliação, os resultados serão aferidos através da apresentação e discussão oral. O uso responsável e ético da IA por parte dos alunos, com vista à integridade académica, será discutido com o orientador.
- Semestral
- The internship of vocational training is part of the MSc in Pharmaceutical Sciences, School of Health Sciences and Technology (ECTS), Lusófona University, happening in the 5th year of training curriculum, according to the Directive Community 2005/36 / EC.
- Details
- Category: Discipline
- Business Management
- 490
- 324
- Finantial Management
- ISMAT490-324
- 2
- 5
- 0
- 12
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Maindonald, J. & Braun, W. J. (2010). Data analysis and graphics using R: an example-based approach. (3rd ed.). United Kingdom: Cambridge University Press. Murteira, B. & Antunes, M. (2012). Probabilidades e Estatística. (Vol. 1). Lisboa: Escolar Editora.
- Data Science
- 6321
- 620
- Probabilities and Statistics
- ISMAT6321-620
- 1
- 8
- 0
- 12
- Não
- Português
- The teaching methodology includes the expository method (TM1) to present the contents, the demonstrative method (TM2) to illustrate its application to practical cases and the active method (TM3) to solve classroom exercises, with and without the use of a computer. Whenever appropriate, statistical software is used to explore concepts, interpret results and support the solution of real-world data analysis problems.
- Mandatory
- At the end of this course unit, students should be able to: LO1: Distinguish concepts and solve problems involving probabilities; LO2: Characterize random variables and use them to solve problems; LO3: Build confidence intervals; LO4: Perform parametric hypothesis tests and verify their assumptions; LO5: Perform non-parametric hypothesis tests; LO6: Adjust, interpret and use simple linear regression models for predictive purposes; LO7: Use R software for statistical data analysis.
- S1: Probabilities Random experiences, space for results and events Definitions of probability and Kolmogorov axiomatic Bayes' theorem S2: Random Variables and Discrete Distributions Discrete random variables and their characteristics Discrete Uniform, Binomial, Poisson, Geometric and Hypergeometric Distributions S3: Random Variables and Continuous Distributions Continuous random variables and their characteristics Continuous Uniform, Normal and Exponential Distributions S4: Joint probability distributions and complements Joint, marginal and conditional distributions Covariance and correlation Central Limit Theorem S5: Estimation Introduction to Inferential Statistics Point and interval estimation S6: Hypothesis testing Parametric hypothesis tests Nonparametric hypothesis tests Normality and homoscedasticity S7: Simple Linear Regression models S8: Data Analysis using Software R
A avaliação de conhecimentos é feita por avaliação contínua ou por prova escrita de exame final. A avaliação contínua inclui a realização de dois testes escritos com uma ponderação de 35% cada, um trabalho de grupo (20%) e a participação ativa nas aulas (10%).
- Semestral
- The curricular unit Probability and Statistics belongs to the scientific area of Statistics and provides the probabilistic and inferential foundations required for data analysis. It develops skills to model random phenomena, perform statistical inference and support data-driven decision making, constituting a fundamental curricular unit in Data Science.
- Details
- Category: Discipline
- Law
- 530
- 22355
- Foundations of Public Law
- ISMAT530-22355
- 1
- 7
- 0
- 12
- Não
- Português
- Semestral
