- Details
- Category: Discipline
- Law
- 530
- 22806
- Rural and urban lease
- ISMAT530-22806
- 3
- 5
- 833
- 12
- Não
- Português
- Optional
- Semestral
- Details
- Category: Discipline
- Tourism Management
- 6029
- 20544
- Financial Analysis and Management
- ISMAT6029-20544
- 2
- 6
- 0
- 12
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Human Resources Management and Organisational Intervention
- 6349
- 3157
- Dissertation
- ISMAT6349-3157
- 2
- 30
- 927
- 12
- Não
- Português
- Optional
- Semestral
- Details
- Category: Discipline
- Torres, M. C., Gama, Paulo M.,. Exercícios de Análise Financeira. 3ª Edição. Almedina: Coimbra. 2018. Páginas 184. ISBN: 9789724076867. Silva, J. Pereira. Análise Financeira das empresas. 13ª Edição. Atlas: Lisboa. 2016. Páginas: Páginas: 616. ISBN: 9788522483747. Fernandes, C., Vieira, E., Neiva, J., Peguinho, C. Análise Financeira - Teoria e Prática. (5ª Edição). 2019. Sílabo: Lisboa. 170 x 238 x 15 mm. Páginas: 304. ISBN: 9789895610020.
- Business Management
- 490
- 324
- Finantial Management
- ISMAT490-324
- 2
- 5
- 0
- 12
- Não
- Português
- PBL - Problm Based Laearning.PBL - Problm Based Laearning.
- Mandatory
- At the end of this course, students must: To frame the concept of Financial Management in theoretical terms. Prepare the economic and financial diagnosis. Define the basic instruments of Financial Management. Financial statements. Calculate and assess the company's risk. Formulate an adequate management of the company's cash flow/availabilities. Evaluate the various financing options and formulate and implement the financing strategies that suit the company's objectives. Choose the capital structure and profit distribution policy that allow for growth and shareholder value. Analyze profitability and sustainability. Prepare the medium and long-term financial plan, implementando e controlling the process.
- Introduction The economic and financial diagnosis The basic instruments of financial management Calculate and assess the company's risk Treasury Management Financing options Capital structure and distribution Analysis of profitability and sustainability in financial terms The medium and long-term financial plan. Implement financial management control
Descrição
Data limite
Ponderação
Teste de avaliação
19-05-2026
60%
Trabalho de grupo
26-05-2026
35%
Participação e presença
5%
- Semestral
- In a global context of growing innovation and risk, the financial sustainability of companies requires financial managers with skills never before required. In this sense, financial managers are required to ensure a balanced, responsible and sustained financial vision, in the short (Treasury) and in the medium and long term (Financial Plan), through adequate planning, organization and financial control in the operational, investment and financing areas, obtaining, using and controlling financial resources with the ultimate goal of maximizing results.
- 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.
