Discipline - CIEL Camada de Integração Ensino Lusófona

Details: Category: Discipline

Não
The subject of Quantitative Methods is part of the field of action of mathematics and statistics. The aim of this discipline is to provide participants with methods and tools that help them in daily operations related to mathematical reasoning and tasks that require quantitative skills, research, analysis and data presentation.
Semestral

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*
Teste de avaliação 1	A acordar com os alunos	50%
Teste de avaliação 2	A acordar com os alunos	50%

Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...

Concept Review Introduction / The data Data presentation: tables and graphs Frequency distribution Location Measures Dispersion and Concentration Measures Asymmetry and Kurtosis Measures Index numbers Association between two variables / Linear Regression and Simple Correlation Time series Application of statistical methods to the management of I.S. Study of statistics in digital support Statistical tests
Deepen the ability to perform intellectual activities that involve mathematical reasoning; Learn to use mathematics and statistics in understanding situations in reality; Develop a critical sense regarding mathematical and statistical procedures and results;
Mandatory
Case study method Field investigation work Practical exercises in class Use of questionnaire and data analysis technologies such as SPSS, Typeform, Google Forms and Microsoft Excel
Português
Reis, Elizabeth. (2008). Estatística Descritiva, 7a Ed., Lisboa: Edições Sílado; Barroso, M., Sampaio, E. e Ramos, M. (2010). Exercícios de Estatística Descritiva para as Ciências Sociais. Lisboa: Edições Sílabo
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0
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1
IPLUSO6030-4944
Quantitative Methods
4944
6030
Information Systems Management

Details: Category: Discipline

Não
The fundamental goal of the Data Mining discipline is to give the student skills in transforming data into information to support decisions, in the context of large databases. Data Mining tools aim to identify future behaviors and trends, supporting the proactive and knowledge-based decision process. They can also answer business questions whose solution has traditionally been very complex from a computational point of view. Thus, this course deals with the themes and issues normally associated with the designations of Data Mining or Knowledge Discovery. In this course, the main methodological aspects of Data Mining will be presented, as well as the most important tools used. The practical component is one of the fundamental aspects of the discipline, so the ability to translate knowledge into practical actions and analysis decisions is particularly valued.
Semestral

Descrição dos instrumentos de avaliação (individuais e de grupo), trabalhos práticos, testes teóricos, projetos e respetivas ponderações na nota final.

Descrição	Ponderação
Projeto prático 1 (Individual)	25%
Projeto prático 2 (individual)	25%
Projeto Final (de grupo)	20%
Teste teórico final (individual)	20%
Assiduidade	10%

1. Introduction to Data Mining (6h) - Fundamental concepts: what is Data Mining - Differences between Data Mining, Big Data, Business Intelligence and Machine Learning - The Knowledge Discovery in Databases (KDD) process - Real-world use cases in various areas (healthcare, retail, finance, etc.) 2. Data Preparation and Exploration (6h) - Data types and data quality - Cleaning, transformation and normalization - Exploratory analysis: basic statistics, histograms, boxplots - Sampling techniques 3. Data Exploration Techniques – Part I (9 pm) 3.1 Classification and Regression (9h) 3.2 Clustering (6h) 3.3 Membership Rules (6h) 4. Model Validation and Evaluation (6h) - Training/test split, cross-validation- Overfitting and underfitting- Confusion Matrix, ROC/AUC curves 5. Tools and Workflows in Data Mining (6h) - Presentation of graphical tools: KNIME, RapidMiner, Orange - Creation of visual Data Mining pipelines- Integration with external data sources
This curricular unit aims to address the process of knowledge discovery in databases and the most common methodologies in Data Mining; It is intended that students understand the possible tasks of Data Mining, namely classification, forecasting, trend analysis (time series), grouping, sumarization (and visualization) or association; It is also intended to approach a set of techniques generally used in the implementation of Data Mining, such as decision trees, association rules, linear regression, artificial neuronal networks, genetic algorithms or Bayes networks; Another important goal is the use of an online platform for the application of the theoretical concepts.
Mandatory
Use of digital analytics apps and plataforms in support to the learn process, such as: - Microsoft Power BI - SAS Viya for Learners - Linguagem Python - Knime, RapidMiner, Orange
Português
Han, J., Kamber, M., Pei, J. (2012). Data Mining - Concepts and Techniques, Elsevier Gama, J., at al (2017). Extração de conhecimento de Dados – Data Mining. Edições Sílabo
4
0
5
2
IPLUSO6030-15430
Data Mining
15430
6030
Information Systems Management

Details: Category: Discipline

Não
The Human Resource Management course syllabus covers the basic theoretical and practical foundations of Human Resource Management in organisations. Its relevance to the study cycle is due to the growing importance of Human Resources in creating competitive advantages for organisations.
Semestral

Exemplo:

*Descrição*	*Data limite*	*Ponderação*
Teste de avaliação	A agendar	50%
Trabalho de grupo (Escrito e Apresentação)	A agendar	30%
Participação e atividades nas aulas		20%

Para os alunos com o estatuto de trabalhador-estudante ou outro estatuto semelhante, o docente pode solicitar um trabalho extra para complementar a avaliação de conhecimentos da UC.

PC1. Basic concepts and perspectives on HRM; PC2. Organisational climate and the importance of communication; PC3. Diversity, discrimination, and harassment; PC4. Recruitment and selection in organisations; PC5. Employee welcome, integration, and socialisation; PC6. Reward and compensation systems; PC7. Training; PC8. Performance evaluation; PC9. Time management and work organisation.
LO1 - Describe the historical origins of the HR function and frame it within the organisational context. Define HRM and highlight its main objectives/challenges. LO2 - Describe the various activities/functions/responsibilities that may be related to the HR function. LO3 - Reflect on the issues of diversity, discrimination, and harassment in organisations. LO4 - Present the main Human Resources processes and techniques.
Mandatory
Students will work in groups to collect data from companies in one of the human resources areas. The goal is to help students understand how human resources concepts are applied in practice and to gain exposure to business life (small businesses).
Português
Câmara, P. B.; Guerra, P. B. & Rodrigues, J. V. (2016). Humanator XXI Recursos Humanos e Sucesso Empresarial , Edições D. Quixote, 7ª Edição; Rego, A.; Cunha, M. P.; Gomes, J. F. S.; Cunha, R. C.; Cabral-Cardoso, C. & Marques, C. A. (2015). Manual de Gestão de Pessoas e do Capital Humano , Edições Sílabo, 3ª Edição; Sousa, M. J.; Duarte, P.; Sanches, P. G. & Gomes, J. (2006). Gestão de Recursos Humanos, métodos e práticas , Lídel Editora, 4ª Edição.
4
0
5
2
IPLUSO6030-523
Human Resources Management
523
6030
Information Systems Management

Details: Category: Discipline

Não
This UC aims to provide the necessary skills for understanding concepts and modeling investment projects in business, with regard to techniques for their construction, evaluation criteria, risk analysis and conclusions.
Semestral

Exemplo:

*Descrição*	*Data limite*	*Ponderação*
Teste de avaliação	05-12-2024	45%
Portfolio	9-01-2024 Data limite	45%
Participação, atitudes e assiduidade(...)		10%

1. Introduction to Investment analysis: Concepts of; Investment, Project, Profitability, Cash Flow, Present Value Calculations: Interest rate and Discount cash flow 2. The Business Plan and its importance for the analysis and evaluation of the investment. 3. Investment analysis and evaluation 4. Sensitivity analysis 5. Conclusion and project evaluation report
This CU aims to develop the student knowledge, skills and competences that are listed: 1. Know how to explain concepts of investment analysis; 2. Know how to make a business plan; 3. Describe a business model; 4. Describe sources of financing; 5. Know how to analyses the economic and financial situation of a company; 6. Know how to evaluate investment projects.
Mandatory
Expositional Methodology and Self-study Methodology: Knowledge acquisition will be measured through a test. Participative Methodology and Active Methodology: Skill development will be assessed through team work, and consists of a presentation and discussion of a case study
Português
Duarte, C. e Esperança, J.P. (2014). Empreendedorismo e Planeamento Financeiro. 2ª edição. Edições Sílabo. Menezes, H.C. (1999). Princípios de Gestão Financeira. 7ª edição, Lisboa, Editorial Presença, Mota, A. G. & Custódio, C. (2012). Finanças da Empresa. 7.ª Edição, Bnomics Soares, J.O., Fernandes, A.V., Março, A.A. e Marques, J.P.P. (1999). Avaliação de Projectos de Investimento na Óptica Empresarial. Edições sílabo. Soares, I., Moreira, J., Pinho, C. e Couto, J. (2020). Decisões de Investimento – Análise Financeira de Projectos. 4ª edição. Rdições Sílabo.
4
0
5
2
IPLUSO6030-18085
Project and Investment Analysis
18085
6030
Information Systems Management

Details: Category: Discipline

Não
Main theme is the project management based on the PMBOK® 7 th ed.(PMI)(processes and support knowledge areas); Scope: Information Systems, involving IT project management Focus: People (soft skills), Processes and areas of knowledge.
Semestral

Exemplo:

*Descrição*	*Data limite*	*Ponderação*
Teste de avaliação	07-01-2026	45%
Trabalho de grupo	14-01-2026	40%
Apresentação e analise de um artigo academico no âmbito da Gestão de Projectos	10-12-2025	15%

CP1: Project management: concepts, organization and management, success factors, standardization and life cycle; CP2: Project manager; individual competences for the GP; CP3: Main paradigms in GP; Agile Methods vs Traditional Methods (waterfall); CP4: Main bodies and certifications in GP and existing references. Presentation of the PMBOK (PMI) framework: processes and knowledge areas of the PM; CP5: People Domain; Leadership Styles, Leadership Practices, Communication, Motivation and Team Development, Conflict Management, Emotional Intelligence; CP6: Domain of Processes within the project life cycle; initiation, planning, execution, monitoring and control, and closure. Preparation of management plans: scope, schedule, costs, quality, resources, communications, acquisitions, risks and stakeholders; CP7: Agile project management (Scrum Method): Definition, values, Scrum cycle, Scrum roles, iterations, product backlogs, sprints, cost control.
OA1: Define and relate some of the main concepts of project management (PM), including the stakeholders involved, and what are the main competencies of a project manager; OA2: Acquire skills in the area of ¿¿soft skills according to the international standardization reference of PMBOK(PMI); OA3: Identify existing project types, as well as their main phases, within the scope of their life cycle; OA4: Describe the main processes and areas of PM knowledge according to the PMBOK (PMI) international standardization framework, as well as the main PM typologies; OA5: Identify and define requirements, as well as the main documents that accompany a project; OA6: Define and sequence the activities of a process through CPM / PERT techniques and analyze the critical path; OA7: Use a project management tool (e.g., Microsoft Project, Project Libre);
Mandatory
(1) theoretical - practical sessions lasting four hours, in which teaching has a practical orientation, with the resource whenever pertinent to problem solving / Case Studies and in whose discussion the participation of students will be requested ; (2) theoretical exposition, complemented with problem solving and application of theory to practical situations in the context of project management; (3) and teaching fundamentally uses: (i) the expository and demonstrative pedagogical method; (ii) problem solving; (iii) and group discussion. The evaluation is carried out through a theoretical test (45% of the final grade), a group work, related to a project plan, in turn, based on a case study previously provided by the teacher (40% of the final grade) and an analysis of an academic article (chosen by the student but with the prior approval of the teacher), related to project management (15% of the final grade).
Português
PMBOK (2021). A Guide to the Project Management - Body of Knowledge, 7 th ed., Project Management Institute (PMI). Miguel, António (2019). Gestão Moderna de Projetos - Melhores Técnicas e Práticas, FCA. Slides/Folhas de apoio disponibilizadas pelo docente no âmbito da gestão e avaliação de projetos. Pinto e Tscharf (2019). SCRUM A Gestão Ágil de Projetos, FCA. ICB4 (2015). Referencial de Competências Individuais para Gestão de Projetos, Programas e Portefólios, v. 4.0 Português (APOGEP), Internacional Project Management Association (IPMA).
4
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2
IPLUSO6030-7428
Project Management
7428
6030
Information Systems Management

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Quantitative Methods

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