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Investment Projects

Details
Category: Discipline
  • 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, Brealey, Richard, A. Stewart C. Myers e Franklin Allen (2017), Principles of Corporate Finance 12 th Edition, McGraw-Hill International Edition, New York Mota, António Gomes e Cláudia Custódio (2012), Finanças da Empresa 7.ª Edição, Bnomics Ross, Westerfield, Jaffe e Jordan (2016), Modern Financial Management 11 Edition, McGraw-Hill th International Edition, New York 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.
  • Accounting and Management
  • 3564
  • 18868
  • Investment Projects
  • IPLUSO3564-18868
  • 2
  • 5
  • 0
  • 4
  • Não
  • Português
  • 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.
  • Mandatory
  • 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.
  • Syllabus: 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
  • 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

    4-12-2025

    45%

    Trabalho de Grupo

    8-01-2026

    Data limite

    45%

    Participação, atitudes e assiduidade

     

    10%

     

    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...

     

  • Semestral
  • 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.

Storage for Big Data

Details
Category: Discipline
  • Santos Maribel & Carlos Costa. BIG DATA concepts, warehousing, and Analytics. River Publishers. 2020. Thomas Erl & Paul Buhler. Big Data Fundamentals, concepts, Drives & Techniques. Service Tech Press. 2016.  
  • Computer Applications for Data Science
  • 6382
  • 23556
  • Storage for Big Data
  • IPLUSO6382-23556
  • 2
  • 5
  • 0
  • 4
  • Não
  • Português
  • Practical Labs in Cloud Environments: Access to cloud platforms for real and scalable experimentation with storage and datasets. Interactive Peer Review: Collaborative analysis and feedback of projects between students themselves, promoting mutual learning. Immersion Journeys: Intensive sessions where real company problems are presented to students for real-time solutions. Project-Based Learning: Development of projects that address the entire data science lifecycle, from acquisition to presentation of insights.
  • Mandatory
  • Knowledge: Students will deepen their understanding of storage technologies for big data, as well as scalability and distribution techniques. Data management strategies and data security and privacy. Skills: They will be empowered to manipulate large datasets, apply transformations, feature engineering, and optimize models for superior performance in real-world environments. Competencies: Students will develop the ability to conduct complete data science projects, from data collection and cleaning to data storage and security, using modern tools and frameworks. They will be prepared to tackle complex challenges in the field of data storage, translating insights into strategic recommendations and data-driven solutions for organizations.
  • Big Data. Concepts and Terminology. Characteristics of Big Data. Different Types of Data. Business Motivations for Big Data Adoption. Big Data Planning. Big Data Analysis Lifecycle. Data Acquisition. Cloud. Privacy. Corporate Technologies. Online Transaction Processing (OLTP). Online Analytical Processing (OLAP). Extract, Transform, Load (ETL). Data Storage. Big Data Storage. Clusters. Hadoop HDFS.  NoSQL. Sharding. Replication. CAP Theorem. ACID. BASE. Big Data Storage Technology. Disk Storage Devices. In-Memory Storage Devices. Integrated Project: Development of a data science project from start to finish, utilizing the acquired concepts and tools.
  •  

    Descrição

    Data limite

    Ponderação

    1º Teste de avaliação

    11-11-2025

    35%

    2º Teste de avaliação

    06-01-2026

    35%

    Projecto

    21-01-2026

    30%

     

    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...

     

  • Semestral
  • The Curricular unit "Storage for Big Data" is a key part of the professional technical course in Computer Applications for Data Science. This course unit aims to teach students about the principles, technologies, and strategies involved in storing large volumes of data generated in Big Data environments. In the field of action, this UC focuses on advanced storage techniques for Big Data, scalable solutions, and cloud storage. The scope of work also includes data strategies and management, such as compression and partitioning. The intervention domain covers up-to-date tools and frameworks that are pillars in the world of data analysis. Given the increasing relevance of data in strategic decisions in various industries, this UC  is essential in the study cycle, preparing students to become specialists capable of extracting valuable insights from raw data and turning them into impactful solutions.

Security in Information Systems

Details
Category: Discipline
  • S., William, B., Lawrie - Computer Security: Principles and Practice. 4ª Edição. Pearson, ISBN-10: 9780134794105, D., Mark, T. Matt - Mastering Windows Security and Hardening - Secure and protect your Windows environment from intruders, malware attacks, and other cyber threats, 2020, Packt Publishing, ISBN-10: 9781839214288, 1839214287  
  • Information Systems Management
  • 6030
  • 21649
  • Security in Information Systems
  • IPLUSO6030-21649
  • 2
  • 5
  • 0
  • 4
  • Não
  • Português
  • Utilization of simulation systems whenever possible
  • Mandatory
  • Understanding the concept of risk in cybersecurity Understanding the principles of information security Knowledge of various types of attacks Understanding the principles of encryption in cybersecurity Understanding and ability to simulate attacks
  • Information Security Principles Vulnerabilities and Attacks Type of attacks Cybersecurity risk Cybersecurity Threats Internal threats external threats Sniffing Attack cycle Type of attacks Creating an Offensive Laboratory Malware Malware Concept Types of Malware Malware Evolution Principles and Analysis Intrusion Detection Systems (IDS) IDS Types Integrity Detection Systems General Intrusion Indications Intrusion Detection Tools Firewalls Features and Functions of a Firewall Firewall Types Putting backdoors through firewalls Cryptography Symmetric encryption Asymmetric encryption Disk encryption Attacks on ciphers
  • Nota minima em cada componente 9,00 V

     

    Descrição

    Data limite

    Ponderação

    1º Teste de avaliação

    28/10/2024

    45%

    2º Teste de avaliação

    13/01/2025

    45%

     

    Avaliação contínua

    Exame de recurso

     

     

    10%

    100%

  • Semestral
  • The curricular unit Security in Information Systems, aims to enrich the student's knowledge in identifying cybersecurity threats to an organization's networks and systems. It involves themes from cyber-risk, intrusion detection systems, attack cycle and creation of an attack laboratory. Throughout the semester, several projects will be carried out to complement the student's knowledge and, if possible, the presence of experts in the area to share their experience, giving an operational view of cybersecurity in organizations in Portugal.

Circuit Analysis

Details
Category: Discipline
  • Medeiros Silva, M. - Introdução aos Circuitos Eléctricos e Electrónicos. 2a Edição. Lisboa : Fundação Calouste Gulbenkian , 2003, ISBN: 9789723106961 Brandão Faria, J.A. - Análise de Circuitos. [3ª Edição. IST PRESS, Julho 2023 ,ISBN:  978-989-8481-50-4 James A. Svoboda, Richard C. Dorf; Introduction to Electric Circuits; John Willey & Sons; 9th ed., 2013. William H. Hayt, Jr., Jack E. Kemmerly, Steven M. Durbin; Engineering Circuit Analysis; McGraw-Hill, 8th ed. 2012.
  • Automation and Computer Systems
  • 6865
  • 13401
  • Circuit Analysis
  • IPLUSO6865-13401
  • 1
  • 5
  • 0
  • 4
  • Não
  • Português
  • In theoretical classes, the expository and interactive method of presenting concepts and demonstrating their development is used. The theoretical exposition is accompanied by resolution practical examples of direct application of the subject, encouraging student participation. The simulation environment for electrical circuits is demonstrated, using LTSpice and MultiSIM or equivalent to solve some typical circuits.  In practical classes, laboratory work is assembled and resolved through simulation using a computational tool.
  • Mandatory
  • General objective: Acquire knowledge and experience in analysis of electrical circuits in direct and alternating current in steady state. Specific objectives: Design and test solutions to meet emerging problem needs that integrate analysis of basic electrical circuits in DC and AC. Integrate projects into broader solutions. Identify and locate means and methods to fulfill specific tasks. Recognize situations, defects and problems and present solutions for their correction or neutralization. Transmit information comprehensively and effectively.
  • Electrical quantities. Notion of electrical charge. Chain. Voltage. power. Electrical resistance and Ohm's law. Association of sources and resistors in series and parallel. Kirchhoff's Laws. Electrical circuit topology and direct current circuit analysis techniques. Voltage and current divider circuit. Font transformation. Thevenin and Norton equivalents. Maximum power transfer. Superposition Theorem. Voltage-current relationship. Notion of coil and capacitor. Series and parallel association of coils and capacitors. Capacity, Inductance. RL, RC and RLC circuits in transient regime, powered by DC sources. Sinusoidal analysis in steady state. Powers in sinusoidal regime. Power Factor Compensation. Balanced and unbalanced three-phase circuits. Two-port networks. Circuit simulation tools.
  • Descrição

    Data limite

    Ponderação

    1º Teste de avaliação

    13 Novembro

    25%

    2º Teste avaliação ou 1º Exame

    22 Janeiro

    25% ou 50%*

    1º Trabalho

    23 Outubro

    12.5%

    2º Trabalho 27 Novembro 12.5%
    3º Trabalho 11 Dezembro 10%
    4º Trabalho 8 Janeiro 15%

    *- Se optar por fazer exame.

  • Semestral
  • The UC of Circuit Analysis has the generic objective of providing basic training transversal to the different specialties of this degree in the area of ¿¿electrical/electronic circuits in a stationary or almost stationary and alternating regime. At the end of the semester, students must have acquired sufficient skills to, when faced with a linear circuit, a network, be able to analyze and understand its operation in the time and frequency domains and have the ability to obtain the voltages and electrical currents necessary to characterize the circuit.

Management and Budget Accounting

Details
Category: Discipline
  • Commercial Management
  • 6814
  • 24364
  • Management and Budget Accounting
  • IPLUSO6814-24364
  • 2
  • 6
  • 0
  • 4
  • Não
  • Português
  • Semestral
  1. Comparative Imaging and Radiomics
  2. Osteopathic Manipulative Techniques III
  3. Digital Platforms in Tourism
  4. Illustration for Visual Communication

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