Marketing Simulator

Category: Discipline
  • CESIM (2021), SIMBRAND Decision-making Guide. CESIM (2019), SIMBRAND Marketing research. CESIM (2021), SIMBRAND Case description. Kotler, P., Keller, K.L & Chernev, A. (2022). Marketing Management (16ª ed.). Hoboken, NJ: Pearson Education.
  • Marketing
  • 7153
  • 27438
  • Marketing Simulator
  • ISLA Santarém7153-27438
  • 3
  • 5
  • 0
  • 25
  • Não
  • Português
  • The teaching methodology is primarily based on practical and laboratory classes, using a marketing simulation set in the Cesim context. It also includes tutorials to support decision-making and the development of group projects. Synchronous distance learning sessions include the presentation of concepts through lectures and demonstrations, with an analysis of the results of each round of the simulation. In-person classes focus on practical application through decision-making in each round, promoting active participation, collaborative work, and gamification. Independent work involves analyzing the results generated by the simulation and conducting supplementary research on the topics covered. The instructor provides tutorial guidance and feedback, either in person or asynchronously via the Moodle platform. Students can also use the virtual tutor Philix.ai as a supplementary resource to support their learning process.
  • Mandatory
  • O1. Validate and apply marketing concepts and techniques, namely market segmentation, positioning, investments in channels and advertising, after-sales services, pricing, sales forecasting, market research, competition analysis, R&D and profitability. O2. To inform students about the marketing decision-making process. O3. Enhance the dynamics of teamwork in competitive environments. O4. Teamwork and decision-making in a dynamic and competitive context. O5. Design, implement and adapt marketing strategies in a dynamic competitive environment. O6. Marketing decision making, including: portfolio strategies, segmentation and positioning. O7. Promote fact-based decision-making, understanding the financial implications of marketing decisions.
  • 1. A brief review of the fundamental concepts of marketing and how they are approached/worked with in the simulator. 2. The Cesim Simulator - SimBrand 2.1 Introduction to the simulator, presentation of menus and functionalities. 2.2 Characterization of the case associated with the simulation. 2.3 Analysis of the theories and concepts associated with simulation: understanding the customer, market analysis, competitive analysis, channels and distribution, marketing mix, financial analysis. 2.4 Decisions in the simulator and implementation of the company's marketing policy. 2. 5 Analysis of the results of decisions in eight successive years and discussion. 2.6 Balance of the game and synthesis of learning.

  • Esta unidade curricular será avaliada em sistema de avaliação curricular (contínua):
    A1. Trabalho prático (grupo). Resultados da simulação em ambiente competitivo.
    A2. Relatório que integre o racional das decisões tomadas e o seu alinhamento às teorias e conceitos explorados (em grupo).
    O estudante é aprovado se a classificação final for igual ou superior a 9,5 valores em 20.
    A classificação final é calculada através da fórmula Classificação Final = 0,6*A1+0,4*A2.
    A classificação mínima na avaliação curricular (continua) a aplicar é a seguinte:
    A1. Trabalho prático (grupo): 10 valores.
    A2. Relatório: 10 valores.
    A avaliação dos trabalhos em grupo, inclui a avaliação individual dos estudantes que terá uma ponderação de 40% na classificação do
    estudante nessa componente.
    Avaliação Final ou Avaliação em Época de Recurso e Época Especial (A): O estudante realiza o exame completo (A=100%) e é aprovado
    se obtiver uma classificação igual ou superior a 9,5 valores em 20. O Exame será baseado na análise de um caso de estudo e aplicação /
    explanação dos conceitos definidos no ponto 1 dos conteúdos programáticos.

     
  • Semestral
  •    

Information Systems for Management

Category: Discipline
  • Laudon, K. &, Laundon J. (2021). Management Information Systems – Managing the Digital Firm, Global Edition. Marr, B. (2021). Data Strategy: How to Profit from a World of Big Data, Analytics and Artificial Intelligence, Kogan Page Ribeiro, R & Veiga, P. (2022). Transformação Digital - Os Desafios, o Pensar e o Fazer. Actual Editora. Jason L. Anderson, Jeffrey L. Coveyduc (2020). Artificial Intelligence for Business: A Roadmap for Getting Started with AI. Willey.
  • Business Processes and Operations Management
  • 1860
  • 12670
  • Information Systems for Management
  • ISLA Santarém1860-12670
  • 2
  • 5
  • 0
  • 25
  • Não
  • Português
  • In-person:  1. Expository method: presentation of each of the content topics. 2. Practical application through guided exercises to consolidate knowledge. 3. Laboratory practice: based on the Problem-Based Learning (PBL) methodology, aiming to find solutions to problems identified by students or proposed by the teacher. Independent: 4. Guided research proposed by the teacher to analyze practical cases proposed by the teacher. The teacher provides feedback on the development of the problem addressed in the laboratory practice (Tutorial Guidance - TG) in person in the classroom and/or through the Moodle teaching/learning support platform.
  • Mandatory
  • Objectives: O1. Present the concept of system and its usefulness in the study of complex situations; O2. Present the concept of IS, O3. Describe and identify what an IS is; O4. Distinguish and compare different information systems; O5. Identify the basic functions of IS management; O6. Recognize the need to use frameworks and reference models in organizations; O7. Frame IS in the organization, through key reference concepts in IS management; O8. Present techniques and methods for the development and maintenance of information systems. O9. Discuss and deepen knowledge about information systems architectures. Competency Skills: C1. Know, analyze and design an architecture for business IS; C2. Plan and manage information systems projects suited to the organization's objectives. C3. Participate in the selection of information systems best suited to the organization's objectives.
  • 1. Information systems concepts 2. Information systems management 3. Architectures and frameworks for information systems 4. Information systems design and modeling 5. Support systems and technologies applied to organizational management (ERP, GIS, CRM, SCM) 6. Artificial intelligence applied to management processes 7. Digital transformation in organizations

  • A avaliação curricular será concretizada através 2 momentos de avaliação: Projeto com componentes teórica e prática, valendo 50% da nota final (1 momento de avaliação) e outro teste 50% (2º momento de Avaliação). A avaliação final compreende a realização de um exame escrito (100%).
  • Semestral
  • The course covers the study and management of information systems, exploring architectures, frameworks, and technologies that support digital transformation and artificial intelligence, promoting skills in the design, planning, and management of business solutions geared toward organizational objectives. 

Biomedical Sensors

Category: Discipline
  • Sandro Carrara, Krzysztof Iniewski, (2015). Handbook of Bioelectronics: Directly Interfacing Electronics and Biological Systems. Cambridge University Press. Ahmed Barhoum (2022); Advanced Sensor Technology Biomedical, Environmental, and Construction Applications; Elsevier - Health Sciences Division. Ayan Kumar Panja, Amartya Mukherjee, Nilanjan Dey, (2022); Biomedical Sensors and Smart Sensing: A Beginner's Guide; Elsevier Science. Z Altintas (2018). Biosensors and Nanotechnology: Applications in Health Care Diagnostics; Wiley-Blackwell Artigos científicos recentes, designadamente da Revista Biosensors & Bioelectronics da ED. Elsevier ou da Revista Biosensors da Ed. MDPI
  • Data and Technology Management in Health
  • 7055
  • 26702
  • Biomedical Sensors
  • ISLA Santarém7055-26702
  • 3
  • 5
  • 1258
  • 25
  • Não
  • Português
  • The classes are primarily developed using the following methodologies: Synchronous (distance): MET 1. - Use of expository methodology for presenting concepts and content, complemented with interrogative and demonstrative methods to consolidate this content. In-person: MET 2. - Active methodologies, including cooperative learning, peer learning, case studies, and Project-Based Learning, where students are encouraged to carry out individual or group projects involving the development of biomedical sensors and their application to real-world health problems. Autonomous: MET 3. - Various educational resources (videos, links, apps, handouts, exercises and applications, instructor notes, etc.) are made available on the Moodle platform. The instructor provides feedback (Tutorial Guidance - OT) on the development of projects, either in person during classroom sessions or through the Moodle platform. 
  • Optional
  • The course covers the fundamental principles of biomedical sensors, including signal transduction techniques, characteristics of the biomaterials used, manufacturing methods and clinical applications. The different types of sensors used in medical diagnosis, health monitoring and therapeutic interventions will be discussed. The learning objectives are: O1. Understand the relevance of biomedical sensors O2. Understand the principles of signal transduction in biomedical sensors O3. Analyse the characteristics of biomaterials used in the manufacture of biomedical sensors  O4. Explore the methods of manufacturing biomedical sensors. O5. Investigate the clinical applications of biomedical sensors. O6. Develop practical skills in the construction and testing of biomedical sensors O7. Communication skills, teamwork and building arguments in defence of solutions found.  
  • 1 Introd. to Biomedical Sensors 1.1 Defin.and importance of BS 1.2 Classific. of BS 1.3 Health and bioengineering applications 2. Principles of Signal Transduction 2.1 Transduction of electrical, optical and mechanical signals 2.2 Passive vs. active sensors 2.3 Sensitivity, precision and linearity characteristics 3. Biomaterials in SB 3.1 Properties of biomaterials used in BS 3.2 Biocompatibility and biodegradability 3.3 Selection of biomaterials for specific applications 4. SB Manufacturing Methods 4.1 Techn. for manufacturing thin film sensors 4.2 Microfabrication of sensors on a micro and nanometre scale 4.3 3D printing and additive manufacturing techniques 5. Clinical applications of SB 5.1 Monitoring vital signs 5.2 Diagnosis of chronic and acute diseases 5.3 Implantable sensors and medical devices 6. Practical development of SB 6.1 SB design and construction 6.2 Performance testing and sensor calibration 6.3 Analysing data and interpreting results

  • Avaliação Curricular (contínua (presencial):
    Esta modalidade de avaliação é constituída por:
    AVAL 1. Participação ativa nos exercícios e questionários das aulas.
    AVAL 2. Apresentação do Trabalho prático em grupo (relatório e apresentação oral). AVAL 3. Teste final teórico/prático.
    A classificação final é calculada através da fórmula Classificação Final = 0,2*AVAL 1+0,4*AVAL 2 + 0,4 *AVAL 3. O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.

    Avaliação Final (presencial) - A: O estudante realiza o exame teórico-prático (100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
    Época de Recurso e Época Especial (presencial) - A: O estudante realiza o exame teórico-prático (100%) e fica aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.

     
  • Semestral
  •   

Option

Category: Discipline
  • Marketing
  • 7153
  • 2261
  • Option
  • ISLA Santarém7153-2261
  • 3
  • 4
  • 1330
  • 25
  • Não
  • Português
  • Semestral

Logistics and Distribution

Category: Discipline
  • Baisya, R. (2024). Supply Chain and Logistics Management, An Integrated Approach. Routledge. Bowersox, D., Closs, D., Cooper, M. B. (2024). Supply Chain Logistics Management, 6th Edition. McGraw Hill. Rushton, A.; Croucher, P.; Baker, P. (2022). The Handbook of Logistics and Distribution Management, Understanding the Supply Chain. KoganPage. Salgado, T. T. (2023). Logística, Práticas, Técnicas e Processos de Melhorias. Editora Senac  
  • Business Processes and Operations Management
  • 1860
  • 4176
  • Logistics and Distribution
  • ISLA Santarém1860-4176
  • 2
  • 7
  • 0
  • 25
  • Não
  • Português
  • In-person: 1. Theoretical/practical classes: presentation of concepts, discussion, and application of program content in various contexts. 2. PBL-based learning - Problem/Project-based learning Independent: 3. Consolidation of content taught in class through additional research on the different topics and content covered and development of complementary work.  
  • Mandatory
  • O1. Present the main concepts associated with distribution and logistics management. O2. View distribution and logistics management as components of the company's marketing strategy. O3. Identify strategies for managing the supply chain. O4. Identify storage systems and materials handling equipment. O5. Present and discuss forecasting methods. O6. Present the concepts, methods and techniques for fleet management. O7. Apply knowledge to concrete situations effectively and efficiently.
  • 1. Distribution and Logistics: Distribution strategy. Integrated logistics. Business logistics. Supply chain management. 2. Supply Chain: Concept. Network design. SC management strategies. 3. Warehouse Management: Storage systems and equipment. Organization and control of warehouses and storage systems.  Framework and models for warehouse design and management. 4. Forecasting methods: Introduction to forecasting methods. Forecasting and decision making. Selection and comparison of forecasting methods. 5. Movement of materials and goods: Planning and integration. Benefits. 6. Transportation - Fleet management: Selection methods. Route planning. Internationalization

  • A avaliação curricular será concretizada através da realização escrita e apresentação oral de um trabalho de aplicação em grupo, sendo a avaliação efetuada individualmente por questionamento individual (100%).

    A avaliação final ou de recurso será concretizada através de exame nos mesmos moldes da avaliação curricular, realização escrita e apresentação oral de um trabalho de aplicação individual (100%).
     
  • Semestral
  • The course presents the fundamental concepts of distribution and logistics management as components of marketing strategy, addressing supply chain, storage, forecasting, and fleet management, and applying this knowledge to the effective and efficient resolution of concrete situations.
  1. Health Decision Support Systems
  2. Project Management
  3. Maintenance Management
  4. Chemistry I

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