1- Characterization of legal persons, mandatory and taxation requirements
2- Constitutive process of a commercial company: Stages of constitution, share capital, company contract, registers and declarative obligations
3- Transformation and restructuring of companies; merger, demerger and acquisition.
4- Corporate accounting, legal and tax reporting duties
5- File organization: digital archive and document management.

Regular Season: continuous assessment, min. attendance 80% and participation in all assessment instruments. a) attendance, punctuality and individual participation: 20%; b) individual and group works: 40%; c) individual test: 40%. Students opting for an individual exam only, weigthting 100%, with a min. 10 points.
Resitting: for students who fail in the normal season or want to improve their grade, exam with a weighting of 100%, min. score 10 points. There is no oral exam to improve the grade.

Mandatory

Vários Autores. (2021). Comercial - Código Comercial, Código das Sociedades Comerciais e legislação conexa, 16ª Edição. Porto Editora
Abreu, Coutinho (2021). Curso de Direito Comercial (volumes I e II), 7ª edição. Almedina

Optional

OECD. (2005). OECD model tax convention on income and on capital, condensed version ? July 2005. Paris: OECD Publishers.
Marreiros, J. M. (2021). Sistema Fiscal Português, 18ª Edição. Áreas Editora
Cordeiro, A. M. (2021). Código das Sociedades Comerciais ? Anotado, 4ª Edição, 2021, Almedina

This CU presents as main Programmatic Contents (CP):
PC1 - Introduction to Marketing and Marketing Strategy.
PC2 - Consumer Decision Buying Proccess - ZMOT, Process step and campaign phases
PC3 -Marketing Plan Structure – situational analysis, SWOT, goals definition, positioning, target and segmentation, actions and monitoring KPIs
PC4 - Marketing mix
PC5 - POEM Framework - Paid Digital Channels – Video, Display, SearchEngine Marketing, Email Marketing, Paid Social Media, Influencers
PC6 - POEM Framework - Earned Digital Channels
PC7 - POEM Framework – Owned Digital Channels – Site, Social Media, Apps and Google My Business
PC8 - Website – structure, consumer experience and SEO
PC9 - Analytics and KPIs

Assessment throughout the semester:
Participation in all assessment instruments.
Individual participation in class: 20%;
Individual and group exercises: 40%;
Written test at the end of the semester in the 1st period - 40%
The minimum score for validation of the assessment in each assessment instrument is 9,5 points.
Students who choose only an individual exam, weighting 100%, minimum grade 9,5 points.
There is no oral exam to improve your grade.

Mandatory

Dionísio, P., Guerreiro, J., Faria, H., Rodrigues, V., & Canhoto, R. (2024). AI_Novator: Marketing na era da inteligência artificial e da sustentabilidade – Gen AI e ESG. Bertrand Editora.
Chaffey, D., & Ellis-Chadwick, F. (2022). Digital marketing (8th ed.). Pearson.

Optional

Kingsnorth, S., Digital Marketing Strategy - An Integrated Approach to Online Marketing, 2019, 2nd Editon, Kogan Page
Kotler, P., Kartajaya, H., & Setiawan, I. (2024). Marketing 6.0: O futuro é imersivo. Lisboa: Edições Centro Atlântico.
Marques, V. (2017). Marketing Digital 360º. Lisboa: Edições Centro Atlântico.
Baynast, A. de, Dionísio, P., Lévy, J., Rodrigues, V., & Lendrevie, J. (2018). MERCATOR 25 Anos: O marketing na era digital. Lisboa: Dom Quixote.

I. Introduction to Entrepreneurship;
II. Generation and discussion of business ideas;
III. Value Proposition Design;
IV. Business Ideas Communication;
V. Business Models Creation;
VI. Business Plans Generation;
VII. Minimum viable product (products, processes and services) test and evaluation;
VIII. Scalability analysis;
IX. Internationalization and commercialization;
X. Funding sources

Periodic grading system: - Group project: first presentation: 30%; second presentation: 30%; final report: 40%.

Mandatory

A. Osterwalder, Y. Pigneur / John Wiley & Sons, Value Proposition Design: How to Create Products and Services Customers Want, 2014, ·, ·
A. Osterwalder, Y. Pigneur / John Wiley & Sons, Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers., 2010, ·, ·
P. Burns / Palgrave Macmillan, Entrepreneurship and Small Business, 2016, ·, ·
S. Mariotti, C. Glackin / Global Edition. Pearson; Dorf. R., Byers, T. Nelson, A. (2014). Technology Ventures: From Idea to Enterprise. McGraw-Hill Education, Entrepreneurship: Starting and Operating A Small Business, 2015, ·, ·

Optional

1 - Introduction to Risk Management
2 - Fundamental Concepts of Risk
3 - Types of Risk (financial and non-financial)
3.1 - Market and Liquidity Risks
3.2 - Credit Risk
3.3 - Operational Risk
4 - Fraud and Money Laundering
5 - IT Risk
6 - Risk Management in Organizations: The Compliance Function
7 - The Use of Information Technologies in Risk Management
8 - Trends in the Use of New Technologies in Risk Management

Regular Period: continuous assessment, minimum attendance of 80%, and participation in all evaluation instruments. a) Group practical cases with in-class presentation: 60%; b) written test: 40%. Students who opt only for an individual exam, weighting 100%, minimum grade 10.
Resit Period: for students who fail in the regular period or wish to improve their grade, an exam with a weighting of 100%, minimum grade 10. There is no recourse to an oral exam for grade improvement.

Mandatory

Crouhy, M., Galai, D., & Mark, R. (2019). The essentials of risk management. 2nd Edition. New York: McGraw-Hill.
Coleman, T. (2011). A practical guide to risk management. CFA Institute Research Foundation M2011-2.
Moeller, R. R. (2011). COSO enterprise risk management: establishing effective governance, risk, and compliance processes, 2nd Edition. John Wiley & Sons.

Optional

Assi, M. (2019). Governança, riscos e compliance: mudando a conduta nos negócios. Saint Paul Editora.
Buchanan, D. A., & Huczynski, A. A. (2019). Organizational behaviour. Pearson UK.
Carvalho, M. C., Gonçalves, R., Lopes da Costa, R., Pereira, L. F., & Dias, A. (2022). Contributions of Artificial Intelligence in Operational Risk Management. International Journal of Intelligent Information Technologies (IJIIT), 18(1), 1-16. http://doi.org/10.4018/IJIIT.296237
Allan, N., Cantle, N., Godfrey, P., & Yin, Y. (2013). A review of the use of complex systems applied to risk appetite and emerging risks in ERM practice: Recommendations for practical tools to help risk professionals tackle the problems of risk appetite and emerging risk. British Actuarial Journal, 18(1), 163-234.
Gonçalves, Rui Alexandre Henriques. (2012) "Sistemas de informação para gestão de risco operacional em instituições financeiras". http://hdl.handle.net/10400.5/4264

1 ? Tax concept
2 - Constitutional tax principles
3 - Corporate income tax (IRC)
4 - Value-added tax (VAT)
5 ? Digital technologies applied to tax management

Regular Season: continuous assessment, min. attendance 80% and participation in all assessment instruments. a) attendance, punctuality and individual participation: 10%; b) individual and group works: 40%; c) individual test: 50%. Students opting for an individual exam only, weigthting 100%, with a min. 10 points.
Resitting: for students who fail in the normal season or want to improve their grade, exam with a weighting of 100%, min. score 10 points. There is no oral exam to improve the grade.

Mandatory

Bardopoulos, A. (2015). eCommerce and the effects of technology on taxation. Cham: Springer.
Estatuto dos Benefícios Fiscais
Códigos do IRC e IVA
Lei Geral Tributária
Constituição da República Portuguesa
Carlos, A. B. (2016). Impostos - Teoria Geral. Almedina

Optional

OECD (2005) OECD model tax convention on income and on capital, condensed version ? July 2005. Paris: OECD Publishers.
Carlos, A. B., Abreu, I., Durão, J., & Pimenta, M. E. (2021). Guia dos Impostos em Portugal 2020. Quid Juris

PC1. Introduction to the main data analysis problems for Management
PC2. Structured and Unstructured Data Types. Collection and Treatment
PC3. Exploratory Data Models. Segmentation
PC4. Predictive Models. Regression and Classification Techniques
PC5. Text and Sentiment Analysis.

1) Assessment throughout the semester:
- Individual test (60%).
- Group work (40%).

Approval: a) min. 7.5 points in each of the assessment elements; b) minimum final classification. 10 values; c) Minimum attendance of no less than 3/4 of classes is required.

2) Assessment by exam (1st period): written test (100%), with a minimum grade of 10.
3) Assessment by exam (2nd period): written test (100%) with a minimum grade of 10.

Scale: 0-20 points.

Mandatory

Torgo, L. (2011). Data mining with R: learning with case studies. Chapman and Hall/CRC.Crawley.
Tattar, P., Ojeda, T., Murphy, S. P., Bengfort, B., & Dasgupta, A. (2017). Practical Data Science Cookbook. Packt Publishing Ltd.

Optional

Provost, F., & Fawcett, T. (2013). Data Science for Business: What you need to know about data mining and data-analytic thinking. " O'Reilly Media, Inc.".
Miller, T. W. (2015). Marketing data science: modeling techniques in predictive analytics with R and Python. FT Press.
Mathur, P. (2018). Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance. Apress.
Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data. " O'Reilly Media, Inc.
O'Neil, C., & Schutt, R. (2013). Doing data science: Straight talk from the frontline. " O'Reilly Media, Inc.".

I. Development of the product/service image
II. Functionalities of the product/service
III. Development plan
IV. Development of the product/service (web/mobile or other)
V. Revision of the business plan
VI. Management and maintenance of the product/service
VII. Certification plan
VIII. Intellectual property, patents, and support documentation
IX. Main aspects for the creation of a startup - juridical, account, registry, contracts, social capital, obligations, taxes

Periodic grading system:
- Group project: first presentation: 30%; second presentation: 30%; final report: 40%. The presentations, demonstrations and Defence are in group.

Mandatory

·
A. Osterwalder, Y. Pigneur / John Wiley & Sons, Value Proposition Design: How to Create Products and Services Customers Want, 2014, ·, ·
A. Osterwalder, Y. Pigneur / John Wiley & Sons, Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers, 2010, ·, ·
P. Burns / Palgrave Macmillan, Entrepreneurship and Small Business, 2016, ·, ·
R. Dorf, T. Byers, A. Nelson / McGraw-Hill Education, Technology Ventures: From Idea to Enterprise., 2014, ·, ·
S. Mariotti, C. Glackin / Global Edition. Pearson, Entrepreneurship: Starting and Operating A Small Business, 2015, ·, ·

Optional

1. The map of the firm: Assets and Resources, investment and funding vs shareholders return and interes
2. The concept of income vs cash flow, and the different roles of the accounting and the finance
3. The concept of investment and interest - time value
4. Stated vs effective and current vs real interest rates, equivalent rates
5. Simple interest and compound interst. Day count convention
6. Discounting and compounding, value equation, APR (EAR and EGAR), yields, spot and forward rates
7. Periodic and regular flows: annuities
8. Investments and loans: general formulas and repayment tables
9. Main Profitability and Solvency ratios and indicators: ROA, Margins, Turnover, ROE, average cost of debt, financial leverage, Net Permanent Capital, Working Capital, Liquidity Indicator
10. Capital budgeting: nature, concept of cash flow and discount rate
11. Evaluation criteria: NPV, IRR, PI, DPP

Assessment along the semester: min. attendance 80% and participation in all assessment instruments. a) attendance, punctuality and individual participation: 10%; b) individual and group works: 40%; c) individual test: 50%.
Evaluation by exam: for students who fail the assessment along the semester , or who opt for evaluation by exam, or who want to improve their grade - exam with a weighting of 100% - minimum grade of 9.5. There is no oral exam to improve the grade. But there can be an oral exam to defend a grade above 16.

Mandatory

Martins, A. (2020). Excel Aplicado à Gestão, 5ª Ed., Sílabo.
Curto, J. D., Vieira, D. S. (2023). Excel para Economia e Gestão, 5ª Ed., Sílabo.
Mota, A. G., Barroso, C., Soares, H., Laureano, L. (2023). Introdução às Finanças, 4ª Ed., Sílabo.

Optional

Fabozzi, F.J., Fabozzi, F.A., Lopez de Prado, M., & Stoyanov, S. V. (2021). Asset Management: Tools and Issues. World Scientific.
Hastings, N. A. (2021). Physical asset management. London: Springer.
Borges, A., A. Rodrigues, R. Rodrigues e J. A. Rodrigues (2021). Elementos de Contabilidade Geral, 27rd Ed. Áreas Editora.

This CU presents as main Programmatic Contents (PC):
PC1. Logistics and Supply Chain Management: Physical and information flows
PC2. Planning and integration models for logistics
PC3. Technology integration in warehouse management
PC4. Technology integration in distribution management
PC5. Information management in commercial and industrial applications

Assessment throughout the semester: Participation in all assessment instruments.
Individual participation in class: 20%;
Individual and group exercises: 40%;
Written test at the end of the semester in the 1st period - 40%
The minimum score for validation of the assessment in each assessment instrument is 10 points.
Students who choose only an individual exam, weighting 100%, minimum grade 10 points.
There is no oral exam to improve your grade.

Mandatory

Carvalho, J. C. (2023). Logística e Gestão da Cadeia de Abastecimento, Edições Sílabo.
Paksoy, T., Kochan, C. G., & Ali, S. S. (Eds.) (2021). Logistics 4.0: Digital Transformation of Supply Chain Management. CRC Press

Optional

Christopher, M. (2011). Logistics and Supply Chain Management, 4ª edição, Pitman Publishing.
Rushton, A., Croucher, P., Baker, P. (2017). The handbook of Logistics and Distribution Management, 7ª edição, Kogan Page
Hopkins, J., & Hawking, P. (2018). Big Data Analytics and IoT in logistics: a case study. The International Journal of Logistics Management, 29(2), 575-591
Feng, B., & Ye, Q. (2021). Operations management of smart logistics: A literature review and future research. Frontiers of Engineering Management, 8(3), 344–355

PC1. Fundamentals – strategy in practice
PC2. Strategy formulation – vision, mission, and values
PC3. Analysis of the external environment – mediate and immediate
PC4. Analysis of the internal environment – VRIO and dynamic capabilities
PC5. Business strategies – generic strategies and blue ocean
PC6. Corporate strategies – vertical integration, strategic outsourcing, diversification, strategic alliances, internationalization, mergers and acquisitions
PC7. Planning, budgeting, implementation, control, and balanced scorecard

Assessment throughout the semester:
Minimum requirements:
- Minimum attendance of 80%
- Participation in all assessment components throughout the semester
Assessment instruments (AI):
a) Project deliverable A – vision, mission, values: no admission requirements or minimum grade, group assessment, weight 5%
b) Project deliverable B – external environment analysis: no admission requirements or minimum grade, group assessment, weight 20%
c) Project deliverable C – internal environment analysis: no admission requirements or minimum grade, group assessment, weight 5%
d) Project deliverable D – business strategies: no admission requirements or minimum grade, group assessment, weight 20%
e) Retrospective results analysis report of the simulation: admission requirement of participation in the business simulation, no minimum grade, individual assessment, weight 10%
f) Multiple-choice exam: no admission requirements, minimum grade 9,5, individual assessment, weight 40%

Final exam assessment
g) Written exam: no admission requirements, minimum grade 9,5, individual assessment, weight 100%

Resit exam period: for students who fail in the regular period or wish to improve their grade, a written exam with 100% weight and a minimum grade of 9,5. No oral exam is allowed for grade improvement.

Mandatory

Thompson, A., Peteraf, M., Gamble, J., and Strickland, A. (2022). Crafting & Executing Strategy: the quest for competitive advantage: concepts and cases. McGraw-Hill (23rd ed)

Optional

-

S1: Introduction to AI and Generative AI: concepts, historical evolution, myths and realities.
S2: Machine Learning: supervised and unsupervised learning (regression, decision trees, k-means), including sales forecasting and customer segmentation.
S3: Natural Language Processing: basic definitions and concepts, sentiment analysis, prompt engineering, creation of personalized chatbots.
S4: AI Tools for Business: Power BI predictive features, Microsoft Co-pilot, ChatGPT, automated reporting and presentations.
S5: AI Legislation and Policies: ethics, regulations (GDPR, AI Regulation), governance and responsible practices.
S6: Applications across sectors (marketing, operations management, HR), covering campaign generation, predictive analytics and risk control.

This course unit follows the mode of assessment throughout the semester (ALS), provided for in the RGACC, and is made up of two assessment blocks (AB), each combining different instruments:

-- Assessment Throughout the Semester (ALS):
- AB1 (40%): Two written mini-tests (20% each) carried out individually at different times, covering theoretical and practical AI content. Each mini-test has a minimum mark of 8.5.

- AB2 (60%): Practical AI for Business project, developed in groups or individually, which includes research, implementation of an AI-based solution (e.g. a chatbot or predictive model) and a written report. This project may involve an individual or group oral presentation to clarify authorship and gauge knowledge. The minimum mark for this block is 8.5.

In any AB, an individual oral discussion may be required to confirm authorship and/or assess knowledge proficiency at any time during the semester.

Passing the course unit requires a minimum final mark of 10, resulting from the weighted sum of the ABs, and compliance with the minimum marks in each component.

-- Assessment by Exam
There are two exam periods (1st and 2nd), each weighted at 100%. The exam covers all the content of the course, including theoretical and practical aspects, as well as case studies. Students who opt for this method or do not meet the conditions for passing the assessment during the semester may take the exam. In this case, passing also requires a minimum mark of 10.

Attendance at classes is not compulsory, although active participation is recommended to consolidate knowledge and closely follow the teacher's instructions.

The student's physical presence is mandatory in all assessment elements, under penalty of failure in the course unit and/or assignment of a score of 0 to the assessment element.

Mandatory

1. Appio, F. P., La Torre, M., Lazzeri, G., Masri, R., & Schiavone, F. (2024). Impact of Artificial Intelligence in Business and Society: Opportunities and Challenges.
2. Ozdemir, S. (2023). Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs. Addison-Wesley Professional.
3. T. H., & Mittal, N. (2023). All In on AI: How Smart Companies Win Big with Artificial Intelligence. Harvard Business Review Press.
4. Hemachandran, K., & V., R. R. (2023). Artificial intelligence for business: An implementation guide containing practical and industry-specific case studies (K. Hemachandran & R. V. Rodriguez, Eds.; 1.a ed.). Taylor & Francis.

Optional

5. Géron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, And Tensorflow : Concepts, Tools, And Techniques to Build Intelligent Systems. Sebastopol, CA: O'Reilly Media, Inc.
6. Ller, A. & Guido, S. (2017). Introduction To Machine Learning with Python: A Guide for Data Scientists. Sebastopol, CA: O'Reilly Media, Inc.
7. VanderPlas, J. (2016). Python Data Science Handbook. O’Reilly Media.

I. Essential aspects for the PPS commerce
II. Production plan
III. Sustainability plan and SDGs
IV. Standardization, Standards and Certification of PPSs
V. Commercial contracts
SAW. Procedures and reports for the registration of intellectual property, brand and design
VII. Creation of Startup, Spinoff
VIII Aspects of property transfer
IX. Business proposals
X. Approaches to be implement with potential customers
XI. Prepare the approach to be developed with clients in the 1st contact, presentation of the commercial proposal and communication for the 2nd and 3rd contact.
XII. Optimization of the Communication Plan

The periodical evaluation is divided into four moments:
- Submission 1: PPS Description, PESTEL Analysis, PPS Value Chain – 15%
- Submission 2: Cover Letter, Pilot Planning, Goals and Indicators – 20%
- Submission 3: PPS Dossier – 15%
- Final Presentation – 40%
Individual Assessment conducted in class – 10%

All submissions, demonstrations, and defenses are carried out in groups.
There is no final exam in this course unit, due to the practical nature of its evaluation components.

Mandatory

·
M. Hart, How to Write a Business Proposal [Examples + Template], 2021, ·, https://blog.hubspot.com/sales/how-to-write-business-proposal (acedido em Setembro 2021)
S. Spivak, F. Brenner / CRC Press, Standardization Essentials Principles and Practice, 2001, ·, ·
D. Counsell, R. Stoneman, Planning, Sustainability and Nature: Concise guide to planning, 2019, ·, ·
K. Mathew / Revised Edition, CSIPP., Practical Guide To Production Planning & Control, 2017, ·, ·
P. Randy, D. Bacon / 1st Edition, Prentice Hall., Commercializing Great Products with Design for Six Sigma, 2006, ·, ·

Optional

1 - Mission, vision and values
1.1. Mission, vision and values
1.2. Strategy and strategic objectives
2. Value measures: A multidimensional perspective
2.1. Value concept, face of the stakeholders expectations
2.2. Value analysis dimensions
2.3. An integrated value model: people, internal process and technology
2.4. Segment concept and methodology for its structuring.
3. Management information system
3.1. Accounting system requirements to meet external requirements and management needs
3.2. Integrated financial and non-financial information system requirements
3.3. The concept of entity as the basis of economic and social activity: types and MIS requirements for relationship management.
4 Information Technologies to support the management model
4.1. Expertise of technologies related to ERP and CRM.
4.2. An integrated and comprehensive view of the information system for managers

Student should acquire analytical, information gathering, written and oral communication skills, according the learning outcomes
To the acquisition of these skills will be used the following learning methodologies (LM):
1. Expositional-theoretical reference frames
2. Participative, with analysis and discussion of case studies, applying technology to reference frames
3. Active, with the realization of individual and group works, on a technological environment
4. Self-study, with autonomous work.

Regular Season: continuous assessment, min. attendance 80% and participation in all assessment instruments. a) attendance, punctuality and individual participation: 10%; b) individual and group works: 40%; c) individual test: 50%. Students opting for an individual exam only, weigthting 100%, with a min. 10 points.
Resitting: for students who fail in the normal season or want to improve their grade, exam with a weighting of 100%, min. score 10 points. There is no oral exam to improve the grade.

Mandatory

McKinney, E. H., & Kroenke, D. M. (2018). Processes, systems, and information: An introduction to MIS, 3rd Edition. Prentice Hall.
Côrtes, P. L. (2017). Administração de Sistemas de Informação. Saraiva Educação SA.
Pearlson, K. E., Saunders, C. S., & Galletta, D. F. (2016). Managing and using information systems: A strategic approach. John Wiley & Sons.

Optional

Peters, M. D., Wieder, B., Sutton, S. G., & Wakefield, J. (2016). Business intelligence systems use in performance measurement capabilities: Implications for enhanced competitive advantage. International Journal of Accounting Information Systems, 21, 1-17.
Arnott, D., Lizama, F., & Song, Y. (2017). Patterns of business intelligence systems use in organizations. Decision Support Systems, 97, 58-68.
Trieu, V. H. (2017). Getting value from Business Intelligence systems: A review and research agenda. Decision Support Systems, 93, 111-124.
Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29-44.

S1. The digital transformation as a new civilizational paradigm.
S2. The impact of digital technologies on the economy.
S3. The impacts of digital technologies on work.
S4. The impact of digital technologies on inequalities.
S5. The impacts of digital technologies on democracy.
S6. The impacts of digital technologies on art.
S7. The impacts of digital technologies on individual rights.
S8. The impacts of digital technologies on human relations.
S9. The impacts of digital technologies on the future of humanity.
S10. Responsible Artificial Intelligence.
S11. The impact of quantum computing on future technologies.
S12. The impact of digital technologies on geopolitics.

The assessment process includes the following elements:

A) Ongoing assessment throughout the semester
A1. Group debates on issues and problems related to each of the program contents. Each group will participate in three debates throughout the semester. The performance evaluation of each group per debate will account for 15% of each student's final grade within the group, resulting in a total of 3 x 15% = 45% of each student's final grade.
A2. Participation assessment accounting for 5% of each student's final grade.
A3. Final test covering part of the content from the group debates and part from the lectures given by the instructor, representing 50% of each student's final grade.
A minimum score of 9.5 out of 20 is required in each assessment and attendance at a minimum of 3/4 of the classes is mandatory.

B) Final exam assessment Individual written exam, representing 100% of the final grade.

Mandatory

Chalmers, D. (2022). Adventures in technophilosophy In Reality+ - Virtual Worlds and the problems of Philosophy (pp. xi-xviii). W. W. Norton & Company.
Chin, J., Lin, L. (2022). Dystopia on the Doorstep In Deep Utopia – Surveillence State – Inside China’s quest to launch a new era of social control (pp. 5–11). St. Martin’s Press.
Dignum, V. (2019). The ART of AI: Accountability, Responsibility, Transparency In Responsible Artificial Intelligence - How to Develop and Use AI in a Responsible Way (pp. 52–62). Springer.
Howard, P. N. (2020). The Science and Technology of Lie Machines In Lie Machines - How to Save Democracy from Troll Armies, Deceitful Robots, Junk News Operations, and Political Operatives (pp. 1-4; 6-7; 10-18). Yale University Press.
Kearns, M., Roth, A. (2020). Introduction to the Science of Ethical Algorithm Design In The Ethical Algorithm - The Science of Socially Aware Algorithm Design (pp. 1-4; 6-8; 18-21). Oxford University Press.

Optional

(Principal - continuação)
Kissinger, H. A., Schmidt, E., Huttenlocher, D (2021). Security and World Order In The Age of AI - And Our Human Future (pp. 157–167, 173-177). John Murray Publishers.
Parijs, P. V., Vanderborght, Y. (2017). Ethically Justifiable? Free Riding Versus Fair Shares In Basic Income - A Radical Proposal for a Free Society and a Sane Economy (pp. 99–103). Harvard University Press.
Pentland, A. (2014). From Ideas to Actions In Social Physics – How good ideas spread – The lessons from a new science (pp. 4–10). The Penguin Press.
Zuboff, S. (2021). O que é capitalismo de vigilância? In A Era do Capitalismo de Vigilância - A luta por um futuro humano na nova fronteira de poder (pp. 21–25). Intrínseca.

***
(Complementar)
Acemoglu, D.; Johnson, S. (2023). What Is Progress? In Power and progress: our thousand-year struggle over technology and prosperity (pp. 1 - 7). PublicAffairs.
Bostrom, N. (2024). The purpose problem revisited In Deep Utopia – Life and meaning in a solved world (pp. 121–124). Ideapress Publishing.
Castro, P. (2023). O Humanismo Digital do século XXI e a nova Filosofia da Inteligência Artificial In 88 Vozes sobre Inteligência Artificial - O que fica para o homem e o que fica para a máquina? (pp. 563 – 572). Oficina do Livro/ISCTE Executive Education.
Gunkel, D. J. (2012). Introduction to the Machine Question In The Machine Question - Critical Perspectives on AI, Robots, and Ethics (pp. 1-5). The MIT Press.
Innerarity, D. (2023). O sonho da máquina criativa. In Inteligência Artificial e Cultura – Do medo à descoberta (pp. 15 – 26). Colecção Ciência Aberta, Gradiva.
Jonas, H. (1985). Preface to the English version of the Imperative of Responsibility In The Imperative of Responsibility: In Search of an Ethics for the Technological Age. (pp. ix - xii). University of Chicago Press.
Nakazawa, H. (2019). Manifesto of Artificial Intelligence Art and Aesthetics In Artificial Intelligence Art and Aesthetics Exhibition - Archive Collection (p. 25). Artificial Intelligence Art and Aesthetics Research Group (AIAARG).
Patel, N. J. (2022, february 4). Reality or Fiction - Sexual Harassment in VR, The Proteus Effect and the phenomenology of Darth Vader — and other stories. Kabuni. https://medium.com/kabuni/fiction-vs-non-fiction-98aa0098f3b0
Pause Giant AI Experiments: An Open Letter. (22 March, 2023). Future of Life Institute. Obtido 26 de agosto de 2024, de https://futureoflife.org/open-letter/pause-giant-ai-experiments/

Chapter 1 - Introduction
Chapter 2 – Sales Force Management
Tasks and time
Planning and dimension
Organization
Management
Control
Chapter 3 - Business and Sales Management
Business sales forecast
The sales plan
Business commercial performance
Chapter 4 - Sales Analytics
balanced scorecard
Commercial Balanced Scorecard
Performance indicators
Dynamic Dashboards
Chapter 5 – Digital Sales
Evolution of the Type of Sale
Concepts about Digital Sales
Funnel and Sales Process
Social Media Marketing
Social Media for Sales
Chapter 6 – Digital Sales & Trade Marketing
New challenges in the digital world
Main tools
The new approach
Chapter 7 – Social Selling
Description
Main statistical data
Social Selling Strategy

Regular Season: continuous assessment, min. attendance 80% and participation in all assessment instruments. a) attendance, punctuality and individual participation: 20%; b) individual and group works: 40%; c) individual test: 40%. Students opting for an individual exam only, weigthting 100%, with a min. 10 points.
Resitting: for students who fail in the normal season or want to improve their grade, exam with a weighting of 100%, min. score 10 points. There is no oral exam to improve the grade.

Mandatory

Daly, D. (2017). Digital Sales Transformation in a Customer First World. Oak Tree Press.
Jordan, J., & Vazzana, M. (2012). Cracking the sales management code: The secrets to measuring and managing sales performance. McGraw-Hill.

Optional

Roberge, M. (2015). The Sales Acceleration Formula: Using Data, Technology, and Inbound Selling to go from $0 to $100 Million. John Wiley & Sons.
Lytle, C. (2011). The Accidental Sales Manager: How to Take Control and Lead Your Sales Team to Record Profits. John Wiley & Sons.

1. The role and importance of financial management
1.1.Functional perspective of the origin and applications of funds
1.2.Ensure profitability and financial solvency
2.Management of financial assets and liabilities
3.Liquidity management
4. Cash Flow planning and project analysis
5. Optimization in resources management
6. Information Technologies for financial management and reporting

Assessment throughout the semester: attendance min. 80% and participation in all assessment instruments. a) attendance, punctuality and individual participation: 10%; b) individual and group practical cases: 40%; c) written test: 50%.
Students who only opt for an individual exam, 100% weighting, min grade 10.
Second Period: for students who fail in the first period or want to improve their grade, exam with 100% weighting, min grade 10.
There is no recourse to an oral test to improve the grade, but there may be an oral test to defend a grade above 16.

Mandatory

Rodrigues, J.A., Simões, A. (2012), Analisar a Performance Financeira: uma perspetiva multidimensional, Coleção Global Áreas Editora, 2.ª edição.
Neves, J.C. (2021), Análise e Relato Financeiro - Uma visão integrada de gestão, Texto Editores.
Brealey, Myers, Allen (2020), Principles of Corporate Finance, McGraw-Hill, 13th edition.

Optional

Cortes, P.L. (2017), Administração de Sistemas de Informação, Editora Saraiva.
Rodrigues, J.A., Nicolau, I. (2010), Elementos de Cálculo Financeiro, Áreas Editora, 9.ª edição.
Mota, A., Nunes, J., Oliveira, L., Inácio, P., Ferreira, M., Barroso, C. (2020), Finanças da Empresa - Teoria e Prática, Edições Sílabo, 6.ª edição.
Higgins, R., Koski, J., Mitton, T. (2018), Analysis for Financial Management, McGraw-Hill Education, 12th edition.
Ross, S., Westerfield, R., Jordan, B. (2021), Fundamentals of Corporate Finance, McGraw-Hill Higher Education (International), 13th edition.

1. The integrated report
2. ESG report (environmental, social, and governance)
3. Integration of financial and non-financial information
4. Performance monitoring
5. The accountability process
6. Digital technologies to support the integrated report and performance monitoring

Two assessment modalities:
1st. Assessment throughout the semester:
- Individual activities and/or in-class projects: 20%
- Group projects, outside of class, with possible oral discussion and presentation: 40%.
- Individual written exam: 40%
Requirements:
- Completion of activities and/or projects in class and group projects, outside of class.
- Minimum grade for individual activities and/or in-class projects: 8.0 points
- Minimum grade for group projects, outside of class: 8.0 points
- Minimum grade on the individual written exam: 8.0 points
- Weighted final average grade: 9.5 points
- Minimum attendance of 2/3 of classes.
2nd. Assessment by exam:
- Individual written exam: 100%.
- Minimum grade: 9.5 points
Grade Defense:
Possible oral or written defense of grade for a grade higher than 16, in either method.

Mandatory

- De Villiers, C., Hsiao, P. C. K., & Maroun, W. (Eds.). (2020). The Routledge Handbook of Integrated Reporting. Routledge.
- Hannem, S. (2017). Integrated reporting ? useful to investors? Peter Lang Gmbh
- IIRC (2021). International Integrated Reporting Council, International Framework. Retirado de https://www.integratedreporting.org/wp-content/uploads/2021/01/InternationalIntegratedReportingFramework.pdf em 05 de Outubro 2021

Optional

- Soyka, P. (2013). The International Integrated Reporting Council (IIRC) Integrated Reporting Framework: Toward Better Sustainability Reporting and (Way) Beyond. Environmental Quality Management, 23(2), 1-14.
- Stein Smith, S. (2014). Integrated Reporting, Corporate Governance, and the Future of the Accounting Function. International Journal of Business and Social Science, 5(10).
- Young, M. and Oh, P. (2014). Integrated Reporting: Holistic Approach Benefits Organisations and Stakeholders. IS Chartered Accountant, 38-40.
- Canadian Institute of Chartered Accountants (2010). Integrated Reporting: Impact of Small Issuer Challenges on Framework Development and Implementation Strategies.

CP1 - Introduction to AI and Generative AI:
* Theoretical exposition on the historical context, evolution and important concepts about Artificial Intelligence (AI) and Generative AI
CP2 - Prompt Engineering:
* Explanation of good practices for interacting with generative language models
CP3 - Generative AI Tools:
* Exploration of multiple Generative AI tools, based on text, images and videos
CP4 - Formation of argumentative content:
* Development of creative solutions using argumentation practices and Generative AI tools
CP5 - Rules for scientific writing:
* Application of citation and referencing standards (APA standards) in academic writing

The Semester-Long Assessment includes the following activities:
1. Individual Activities (50%)
1.1 Prompt Simulations with AI Tools in an Academic Context (20%):
* Description: The student must create a clear/justified, well-structured prompt, according to the script proposed by the instructor in class.
* Assessment: (submit in Moodle), communication and teamwork skills based on the quality of the prompt simulations performed.
1.2 Oral Defense - Group Presentation - 5 min. Discussion - 5 min. (30%):
* Description: Each student must present their contributions to the work completed to the class.
* Assessment: After the student's presentation, there will be a question-and-answer session.
2. Group Activities (50%) [students are organized into groups of up to 5 students, randomly selected], which include:
* Group presentations, reviews, edits, and validations of AI-generated content. The assessment (to be submitted in Moodle) includes gathering relevant information, assessing the clarity and innovative nature of the use of structured prompts.
* Development of strategies for reviewing, editing, and validating AI-generated content. Students will be asked to critically evaluate and reflect on the ethical challenges of integrating AI into an academic environment. The assessment (to be submitted in Moodle) will consist of correcting the work based on the accuracy and quality of the reviews and edits, as well as student participation in providing feedback to their peers.
* Final Project Presentation Simulations, where groups choose a topic and create a fictitious project following the structure of a technical report or scientific text. They present their project in class (5 min.) and discuss the topic (5 min.). The assessment (to be submitted in Moodle) will consider the organization, content, correct use of the structure, and procedures of the academic work.

General Considerations:
Feedback on student performance in each activity will be provided during the Semester Assessment.
To be assessed throughout the semester, students must attend 80% of classes and achieve a score of at least 7 points in each assessment.
If there are questions about participation in the activities, the instructor may request an oral discussion.
The group must ensure that at least one computer is available for each group to allow for classroom activities.
There will be no final exam assessment; passing will be determined by the weighted average of the assessments throughout the semester. Assessments in the second and special assessment periods will have an alternative assessment method, so any students wishing to take the assessment in these assessment periods should contact their instructor in advance to learn about the assessment procedure.

Mandatory

Ribeiro, A. & Rosa, A. (2024). Descobrindo o potencial do CHATGPT em sala de aula: guia para professores e alunos. Atlantic Books.
Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in education and teaching international, 61(2), 228-239.
d’Alte, P., & d’Alte, L. (2023). Para uma avaliação do ChatGPT como ferramenta auxiliar de escrita de textos acadêmicos. Revista Bibliomar, São Luís, 22(1), 122-138. DOI: 10.18764/2526-6160v22n1.2023.6.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274.

Optional

Cowen, T., & Tabarrok, A. T. (2023). How to learn and teach economics with large language models, including GPT. GMU Working Paper in Economics No. 23-18. DOI: 10.2139/ssrn.4391863
Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing.

"S1. Integrated view of financial accounting and management accounting.
S2. Structure and content of accounting statements (Balance Sheet, Income Statement, Cash Flows).
S3. Recording of fundamental accounting operations and accounting cycle.
S4. Effect of major business decisions on financial statements.
S5. Management accounting: cost analysis, profit margins and decision making."

Assessment throughout the semester requires minimum attendance at 80% of classes. Students will be assessed through:
Practical work or case study (individual or group) – 50%
Individual test – 50%. Minimum grade of 8.5 points.
To pass, the average of those assessment instruments must be equal to or greater than 9.5 points.

Alternatively, the final exam will account for 100% of the final grade. Minimum grade of 9.5 points.

Mandatory

"Bhimani, A., Rajan, M., Horngren, C., & Datar, S. (2023). Management and cost accounting (7th ed.). Pearson Education Limited. Lourenço et al. (2020). Fundamentos de Contabilidade Financeira: Teoria e Casos. 3ª edição. Edições Sílabo."

Optional

Normas do SNC (disponíveis online para consulta).

P1. Real Variable Functions:
1.1. Polynomial, rational, trigonometric, and exponential functions
1.2. Logarithmic and inverse trigonometric functions
1.3. Inverse and composite functions
1.4. Limits and indeterminate forms
1.5. Continuity

P2. Differential Calculus:
2.1. Rates of change
2.2. Derivative at a point and tangent line
2.3. Differentiation rules
2.4. Chain rule
2.5. Intervals of monotonicity and concavity of the graph
2.6. Taylor approximations

P3. Integral Calculus:
3.1. Definite integral, fundamental theorem of calculus, and primitives
3.2. Integration techniques
3.3. Applications of integration
3.4. Improper integrals and convergence

P4. Sequences and Series:
4.1. Sequences: monotonicity and convergence
4.2. Numerical series: sums and convergence criteria

Passing requires a grade of no less than 10 out of 20 in one of the following modalities:
- Assessment throughout the semester: 1 midterm mini-test (10%) + 1 group project of 3-4 members (20%) + Autonomous work (10%) + 1 final test on the first exam date (60%). A minimum grade of 8 out of 20 is required in both the final test and the average of other assessment moments throughout the semester.
- Assessment by exam (100%): Individual written test in any exam period.
- An oral assessment may be conducted after any assessment moment to validate the final grade.

Mandatory

Stewart, James, Daniel K. Clegg, and Saleem Watson. Calculus. Cengage Learning, 2020.
Anton, Howard, Irl C. Bivens, and Stephen Davis. Calculus: early transcendentals. John Wiley & Sons, 2021.

Optional

Campos Ferreira, J., Campos Ferreira, J. (2018) Introdução à Análise Matemática, Fundação Calouste Gulbenkian, 2018, null
Stewart, J., Stewart, J. (2013) Cálculo, Vol I, Cengage Learning, (7ª Ed.), 2013, null
Strang, G., Strang, G. (2007) Computational Science and Engineering, Wellesley-Cambridge Press, 2007, null
Solomon, Justin, Solomon, Justin (2015) Numerical Algorithms, CRC Press., 2015, null
Goldstein, L., Goldstein, L. (2011) Matemática Aplicada à Economia. Administração e Contabilidade, (12a edição) Editora Bookman., 2011, null

S1. Management and Organizations
S2. Management Models
S3. Environment
S4. Planning
S5. Organizational Structures
S6. Leadership
S7. Motivation
S8. Control
S9. Entrepreneurship and Innovation
S10. Digital Tools
S11. Corporate Social Responsibility and Sustainability

Assessment throughout the semester: participation in all assessment instruments. a) individual participation in class: 10%; b) individual and group practical cases: 20%; c)Final Presentation of Group Work in class – 10%; d) Written Group Work Report - 20% e) Written Test at the end of the semester in 1st Term - 40%
The minimum score for validation of the assessment in each assessment instrument is 9,5 values.
Minimum attendance of no less than 2/3 of classes is required.

Assessment by Final Exam: The written Final Exam takes place at the end of the semester and there will be three seasons, 1st Season, 2nd Season and in some cases, Special Season.
The minimum grade to pass the Exam is 9,5 points, counting 100% towards the final grade.

Mandatory

Boddy, D. (2020), Management: Using practice and theory to develop skill, 8th ed., Pearson.
Teixeira, Sebastião, Gestão das Organizações, 2022, 4ª Edição, Escolar Editora.

Optional

Robbins, S., Coulter, M., De Cenzo, D,, Fundamentals of Management, 2020, 11th Global Edition, Pearson,
Robbins, S., Coulter, M., Management, 2020, 15th Global Edition, Pearson,

S1. Introduction to Design Thinking and Stage 1: Empathy (3h)
S2. Steps 2 and 3: Problem Definition and Ideation (3h)
S3. Step 4: Prototyping (3h)
S4. Step 5: Testing and application of Design Thinking in different areas (3h)

Semester-long Assessment Mode:

• Class participation (20%): Evaluates students' presence, involvement, and contribution in class discussions and activities.

• Individual work (40%): Students will develop an individual project applying Design Thinking to solve a specific problem. They will be evaluated on the application of the stages of Design Thinking, the quality of the proposed solutions, and creativity.

• Group work (40%): Students will form groups to develop a joint project, applying Design Thinking to solve a real challenge. Evaluation will be based on the application of the steps of Design Thinking, the quality of the solutions, and collaboration among group members.

To complete the course in the Semester-long Assessment mode, the student must attend at least 75% of the classes and must not score less than 7 marks in any of the assessment components. The strong focus on learning through practical and project activities means that this course does not include a final assessment mode.

Mandatory

Brown, T. (2008). Design Thinking. Harvard Business Review, 86(6), 84–92.
Lewrick, M., Link, P., & Leifer, L. (2018). The design thinking playbook: Mindful digital transformation of teams, products, services, businesses and ecosystems. John Wiley & Sons.
Lockwood, T. (2010). Design Thinking: Integrating Innovation, Customer Experience and Brand Value. Allworth Press.
Stewart S.C (2011) “Interpreting Design Thinking”. In: https://www.sciencedirect.com/journal/design-studies/vol/32/issue/6

Optional

Brown, T., & Katz, B. (2011). Change by design. Journal of product innovation management, 28(3), 381-383.
Brown, T., Katz, B. M. Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation. HarperBusiness, 2009.
Liedtka, J. (2018). Why Design Thinking Works. Harvard Business Review, 96(5), 72–79.
Gharajedaghi, J. (2011). Systems thinking: Managing chaos and complexity. A platform for designing business architecture. Google Book in: https://books.google.com/books?hl=en&lr=&id=b0g9AUVo2uUC&oi=fnd&pg=PP1&dq=design+thinking&ots=CEZe0uczco&sig=RrEdhJZuk3Tw8nyULGdi3I4MHlQ

PC1. PART A: Microeconomics - Neoclassical Market
- Introduction, principles and models
- Market: demand, supply, equilibrium and efficiency
- Elasticities
- Government interventions in markets

PC2. PART B: Consumer Theory
- Utility and Preferences
- Budget constraint and Utility maximization
- Behavioral economics

PC3. PART C: Producer Theory
- Production and Costs
- Production and Profits

PC4. PART D: Market Structures
- Perfect Competition and the Supply Curve
- Monopoly
- Monopolistic competition
- Oligopoly and Introduction to Game Theory

PC5. PART E: Market failures and Failure of markets
- Market failures and the reality
- Externalities, Public Goods and Common access resources
- Failure of markets

Student must choose one of the following assessment methods:

Assessment throughout the semester
- Weekly Quizzes (25%)
- Mid-term test (25%)
- Group works: presentation (15%) and discussion (10%)
- Final test (25%)
In order to get a positive grade in the course, the mark in each of the four assessments cannot be below 8 values.
A minimum attendance of no less than 3/4 of classes is required.

Final Exam (100%): Individual written test

Mandatory

(Reflexão Crítica) - Hill, R., & Myatt, T. (2021), The Microeconomics Anti-Textbook: A Critical Thinker's Guide, Bloomsbury Publishing.
(Resumido) - Greenlaw, S., Shapiro, D. e Taylor. T. et al. (2017) Principles of Microeconomics 2e from OpenStax
(Aulas) - Krugman, P. e R. Wells (2018), Microeconomics, 5ª edição, Worth Publishers.

Optional

Louçã, F. e Mortágua, F. (2021), Manual de Economia Política, Lisboa: Bertrand.
Frank, R. e E. Cartwright (2016), Microeconomics and Behavior, 2ª edição, McGraw-Hill.
Chang, Ha-Joon (2014), Economics: The User’s Guide, Pelican.

PC1. Preparing for a presentation.
PC2. Non-verbal communication techniques.
PC3. Voice and body communication, audience involvement. PC4. Presentation practice and feedback. The learning objectives will be achieved through practical and reflective activities, supported by the active and participatory teaching method which emphasizes experiential learning. Classes will consist of activities such as: Theatrical experiences and group discussions; Practical activities; Presentations and exhibitions of autonomous work; Individual reflection.

The assessment of the Public Presentations with Theatrical Techniques course aims to gauge the development of students' skills in essential aspects of public presentations. The assessment structure includes activities covering different aspects of the experiential learning process involving both theatrical techniques and specific communication techniques.
Assessment throughout the semester includes activities covering different aspects of the process of preparing a public presentation, including group and individual work activities:
Group activities (50%) [students are challenged to perform in groups of up to 5 elements, made up randomly according to each activity proposal].
1-Practical Presentations: Students will be assessed on the basis of their public presentations throughout the semester:
Description: each group receives a presentation proposal and must identify the elements of the activity and act in accordance with the objective.
The results of their work are presented in class to their colleagues (Time/group: presentation - 5 to 10 min.; reflection - 5 min.). Assessment (oral): based on active participation, organization of ideas and objectivity in communication, vocal and body expression, the use of theatrical techniques and performance. Presentations may be individual or group, depending on the proposed activities.
Individual activities (50%)
1-Exercises and Written Assignments (Autonomous Work):
Description: In addition to the practical presentations, students will be asked to carry out exercises and written tasks related to the content covered in each class. These activities include reflecting on techniques learned, creating a vision board, analyzing academic objectives, student self-assessment throughout the semester, answering theoretical questions and writing presentation scripts.
Assessment: (Oral component and written content), organization, content, correct use of the structure and procedures of the autonomous work proposed in each class, ability to answer questions posed by colleagues and the teacher. Communication skills and the quality of written work will be assessed, with a focus on clarity of presentation. These activities will help to gauge conceptual understanding of the content taught.
There will be no assessment by final exam, and approval will be determined by the weighted average of the assessments throughout the semester.
General considerations: in the assessment, students will be given feedback on their performance in each activity.
To complete the course in this mode, the student must attend 80% of the classes. The student must have more than 7 (seven) points in each of the assessments to be able to remain in evaluation in the course of the semester.

Mandatory

Prieto, G. (2014). Falar em Público - Arte e Técnica da Oratória. Escolar Editora.

Optional

Anderson, C. (2016). TED Talks: o guia oficial do TED para falar em público. Editora Intrinseca.
Luiz, P. (2019). Manual de Exercícios Criativos e Teatrais. Showtime. Rodrigues, A. (2022). A Natureza da Atividade Comunicativa. LisbonPress.

1. The papers of HRM: personnel?s administrator to strategic partner
2. To manage people in different strategic moments and in the technological age
3. The Human Resources Management practices
4. Integrated systems and the ERP (Enterprise Resource Planning) concept and functionalities
5. Process Automation: Create RPA (Robot Process Automation) for HR process and Chabot?s implementation
6. HR Analytics
7. Practical exercise.

Regular Season: periodic assessment, min. attendance 75% and participation in all assessment instruments. a) workgroup with resolution and discussion of case study: 40%; b) individual test: 60%. Students opting for an individual exam only, weigthting 100%, with a min. 10 points.
Resitting: for students who fail in the normal season or want to improve their grade, exam with a weighting of 100%, min. score 10 points. There is no oral exam to improve the grade.

Mandatory

Ustundag, A., & Cevikcan, E. (2017). Industry 4.0: Managing The Digital Transformation. Birmingham: Springer.
Ferreira, A., Martinez, L. Nunes, F. e Duarte, H. (2015). GRH para Gestores. Lisboa: Editora RH.
Duarte, A., Nascimento, G. e Almeida, F. (2019). Gestão de Pessoas 4.0 - Entre a continuidade e a reinvenção, in Machado, C. e Davim, J.P. (Eds) Organização e Políticas Empresariais. Lisboa: Conjuntura Actual Editora

Optional

Sen, S. (2020). Digital HR Strategy: Achieving Sustainable Transformation in the Digital Age. New York: Kogan Page.
Laudon, Kenneth & Laudon, Jane (2007). Management Information Systems, 10th Edition, Prentice Hall.
Larson, W. (2021). HR Transformation: Lead Your Business Into HR 3.0 and Beyond. New York: WadeLarson.
Hussain, Z., Wallace, J., & Cornelius, N. E. (2007). The use and impact of human resource information systems on human resource management professionals. Information & Management, 44, 74-89.
Cantoni, F. & Mangia, M. (2020). Human Resource Management and Digitalization. Routledge: Oxfordshire.
Cameron, E. & Green, M. (2012). Making sense of change management - A complete guide to the models, tools and techniques of organizational change. Kogan Page.
Buller, P. F. and McEvoy. G. (2012). Strategy, human resource management and performance: Sharpening the line of sight. Human Resource Management Review, 22, 43-56

PC1. Integrated development environments. Introduction to programming: Logical sequence and instructions, Data input and output.
PC2. Constants, variables and data types. Logical, arithmetic and relational operations.
PC3. Control structures.
PC4. Lists and Lists of Lists
PC5. Procedures and functions. References and parameters.
PC6. Objects and object classes.
PC7. File Manipulation.

This course follows a semester-long project-based assessment model due to its predominantly practical nature, and does not include a final exam.

Students are assessed based on the following components (A1 + A2):
A1: Learning Tasks with teacher validation (30%)
Five learning tasks will be completed throughout the semester.
The A1 grade corresponds to the average of the grades for the five tasks. To pass A1, the student must meet one of the following requirements:
- obtain at least 7 points in each of the five tasks
or
- obtain a minimum average of 8 points across the five tasks.

A2: Mandatory Group Project (3) with theoretical-practical discussion (70%)
Minimum grade of 9.5 points.
Late submissions will result in penalties.

Remediation:
If a student misses an exam due to absence they may take a make-up exam at the end of the semester.

Attendance:
A minimum attendance of 2/3 of classes is required.

Mandatory

Portela, Filipe, Tiago Pereira, Introdução à Algoritmia e Programção com Python, FCA, 2023, ISBN: 9789727229314

Sónia Rolland Sobral, Introdução à Programação Usando Python, 2a ed., Edições Sílabo, 2024, ISBN: 9789895613878

Nilo Ney Coutinho Menezes, Introdução à Programação com Python: Algoritmos e Lógica de Programação Para Iniciantes. Novatec Editora, 2019. ISBN: 978-8575227183

John Zelle, Python Programming: An Introduction to Computer Science, Franklin, Beedle & Associates Inc, 2016, ISBN-13 : ‎978-1590282755

Ernesto Costa, Programação em Python: Fundamentos e Resolução de Problemas, 2015, ISBN 978-972-722-816-4,

Optional

João P. Martins, Programação em Python: Introdução à programação com múltiplos paradigmas, IST Press, 2015, ISBN: 9789898481474

David Beazley, Brian Jones, Python Cookbook: Recipes for Mastering Python 3, O'Reilly Media, 2013, ISBN-13 ? : ? 978-1449340377

Kenneth Reitz, Tanya Schlusser, The Hitchhiker's Guide to Python: Best Practices for Development, 1st Edition, 2016, ISBN-13: 978-1491933176, https://docs.python-guide.org/

Eric Matthes, Python Crash Course, 2Nd Edition: A Hands-On, Project-Based Introduction To Programming, No Starch Press,US, 2019, ISBN-13 ‏: ‎978-1593279288

C1. Fundamentals of Project Management: concepts, characteristics, operations vs. projects
C2. Project Life Cycles and Methodologies (Waterfall, Agile, Hybrid)
C3. Planning and Control Dimensions: scope, time, cost, resources, risk, quality, communication
C4. PM² Methodology: structure, artefacts, stakeholders
C5. Applied Project: planning, execution, monitoring, closure, and benefits evaluation

Assessment is continuous and based on a combination of group and individual evaluation components.
A minimum attendance of two-thirds of the classes is required.
Assessment Components:
1. Project Management Dossier (50%) – Group Assessment
A structured document covering all phases of the project life cycle, based on the PM² methodology, including:
o Project Initiation
o Planning
o Execution and Control
o Closure
2. Final Project Presentation (20%) – Group Assessment
3. Individual Oral Discussion (20%) – Individual Assessment
4. Individual Written Reflection (10%) – Individual Assessment

Mandatory Requirements:
• Minimum grade of 9.5/20 in all assessment components
• Submission of all group project deliverables
This course unit does not include a final exam.

Mandatory

Lester A. / 7th edition, Elsevier Science & Technology., Project Management Planning and Control, 2017, ·, ·
Tugrul U. Daim, Melinda Pizarro, e outros / Spinger, Planning and Roadmapping Technological Innovations: Cases and Tools (Innovation, Technology, and Knowledge Management), 2014, ·, ·

Optional

Syllabus contents (SC):
SC1 - Descriptive statistics: Types of variables. Frequency tables and graphical representations. Central tendency measures. Measures of spread and shape.
SC2 - Concepts of probability theory: definitions, axioms, conditional probability, total probability theorem and Bayes's formula
SC3 - Univariate and bivariate random variables: probability and density functions, distribution function, mean, variance, standard deviation, covariance and correlation.
SC4 - Discrete and Continuous distributions: Uniform discrete and continuous, Bernoulli, binomial, binomial negative, Poisson, Gaussian, Exponential Chi-Square and t distribution.
SC 5 - Sampling: basic concepts. Most used sample distributions
SC6 - Point estimation and confidence intervals
SC7 - Hypothesis testing: types of errors, significance level and p-value

Approval with a mark of not less than 10 in one of the following methods:
- Assessment throughout the semester: 1 mini-test taken during the lessons (15%) + Final written test taken on the date of the 1st period (60%) + autonomous work (5%) + group project (20%),
All assessment components, except for the autonomous work, are mandatory and require a minimum grade of 8 out of 20.
or
- Assessment by Exam (100%).

Notes:
1) A complementary oral assessment may be conducted after any evaluation moment to validate the final grade.
2) For this Course Unit, students must consult the Iscte Academic Code of Conduct, available on the institutional platforms, to ensure compliance with the established ethical and behavioral standards.

Mandatory

E. Reis, P. Melo, R. Andrade & T. Calapez (2015). Estatística Aplicada (Vol. 1) - 6ª ed, Lisboa: Sílabo. ISBN: 978-989-561-186-7.
Reis, E., P. Melo, R. Andrade & T. Calapez (2016). Estatística Aplicada (Vol. 2), 5ª ed., Lisboa: Sílabo. ISBN: 978-972-618-986-2.
Afonso, A. & Nunes, C. (2019). Probabilidades e Estatística. Aplicações e Soluções em SPSS. Versão revista e aumentada. Universidade de Évora. ISBN: 978-972-778-123-2.
Ferreira, P.M. (2012). Estatística e Probabilidade (Licenciatura em Matemática), Instituto Federal de Educação, Ciência e Tecnologia do Ceará – IFCE III, Universidade Aberta do Brasil – UAB.IV. ISBN: 978-85-63953-99-5.
Farias, A. (2010). Probabilidade e Estatística. (V. único). Fundação CECIERJ. ISBN: 978-85-7648-500-1.

Optional

Haslwanter, T. (2016). An Introduction to Statistics with Python: With Applications in the Life Sciences. Springer. ISBN: 978-3-319-28316-6.

PC1. Is work different today than it was in the past?
PC2. What rights and duties in the world of work?
PC3. How has theory looked at technology?
PC4. What digital technologies are changing work?
PC5. What future for work?
PC6. Is artificial intelligence really that intelligent?
PC7. Where does precariousness begin and end?
PC8. Who is to blame when the machine makes a mistake?
PC9. Do digital technologies change the relationship between unions and companies?
PC10. What digital transformation in Portugal?

Continuous assessment throughout the semester:
Each student will conduct a Flipped Classroom session, which represents 20% of the final grade.

Individual work accounts for 35% of the final grade.

Completion of a group assignment, worth a total of 35% of the final mark (15% for the written work and 20% for the group discussion).

Attendance and participation in classes represent 10% of the final grade. A minimum attendance of no less than 2/3 of the classes is required.

Each assessment element must have a minimum grade of 8. The final average of the various elements must be equal to or greater than 9.5.

Examination evaluation (1st Period if chosen by the student, 2nd Period, and Special Period): in-person exam representing 100% of the final grade with a minimum grade of 9.5.

Mandatory

Autor, David H., "Why Are There Still So Many Jobs? The History and Future of Workplace Automation.", 2015, Journal of Economic Perspectives, 29 (3): 3-30.
Benanav, A, Automation and the Future of Work, 2020, London: Verso
Boreham, P; Thompson, P; Parker, R; Hall, R, New Technology at Work, 2008, Londres: Routledge.
Crawford, C, The Atlas of AI. Power, Politics, and the Planetary Costs of Artificial Intelligence, 2021, Yale University Press.
Edgell, S., Gottfried, H., & Granter, E. (Eds.). (2015). The Sage Handbook of the sociology of work and employment.
Grunwald, A. (2018). Technology Assessment in Practice and Theory. London: Routledge.
Huws, U. (2019) Labour in Contemporary Capitalism, London, Palgrave.
OIT (2020), As plataformas digitais e o futuro do trabalho
Agrawal A, Gans J, Goldfarb A (2018), Prediction Machines, Boston, Massachusetts, Harvard Business Review Press.
Autor D (2022), The labour market impacts of technological change, Working Paper 30074, NBER Working Paper Series.

Optional

✔ Autor D (2022), The labour market impacts of technological change, Working Paper 30074, NBER Working Paper Series.
✔ Braun J, Archer M, Reichberg G, Sorondo M (2021), Robotics, AI and Humanity, Springer.
✔ Cedefop (2022). Setting Europe on course for a human digital transition: new evidence from Cedefop’s second European skills and jobs survey, Publications Office of the European Union.
✔ Eurofound (2020), New forms of employment: 2020 update, Publications Office of the European Union.
✔ ILO (2018), The economics of artificial intelligence: Implications for the future of work, International Labour Office.
✔ ILO (2019), Work for a Brighter Future – Global Commission on the Future of Work. International Labour Office.
✔ Nowotny H (2021), “In AI we trust: how the Covid-19 Pandemic Pushes us Deeper into Digitalization”, Delanty G (ed.) (2021), Pandemics, Politics and Society, De Gruyter, 107-121.
✔ OECD (2019b), How’s Life in the Digital Age?, OECD Publishing.
✔ Wilkinson A, and Barry M (eds) (2021), The Future of Work and Employment, Edward Elgar.
✔ Zuboff S (2019), The Age of Surveillance Capitalism, PublicAffairs.