José Barros

By the end of this course unit, the student should be able to:
LO1: Understand and analyze real-variable functions, including polynomial, rational, trigonometric, and exponential functions.
LO2: Grasp and apply concepts of limits and continuity to solve problems involving indeterminate forms and asymptotic behavior.
LO3: Calculate and interpret derivatives and differentials, applying differentiation rules to solve problems involving rates of change.
LO4: Understand and apply definite and indefinite integrals, using integration techniques and exploring their applications.
LO5: Analyze sequences and series, understanding convergence criteria and applying them in mathematical contexts.

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.

Sílvia Cavalinhos

By the end of the curricular unit, the student will be able to:
LO1. Know and understand the role of organizations and managers in the society
LO2. Understand the management models and their effects on people’s work and organizational performance
LO3. Explain and analyze the effects of the environment on organizations
LO4. Evaluate the management performance as a function of the management role
LO5. Understand and evaluate the role of management in the context of innovation, digital tools, social responsibility and sustainability

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 8 values.
To pass the UC, a minimum weighted average of 10 points is required. 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 10 points, counting 100% towards the final grade.

Carolina Carreira

Mariana Catela Jacob Rodrigues

By the end of this course unit, the student should be able to:
LO1: Apply fundamental programming concepts.
LO2: Create procedures and functions with parameters.
LO3: Understanding the syntax of the Python programming language.
LO4: Develop programming solutions for problems of intermediate complexity.
LO5: Explain, execute and debug code fragments developed in Python.
LO6: Interpret the results obtained from executing code developed in Python.
LO7: Develop programming projects.

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.
PC8: Graphical Interface.

The course follows a project-based continuous assessment model throughout the semester due to its highly practical nature, and does not include a final exam.

The student is evaluated according to the following parameters:
A1 (30% of the final grade): Learning Tasks validated by teachers, with a minimum grade of 8 points on the average of the tasks. There are 10 learning tasks and the 8 best grades count.

A2 (70% of the final grade): Mandatory Group Project (maximum 3 members) with theoretical-practical discussion (Delivery: 30%, Practical-oral: 40% with a minimum grade of 8). Component A2 has a minimum score of 9.5 points.

Students who do not achieve the minimum grade will have the opportunity to complete a 100% Practical Project with an oral discussion.

Minimum attendance of no less than 2/3 of classes is required.

Patricia Dinis da Costa

LG1 - Know and use the main concepts of descriptive statistics, choose appropriate measures and graphical representations to describe data
LG2 - Apply basic concepts of probability theory, namely compute conditional probabilities, and check for independence of events
LG3 - Work with discrete and continuous random variables.
LG4 - Work and understand the uniform, Bernoulli, binomial, Poisson, Gaussian distribution, as well as Chi-Square and t distribution
LG5 - Perform point parameter estimation and distinguish parameters from estimators
LG6 - Build and interpret confidence intervals for parameter estimates
LG7 - Understand the fundamentals of hypothesis testing
LG8 - Get familiar with some software (such Python or R)

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 elements are compulsory and have a minimum mark of 8.
A minimum attendance of no less than 2/3 of classes is required
or
- Assessment by Exam (100%).

Daniela Filipa Ramos Costa

With this UC attendance, students should be able to:
1. To relate the HR function with the organization business and, as well, with the social, political and economic environment within the organization operates.
2. To characterize the Human Resources Management practices;
3. To contextualize the digital transformation process in the human resources area as an enhancer for your strategic position;
4. To integrate the implementation of RPA (Robot Process Automation) and Chatbots in human resources area, and the HR Analytics.

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.

Leonor Domingos

The objective of the UC is to develop a technological project in line with the scope of the Course. Contact will be established with project planning considering the main phases: Requirements analysis, development, partial tests and final tests and changes. Contact with laboratory equipment and tools is one of the goals for designing a software, hardware or both project.

I. Introduction to technological innovation along the lines of Europe
II. Planning a technological project and its phases
III. Essential aspects for the development of a project
IV. Definition of material resources
V. Budget of a project
VI. Partial and joint Test Plan
VII. Presentation of a technological project
VIII. Technological project demonstration
IX. Preparation of Technical Report

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

João Vasco de Oliveira Fernandes Lopes

LO1: Understand the main theories, concepts, and issues related to Work, Organizations, and Technology;
LO2: Understand the main processes of the digital transition directly related to the world of work and its organizations;
LO3: Analyze the multiple social, economic, and political implications brought by the digital transition;
LO4: Explore cases, strategies, and application methods to understand the real impacts of the digital transition on professions, companies, and organizations.

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 accounting for 35% of the final grade.

Group work accounting for a total of 35% of the final grade (10% for the group presentation and 25% for the written work).

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.

Vitória Albuquerque

After successfully completing the curricular unit, students should be able to:
OA1. Know and become familiar with different data formats.
OA2. Understand a complete data analysis cycle.
OA3. Know how to perform exploratory data analysis using R.
OA4. Know how to model a set of data.
OA5. Implement a data analysis solution to study a specific problem.

CP1. Introduction to Data Analysis
CP2. Introduction to R and RStudio
CP3. Knowledge of problems in data analysis, application examples
CP4. The complete cycle of data analysis
CP5. Data and data formats
CP6. Data preparation
CP7. Odds; descriptive statistics of data and exploratory data analysis
CP8. Data visualization
CP9. Modeling and machine learning of data models
CP10. Model evaluation methods
CP11. Reporting and publishing results

The assessment in the 'over the semester' format is based on two individual tests: a mid-term test and another at the end of the semester (20% each), and a group project (maximum of 3 students) with the preparation of two reports (20% each) and an oral presentation (20%) to be carried out by the group and this is graded individually.

A minimum attendance of at least 2/3 of the classes is required (students may miss 4 classes out of 12).

The Final Exam is a written, individual, closed-book exam covering all the material. Those who have not successfully completed the assessment throughout the semester, with an average grade higher than or equal to 10 (out of 20), take the final exam in period 1, 2 or special.

José Miguel Morais de Azevedo Rodrigues

With this UC attendance, students should be able to:
1. Know the general base of an information system for management and the technology fundamental to its support;
2. Participate actively in the design and design of the management model of the entities and practical application of the concepts and technology taught. In particular, they should be able to select the financial and non-financial information to be used in a given entity and the management performance perspectives;
3. Participate in the implementation in ERP of accounts of multidimensional nature, which allow them to comply with the legal and normative obligations of accountability and prepare analytical reports both for management;
4. Develop in ERP / CRM the Entities with which each entity relates and organize them in various categories of relationships (shareholder, bank, customer, supplier, service provider, etc.), without losing the global information and integrated by each.

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.

LO1. Develop specific oral communication skills for public presentations.
LO2. Know and identify strategies for effective use of the vocal apparatus.
LO3. Identify and improve body expression. LO4. Learn performance techniques.
The learning objectives will be achieved through practical and reflective activities, supported by an active and participatory teaching method that emphasizes experiential learning. The knowledge acquired involves both theatrical theory and specific oral communication techniques. Students will learn about the fundamentals of vocal expression, character interpretation and improvisation, adapting this knowledge to the context of public performances.

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.

LO1. Acquiring knowledge about the fundamentals and stages of the Design Thinking process
LO2. Develop skills such as critical thinking, collaboration, empathy and creativity.
LO3. To apply Design Thinking in problem solving in several areas, promoting innovation and continuous improvement.

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.

LO1. Know the structure, language and ethical and normative (APA) procedures for writing academic texts.
LO2. Learn how to use generative models to write academic texts.
LO3. Discuss procedures for the analysis, relevance and reliability of data generated by AI.
LO4. Recognize the ethical implications of using generative AI in an academic context. The learning objectives will be achieved through practical and reflective activities such as:
- Group discussions;
- Analysis of texts;
- Oral defense;
- Practical exercises.

CP1. Introduction: academic writing and generative models:
- Understanding how Generative Artificial Intelligence works: the path towards using generative AI in the academic environment.
CP2. Procedures for planning and constructing argumentative texts with the help of AI:
- Identifying the possibilities and hallucinations in the answers produced by Generative AI.
CP3. Critical analysis of texts produced: identifying and referencing data sources and analyzing their relevance to the objectives of academic work:
- Exploring the possibilities of data validation and the potential use of Generative AI tools in the production of academic papers.
CP4. Opportunities and risks of using AI: good practice guide for accessing, sharing and using Generative AI in an academic context:
- Understand the dynamics in responsible and ethically committed use when carrying out academic work with Generative AI tools.

The assessment of the course aims to gauge the development of students' skills in the informed use of generative models as an aid to the production of academic work. Assessment throughout the semester includes the following activities:
1.Individual activities (50%)
1.1 Participation in activities throughout the semester (10%).
Description: this component aims to assess each student's specific contribution to the activities carried out.
Assessment: Interventions in the classroom; relevance of the student's specific contributions to the debates.
1.2 Simulations of prompts 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 teacher in class.
Assessment: (submit on moodle), communication skills and teamwork based on the quality of the prompt simulations carried out.
1.3 Oral Defense - group presentation - 5 minutes; debate - 5 minutes (20%).
Description: Each student must present their contributions to the work carried out to the class.
Evaluation: after the student's presentation, there will be a question and answer session.2. group activities (50%)
[students are organized in groups of up to 5 elements, constituted randomly]
2.1 Group presentations, revisions, editing and validation of content produced by AI (20%):
Description: Formation of working groups to review and edit the texts, using the generative models.
Evaluation: (submit to moodle), collection of relevant information, clarity and the innovative nature of the use of properly structured promts.
2.2 Development of strategies for reviewing, editing and validating content produced by AI (10%).
Description: At the end of each stage of the activity, students will have to promote critical evaluations by reflecting on the ethical challenges of integrating AI into an academic environment.
Evaluation: (submit on moodle), work will be corrected and evaluated based on accuracy and compliance with the quality of revisions, edits and the participation of students in the feedback provided to colleagues.
2.3 Final Project Presentation Simulations (20%):
Description: the groups choose a topic and create a fictitious project following the structure of a technical report or scientific text, making a presentation of their project in class (5 minutes) and debating the topic (5 minutes).
Evaluation: (submit on moodle): organization, content, correct use of the structure and procedures of academic work.
General considerations: feedback will be given during the semester. 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.

Renato Ferreira

At the end of the learning unit, the student must be able to: LG.1. Understand entrepreneurship; LG.2. Create new innovative ideas, using ideation techniques and design thinking; LG.3. Create value propositions, business models, and business plans; LG.5. Develop, test and demonstrate technology-based products, processes and services; LG.6. Analyse business scalability; LG.7. Prepare internationalization and commercialization plans; LG.8. Search and analyse funding sources

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%.

Ruben Bahamonde Delgado

With this UC attendance, students should be able to:
1. Systematize the legal and fiscal framework of the entity and apply in practice the concepts;
2. Develop a technological database with legal and tax information about the entity and its subsequent maintenance.
3. Design the organization of the digital archive and design the circuits of the document management of the entity and implement these models in appropriate technology.

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.

Vítor Santos

With this UC attendance, students should be able to:
LG1. Improve considerably their scope of knowledge in marketing as well as creating a new conceptual portfolio that will set them apart from their peers.
LG2. Acquire a clear competitive edge in terms of the required advancement and competitiveness in the corporate world;
LG3. Explore the development of global, segmented and integrated business plans useful for setting market objectives and monitoring them in the future;
LG4. Acquire knowledge about the processes and methodologies of commercial information integration in management information system of the entity, in order to monitor the value created from the market perspective and answer to external reporting.

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.

Paulo Jorge Dias

With this UC attendance, students should be able to:
1. To know and use the main concepts of tax.
2. To apply and determine the corporate income tax (IRC) and fill its declaration and other tax reports, using technological tools
3. To classify the trade operations of the value-added tax (VAT) and its impact in management information systems.
4. To understand the principal rules of determination and deduction of VAT and develop technological requirements to its implementation and control.

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.

Pedro Sousa Romano

At the end of this UC, the student should be able to:
LG.1. Present the image of the product/service in a website
OA.2. Present the image of the product/service in social networks
OA.3. Describe functionalities of the product/service
OA.4. Describe phases of the development plan
OA.5. Develop a prototype
OA.6. Test the prototype in laboratory
OA.7. Correct the product/service according to tests
OA.8. Optimize the product/service considering economic, social, and environmental aspects
OA.9. Adjust the business plan after development and tests, including commercialization and image
OA.10. Define product/service management and maintenance plan

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.

André Pinho

By attending the course, students should be able to:
LO1. Understand the process of analysis, formulation, and implementation of business strategy.
LO2. Effectively apply the main tools and frameworks related to this process.
LO3. Critically analyze the selection of strategic alternatives.
LO4. Apply best practices in planning, budgeting, implementing, and controlling the chosen strategies.
LO5. Develop critical thinking regarding strategic issues, focusing on digital technological environments.
LO6. Apply strategic practices and tools to case studies, simulated competitive environments, and the analysis of real companies.

PC1. Fundamentals of Strategy
PC2. Strategy Formulation - Vision, Mission, and Values
PC3. Analysis of the Immediate and Broader External Environment
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
PC8 . Current Themes in Strategy - Digital Technological Environments, Ethics, CSR (Corporate Social Responsibility), Sustainability

Assessment throughout the semester: minimum attendance of 80% and participation in all assessment instruments.
a) Individual quizzes in sessions: 15%
b) Group report: application of concepts to the analysis of a real company: 25%
c) Group report: critical analysis of business simulation results: 25%
d) Written test: 35%
Assessment by Exam: students opting only for the exam period: weighting 100%, minimum grade 10.
2nd period: for students who fail in the 1st period or seek grade improvement, written test with weighting of 100%, minimum grade 10. No oral exam for grade improvement.

Helena Luísa Soares

By attending the course, students should be able to:
LG1 - calculate the interest (and the respective interest rate), the present value and the future value involved in a financial transaction for a given term, according to various day count convention
LG2 - convert an annual rate into a periodic interest rate, in stated and effective cases
LG3 - determine financial flows, from investment and funding operations (credit sales, leasing, and other loans), calculate the resulting APR (EAR and EGAR), and make loan repayment tables (plans)
LG4 - describe and calculate cash flow in an investment project
LG5 - calculate and understand the main evaluation criteria of a project
LG6 - use excel for all the objectives described

1. The concept of interest, consumption and savings
2. Stated vs effective and current vs real interest rates, equivalent rates and spot and forward rates
3. Simple interest (with its two types of discounting) and compound interst. Day count convention
4. Discounting and compounding, value equation, APR (EAR and EGAR)
5. Escrow current account interest, bank discount of bills, reform of bills, installment payments
6. Periodic and regular flows: annuities
7. Investments, valuation of real estate, and financing operations (leasing and renting, loans)
8. Loans: general formulas and repayment tables, revision of contracts and special clauses
9. Capital budgeting: nature, concept of cash flow and discount rate
10. Evaluation criteria: NPV, IRR, PI, DPP

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%.
Evaluation by exam: for students who fail the continuous assessment, or who opt for evaluation by exam, or who want to improve their grade - exam with a weighting of 100%, min. grade of 10. There is no oral exam to improve the grade.

Sílvia Cavalinhos

At the end of this CU, the student should be able to understand and implement the following Learning Outcomes (LO):
LO1. Understand, plan and monitor logistics systems
LO2. Understand the application of new technologies in industrial and commercial applications: automatic picking systems, automatic warehouse systems, transport management systems, cargo planning, route optimization, information management, identification technologies, data analysis and machine learning tools
LO3. Plan and monitor the application of new technologies and their impacts in logistics

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

Periodic Evaluation: minimum attendance of 80% and participation in all assessment instruments. a) Group Project: 20%; b) Individual Projects: 40%; c) written test: 40%. Minimum mark 10.
Evaluation by Final Exam: for students who fail the continuous assessment, or who opt for assessment by exam, or who wish to improve their grade - exam weighted at 100 per cent. Minimum mark 10.
There is no oral exam to improve the grade.

Nuno Santos

After attending the course, students should be able to:
LO1. Know the different types of analytical problems for Management.
LO2. Identify types of structured and unstructured data and how to collect and process them
LO3. Know how to apply and interpret an exploratory data segmentation analysis using R.
LO4. Know how to apply and interpret an analysis and evaluation using regression models or data classification using R
LO5. Knowing how to analyze text and sentiments using R.
LO6. Knowing how to implement the appropriate techniques for each type of management problem.

PC1. Introduction to the main problems of data analysis 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
PC6. Modeling examples of problems in Management with R.

Regular Season: periodic assessment, min. attendance 80% and participation in all assessment instruments. a) Project: 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.

Rui Alexandre Henriques Gonçalves

With the frequency of the UC, students should be able to:
1 - Understand the risk management process in its various aspects and the role of risk management in ensuring the sustainability and continuity of organizations.
2 - Identify the main types of risks to which financial and non-financial institutions are exposed.
3 - Understand the impact of fraud and money laundering activities on the sustainability of organizations.
4 - Understand the role of the Compliance Function in terms of responsibilities, positioning, and impact on risk management.
5 - Understand the potential of using information technologies in the context of risk management.
6 - Gain knowledge about the application of new technologies in risk management

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.

André Filipe Xavier da Glória

LG.1 Prepare a PPS for National/International commerce
LG.2 Develop a PPS Production Plan taking into account the sustainability plan and SDGs
LG.3 Submit a PPS for certifications according to National and International standards
LG.4 Prepare national and international commercial contracts
LG.5 Analyze the value chain and propose a logistics plan
LG.6 Prepare a Report to the Intellectual Property, Brand and Design
LG.7 Creation of startup, spinoff or sell of intellectual property.
LG.8 Develop a plan for scheduling leads with demonstration/marketing of PPS (National/International)
LG.9 Elaborate the commercial action strategy and Treasury forecast
LG.10 Prepare a standard commercial proposal for national and international markets
LG.11 Prepare the approach to be developed with potential customers for the 1st contact, the presentation of the commercial proposal and the communication sequence for the 2nd and 3rd contact
LG.12 Review and redefine the PPS Communication Strategy and Plan.

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

Periodic grading system: - Dossier containing the documentation of various stages: first presentation: 30%; second presentation: 30%; Dossier delivery: 40%; The presentations, demonstrations and Defence are in group.

Sílvia Cavalinhos

At the end of this CU, the student should be able to understand and implement the following Learning Outcomes (LO):
LO1 - Understand the consumer decision making process
LO2 - Know the structure of marketing plan
LO3 - Understand the marketing concepts of: positioning, targets and segmentation and marketing mix
LO4 - Identify the digital communication channels
LO5 - Understand and apply the concepts and metrics of digital marketing
LO6 - Understand the importance of a website, its structure focus on business goals and consumer experience. Define website KPIs and be able to monitor them through tools (eg. Google Analytics)

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. a) individual participation in class: 10%; b) individual and group practical cases: 20%; c) Group work: 30% d) written test: 40%. Minimum score in all assessment elements, 10 points. Minimum attendance of no less than 2/3 of classes is required.
Students who choose only an individual exam, 100% weighting, minimum grade of 10 points.
There is no oral exam to improve your grade.

José Paulo Garcia de Castro

After completing this UC, the student will be able to:

LO1. Identify the main themes and debates relating to the impact of digital technologies on contemporary societies;
LO2. Describe, explain and analyze these themes and debates in a reasoned manner;
LO3. Identify the implications of digital technological change in economic, social, cultural, environmental and scientific terms;
LO4. Predict some of the consequences and impacts on the social fabric resulting from the implementation of a digital technological solution;
LO5. Explore the boundaries between technological knowledge and knowledge of the social sciences;
LO6. Develop forms of interdisciplinary learning and critical thinking, debating with interlocutors from different scientific and social areas.

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.

Helena Luísa Soares

After attending this module, students should be able to:
1. Manage in a rigorous, timely and predictive manner an entity?s liquidity through appropriate technology;
2. Define criteria for liquidity monitoring (through planning, control and reporting) and implementation in an ERP, as well as the direct export of SEPA files and transfer orders from the IMS;
3. Analyze and use the outputs generated by the ERP for monitoring and making decisions on receivables and liabilities by each entity;
4. Monitor an entity?s financial liabilities through the adoption of an appropriate technological model for financial management;
5. Monitor the cash-flows patterns generated by the various sources of financing;
6. Develop historical and predictive global or partial treasury plans generated by the ERP which are integrated to ensure timely compliance with all present and future obligations of an entity.

1 - The role and importance of financial management
1.1. Functional perspective of the origin and applications of funds
1.2. Ensure financial balance
2. Management of financial assets and financial liabilities
2.1. Typology and characteristics of financial assets
2.2. Typology and characteristics of financial liabilities
3. Cash management
3.1. Cash and cash equivalents management
3.2. Ensure availability of funds and treasury financing
4. Treasury planning and Treasury forecasts from a sliding perspective. Treasury budget
5. Optimization in resource management
5.1. Risk and compliance in liquidity management
5.2. Integrated management of working capital needs
5.3 Cash-pooling systems
6. Information Technologies for financial and treasury management
6.1. The development and current role of FINTEC
6.2. Technology for monitoring and controlling financial flows
6.3 Internal reporting for management purposes
6.4 External reporting for regulatory and stakeholder reporting

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.

Sílvia Cavalinhos

With this UC attendance, students should be able to:
1. Design and present, in writing and orally ways, a work of diagnosis of a performance management model.
2. Know how to select the performance management instruments best suited to the needs of the entity and its managers, ensuring strategic alignment;
3. Know how to interpret financial and non-financial information and organize it appropriate technology that contributes to the increase in value of management decisions;
4. Propose the application of conceptual and technological tools that allow the continuous improvement of an integrated model for evaluation and monitoring the entities performance

1 - Key Ideas for Management Analysis and Monitoring Systems
1.1. Strategic framework
1.2 Performance approach
1.3 Measurement performance system attributes
2. Tools for monitoring management performance
2.1. The 3 sets of tools
2.2. Technical or piloting tools: corporate performance management (CPM)
2.3 Behavioral instruments: responsibility centers, internal prices and performance evaluation of responsibility centers.
2.4 Dialogue tools: communicating and making managers participate in an interactive, structured and organized process
3. Digital technologies applied to an integrated performance analysis and a monitoring model
3.1. Requirements of the technological system
3.2. Integration of information (historical and foresight, financial and non-financial) and its dissemination by entities management responsible.

Regular Season: continuous assessment, min. attendance 80% and participation in all assessment instruments. a)attendance, punctuality and individual participation:20%;b)1 individual work(20%) and 1 group work(20%);c)written 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.

Pedro António Ferreira

With this UC attendance, students should be able to:
1. Contribute actively to choose a technological system, in cloud environment and fully digital, that provides advanced technologies for external and internal reporting, integrating all information in a flexible, reliable and timely way.
2. Integrate in a data analytics system all the information of the Entity with strategic relevance for management, in order to make available with timeless and reliability the management and legal reports to which the entities are obliged;
3. Be involved in the definition of an integrated model of reporting of the Entity, taking in account the ESG dimensions, using the appropriate technology for this purpose;
4. Prepare the overall structure of the Integrated Reporting, including the Financial Statements and the Management Report, acquire knowledge of reporting obligations and explore technological functionalities for the preparation, implementation and communication of the integrated report.

1 - The Integrated reporting
1.1. Integrated reporting
1.2. Goals and benefits of the integrated reporting.
2. The ESG reporting dimensions
2.1. The Environmental Dimension (E)
2.2. The Social Dimension (S)
2.3 The Governance Dimension (G).
3. Integration of financial and non-financial information
3.1. Principles of information integration
3.2. International structure of an integrated reporting.
4. The accountability process
4.1. Legal and tax obligations reporting
4.2. Preparation of Financial Statements and Simplified Business Information
4.3 Legal and standard framework of accountability.
5. Information Technologies for the preparation of the Integrated Report
6.1. Technological requirements for the issue of an integrated reporting
6.2. The issuing and disseminating process for integrated reporting
6.3 Compliance with legal reporting obligations and information communication.

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.