"At the end of the course, students should be able to:
LO1. Develop an integrated view of financial statements and management accounting.
LO2. Know the structure and content of the main accounting statements and their importance for management.
LO3. Analyze the impact of business decisions on financial and management accounting."

"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.

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 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.

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 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.

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.

LO1. Define requirements for a technological project using a user-centred design approach.
LO2. Plan, manage, and execute the project using an agile project management methodology based on sprints.
LO3. Work effectively and efficiently in an interdisciplinary team, being able to resolve conflicts and define the various roles within the group, including leadership roles.
LO4. Develop the technological project according to user requirements, using hardware kits and low-code or no-code software tools.
LO5. Apply standards for the preparation of technical reports.
LO6. Prepare the demonstration of the technological project’s functionalities.

S1. Introduction, course overview and assessment. Demos of previous year’s projects and new project ideas.
S2. Hardware and software kits available in the laboratory.
S3. Condensed Design Sprint methodology: Map, Sketch and Decide in 140 minutes.
S4. AEIOU interviews, empathy maps, personas.
S5. Use scenarios, definition of user requirements and product vision.
S6. Team management, conflict resolution, and leadership.
S7. Project management: Agile vs Waterfall methodologies. Introduction to the PMBook.
S8. Agile SCRUM methodology: 3 roles, 5 ceremonies, 3 artefacts, and 4 bi-weekly sprints.
S9. Product backlog, functionalities, user stories, prioritisation using MoSCoW, cost estimation with story points.
S10. Tools supporting SCRUM (JIRA).
S11. Low-code/no-code tools for prototype development (Power Apps).
S12. Hardware simulator.
S13. Production of a technical report and project demonstration.

The course is assessed continuously throughout the semester, with no final exam. Weighting is as follows:
• Individual assessment: 2 mini-tests – 20%
• Group project assessment – 80%, based on deliverables submitted via Moodle:
 ◦ D1 – User Requirements Report and Product Vision – 20%
 ◦ D2–D5 – Interim automated reports generated by JIRA at the end of Sprints #1 to #4 – 20%
 ◦ D6 – Final Technical Report – 15%
 ◦ D7 – Presentation, prototype demo, and project discussion – 25%
Students pass the course if they achieve a final weighted mark equal to or greater than 9.5 out of 20.

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.

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.

"LO1. Know and be able to apply the economic way of thinking.
LO2. Know the optimal consumer choice and how this choice changes with variations in prices and income.
LO3. Know how to characterize the production function of firms using an economic approach and the different measures of costs.
LO4. Know and understand the main market structures.
LO5. Be able to use and apply the concepts, principles and theoretical models to real world situations and problems."

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

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.

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:
Students who do not achieve the minimum overall grade may complete an individual Practical Project (100%) with oral discussion.
If a student misses an exam due to absence, or does not achieve the minimum grade of 7 points, they may take a make-up exam at the end of the semester.

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

OA1 - To be trained in the ethical and responsible use of Generative Artificial Intelligence (AI) tools
OA2 - To acquire critical analysis skills on the results produced by Generative AI tools
OA3 - To be able to identify and develop creative solutions in solving ethically and socially complex problems with Generative AI
OA4 - To be able to apply Generative AI tools in the preparation of academic work, in particular in the application of academic writing and in the use of normative citation and referencing procedures.

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.

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. 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.

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.
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.

At the end of the course unit, each student should be able to:
LO1. Explain 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. Determine the ideal tools for implementation, planning, and budgeting to execute the chosen strategy(ies)
LO5. Apply strategic practices and tools to projects, case studies, simulated competitive environments, and real company analysis

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.

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.

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.

After successfully attending the curricular unit, 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 software.
LO4. Know how to apply and interpret analysis and evaluation using regression models or data classification using software.
LO5. Know how to perform text and sentiment analysis using software.
LO6. Know how to implement the appropriate techniques for each type of problem in Management.

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

Scale: 0-20 points.

By attending the course, students should be able to:
LG1 - determine the different type of financial flows in a firm and know how to distinguish between profit and cash flow
LG2 - calculate, in different financial transactions, according to time value of money: the interest (and the respective interest rate), yields, the present value and the future value, stated and effective rates
LG3 - determine financial flows, from investment and funding operations, calculate the resulting APR (EAR and EGAR), and make loan repayment tables (plans)
LG4 - analyse the firm's Profitability and Solvency, and its connections, based on the Income Statement and Balance Sheet.
LG5- using the main ratios and indicators: ROA, ROE, FL, LI.
LG6- describe and calculate cash flow in an investment project
LG7 - calculate and understand the main evaluation criteria of a project
LG8 - use excel for all the objectives described

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.

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

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.

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.

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.

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%.

At the end of the curricular unit, students should be able to:
LO1. Know how to contribute to the choice of a technological system, preferably cloud and digital environment, that provides advanced external and internal reporting technologies, integrating information in a flexible, reliable, and timely manner.
LO2. Know how to integrate into a data analytics system all the information of the entity with strategic relevance for management, in order to provide management and legal reports that the entities are obliged to produce in a timely and reliable manner.
LO3. Know how to define the backbone of an integrated reporting model for the entity, considering ESG dimensions.
LO4. Prepare the overall structure of the integrated report, including financial statements and the management report, acquire knowledge of reporting obligations and explore technological functionalities for the preparation, execution, and communication of the integrated report.

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.

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.

LO1: Critically recognise the advantages and limitations of AI methods (Machine Learning, NLP), identifying appropriate application contexts.
LO2: Select and justify supervised and unsupervised learning algorithms, as well as prompt engineering techniques, considering efficiency, applicability and ethics.
LO3: Design AI-based solutions for business scenarios, involving data collection, preparation and analysis.
LO4: Implement prototypes using predictive analytics platforms and Generative AI tools, validating outcomes in real settings.
LO5: Embed data protection and legal compliance principles, ensuring transparency and governance in AI systems.
LO6: Collaborate in multidisciplinary teams to analyse use cases, develop solutions and communicate findings effectively.
LO7: Demonstrate awareness of ethical and social implications, guiding responsible AI adoption practices.

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.

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.

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

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.

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.

By attending this unit, students must be able to:
LO1. Calculate ROA, its breakdown, and ROIC. Define possible measures for improvement.
LO2. Calculate ROE and its breakdown. Define possible measures for improvement.
LO3. Analyze short-term solvency - calculate the Liquidity indicator. Define measures for improvement. Compute the Operating Free Cash Flow.
LO4. Know the various sources of financing, short and medium/long term and calculate the All in Costs, including Leasing and Bond Issues.
LO5. Manage financial leverage - optimize the debt ratio, and evaluate the operating and financial risks.
LO6. Determine the rate of return required by investors - CAPM model.
LO7. Add sources of financing when analyzing investment projects, using different methodologies: APV, @WACC, FCFE.

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.