Álvaro Augusto da Rosa

Alexandra Marques Fernandes

Florinda Maria Carreira Neto Matos

Inês Vieira Godinho Medeiro Patrão

José Pedro Campino

Vânia Isabel Patrício

LG1 - Understand and debate the fundamental concepts of management and organizations
LG2 - Identify and debate the issues of ethics, responsible managementa and sustainability in the various dimensions of management
LG3 - Identify and develop managerial competences
LG4 - Familiarize with global shifts that impact on management and organizations of the future

S1 - Managing and organizations
S2 - Ethics, responsible managment and sustainability
S3 - Managing individuals, groups and teams
S4 - Managing change and digital transition
S5 - Managing globalization

The assessment comprehends a group assignment (30%); and,
a final written test (70%).
Attendance record must be 80% or above.
Students may opt for a final written exam at the end of the period.

Maria Catarina Salema Roseta Palma

Francisco Caneira Madelino

Henrique Monteiro

Mariana Cardoso dos Santos

By the end of the curricular unit the student should:
LO1. know the basic concepts of microeconomic theory;
LO2. understand the relevant modelling techniques;
LO3. use theoretical knowledge in the analysis of real markets;
LO4. combine the conceptual, mathematical and graphical approaches to solve specific problems.

S1. Introduction to markets: demand, supply and equilibrium.
S2. Consumer theory
The budget constraint and the set of feasible choices; preferences and utility; optimal choice; individual demand; market demand; elasticities; extensions to the rational consumer model.
S3. Producer theory
Technology and the production function in the short and in the long run, marginal productivities and scale returns; short and long run costs; profit maximization.
S4. Market structure
Perfect competition: assumptions; the individual supply curve and market supply; market equilibrium in the short and in the long run; consumer and producer surplus; the efficient market result; introduction to market failures.
Monopoly: the firm's choice; efficiency losses; natural monopolies; price discrimination.
Imperfect competition: basic game theory, Nash equilibrium; examples of oligopoly models; cartels and regulation.

Assessment throughout the semester includes the following elements:
- Two online quizzes, each having a weight of 20% (there will be three quizzes, but only the best two will be taken into account);
- Participation in class, including problem set resolution (10%);
- Written exam at the end of the term (50%).*
*In order to get a positive grade in the course, the mark of the written exam cannot be below 8.5.

Students can opt to be assessed by a single final exam (100% of the grade).

Ana Isabel Dias Lopes

André Filipe Martins Narciso

José António Morais de Azevedo Rodrigues

Pedro António Ferreira

This UC has the following objectives:

1. Understand the objective of financial accounting
2. Understand the basic accounting equation
3. Analyze and describe the effect of business transactions on the accounting equation
4. Understand the financial statements and how they are prepared

Chapter 1 Financial statements and business decisions
Chapter 2 Investing and financing decisions and the balance sheet
Chapter 3 Operating decisions and the income statement
Chapter 4 Adjustments, financial statements and the quality of earnings
Chapter 5 Reporting and interpreting sales revenue, receivables and cash
Chapter 6 Reporting and interpreting cost of goods sold and inventory

Assessment in two different ways:
I) By continuing evaluation, for students attend with punctuality more than 80% of classes, considering the following weights: 25% for the individual mid-term test (minimum of 8); 25% for the works in group; 50% for the individual final test (minimum of 8).
II) Final exam.
Students will be approved with final classifications of 10 or more points. Final classifications above 16 have to realize an extra oral examination.

Jonas Oliveira

Ana Cristina da Conceição

André Filipe Martins Narciso

Diogo Nery Tavares

Mathilde Verschaeve

Álvaro Daniel Silva Vistas de Oliveira

After being approved in this course, students must be able to:
- Apply cost allocation methods;
- Identify the income effects of alternative cost accumulation systems;
- Indentify and explain the basis of accounting information for decision making.

1.Aims of management and cost accounting
2.An introduction to cost terms and purposes
3.Alternative cost accumulation systems, income and inventory effects
4.Cost allocation
5.Cost allocation: Joint costs situations
6.Job costing systems
7.Process costing systems
8.An introduction to cost-volume-profit analysis

1. Ongoing evaluation 50%: Attendance 5%; Exercises 5%; 2 midterm tests 20% each; Final test 50%;This system requires an attendance of at least 80%; minium mark average 7 between midterm tests; minim mark 8 in the final test. 2. Test otherwise it will fail; Normal and Special Exams. The pass grade is 10 (out of 20). Students with a grade between 8 and 10 (out of 20) have to do an oral exam. 3. Students with a final grade above 16 have to make an aditional examination.

Luís Laureano

Andrea Sofia Meireles Rodrigues

Clementina Barroso

At the end of this learning unit's term, the student must be able:

1. To explain the concept of time value of money, discounting and compounding and to be able to compare cash flows with different timetables;
2. To compute cash flows from applications and financing operations;
3. To characterize the organization of the main financial markets;
4. To compute currency and interest rate operations;
5. To describe the concept of business profitability and to compute and analyze the more relevant profitability ratios linking profitability with the firm's capital structure;
6. To analyze the financial condition of a firm and to compute and analyze the more relevant financial ratios;
7. To describe and compute de concept of working capital and to link it with the firm's financial condition;
8. To describe and compute the concept of cash flow in capital investment valuation;
9. To describe and compute the main valuation criteria used in capital investment analysis.

I - Time Value of Money
1. The concept of interest rate, consumption and saving
2. Nominal and real interest rate
3. Financial intermediation and risk
4. Simple and compounding interest
5. Discounting and compounding factors
6. Periodic/regular flows: rents
7. Applications and financing operations

II - Markets, Instruments and Financial Institutions
1. Foreign exchange market: the currency rate
2. Monetary market: the interest rate
3. Capital markets: primary and secondary markets
4. Financial Institutions
5. Financial information: sources and analysis

III - Financial Analysis
1. Economic and financial flows
2. Income and profitability ratios
3. Financial leverage
4. Sources and application of funds
5. Working capital
6. Solvency
7. Cash flow analysis

IV - Capital Investments
1. Typology of investments
2. The concept of the project's cash flow map
3. Valuation methodology
4. The discount rate
5. Valuation criteria: NPV, IRR, PI and PAYBACK

Assessment throughout the Semester:
There is no mandatory attendance.

There are 2 Tests:
1. Intermediate Test - worth 40% of the final grade, in person, and with no minimum grade. It covers points I and II of the Syllabus.
2. Final Test - worth 60% of the final grade, in person (at the same time as the First Period Exam), and with no minimum grade. It covers points III and IV of the Syllabus.

For the Intermediate Test and the Final Test, prior registration may be mandatory.

Assessment by exam:
Both the First Period and the Second Period Exams are each worth 100% of the final grade and are performed in person. Each one covers all the points on the Syllabus.

Jorge Rafael Santos

Pedro Miguel de Oliveira

Ricardo Marques Dias

On completion of this course the student should be able to:

LO1. Organize data and structured information, and use pivot tables (in a spreadsheet).
LO2. Develop functions that implement simple algorithms, using variables and control structures.
LO3. Manipulate objects and develop simple object classes.
LO4: Create a Python program using structured data types: tuples, lists, dictionaries
LO5: Use the numpy library to create and manipulate vectors and matrices
LO6: Use the pandas library to create and manipulate data tables
LO7: Import a file and manipulate its data
LO8: import, prepare and visualize data graphically

Introduction and Fundamentals

CP1. Data organization and pivot tables
CP2. Variables and control structures
CP3. Functions, invocation, and arguments
CP4. Procedures and input/output
CP5. Objects and object classes
CP6. Structured types of information: tuples, lists and dictionaries
CP7. Basic usge of NumPy arrays: Vectors and Matrices
CP8. Pandas library and its main data structures
CP9. Reading files, representing and writing data
CP10. Data aggregation, group operations and Pivot tables
CP11. Graphical data visualization

Periodical Assessment:
Group work (40%) – Project, mandatory, no minimum score.
Individual Test (60%) - Written test, mid-term, scheduled to be online, mandatory, with a minimum score of 8 (in 20).

Final exam (100%):
- Individual written exam, without consultation, encompassing all syllabus.
Takes the final exam - in season 1, 2 or special who doesn’t conclude the periodical assessment with an average score greater than or equal to 10 (out of 20).
Attendance is not a requirement for passing.

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.

LO1. Develop skills in identifying and understanding the basic processes of scientific research.
LO2. Know, identify and summarise the essential elements of a scientific article.
LO3. Identify the structure of writing in research papers and technical reports. LO4. Know how to use APA Standards in scientific writing and academic reports (standards for dissertations and theses at Iscte-IUL).
The learning objectives will be achieved through practical and reflective activities, supported by the active and participatory teaching method which favours experiential learning. Classes will consist of activities such as:
- Group discussions;
- Oral presentation and defence;
- Analysing texts;
- Project presentations;
- Individual reflection.

CP1: Introduction to scientific research: concepts and processes. Research questions. Processes: stages (Identifying the problem; Reviewing the literature; Defining objectives and hypotheses; Selecting the methodology; Collecting data; Analysing data; Conclusions and recommendations).
CP2: Techniques for summarising and analysing scientific articles. Identifying relevant sources, evaluating the literature and synthesising information. Ethics, informed consent, confidentiality and integrity in research. Data collection methods.
CP3: Structure and organisation of research papers: pre-textual elements (cover, title page, abstract, keywords, table of contents), textual elements (introduction, literature review, methodology, results, discussion) and post-textual elements (conclusion, references, appendices, annexes). Preparation of a structure based on topics provided by the lecturer.
CP4: Application of APA Standards in scientific writing and academic reports.

The assessment of the course aims to gauge the students' acquisition of skills in essential aspects of writing texts in an academic context. Assessment throughout the semester includes activities covering different aspects of the technical and scientific writing process, including group and individual work activities:
Group activities (70%) [students are organized into groups of 4, randomly selected].
1- Group discussions with case studies (20%):
Description: each group is given a case study to analyze, and must identify the type of text; the research problem(s), hypotheses, methodologies used and data sources. The results of their work are presented in class to their colleagues (Time/group: presentation - 3 min; debate - 5 min).
Assessment (oral): based on active participation, the quality of the analysis and the clarity of the presentation.
2 - Research exercises and application of APA standards (20%).
Description: Students carry out practical research exercises in a (thematic) context on bibliographical references, their formatting and citation according to APA Norms. Assessment (written work to be submitted on Moodle): The exercises will be corrected and assessed on the basis of accuracy and compliance with APA Standards.
3 - Project Presentation Simulations (30%):
Description: 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 (Time/group: presentation 3 min.; debate: 5 min.). The work is then reviewed following the comments.
Assessment: (Oral component and written/digital content to be submitted on Moodle): organization, content, correct use of the structure and procedures of academic work, ability to answer questions posed by colleagues and the teacher.
Individual activities (30%):
1 - Summary of a scientific article (20%).
Description: Each student must read and summarize a scientific article.
Assessment: The summaries made in class will be assessed on their ability to identify and summarize the essential elements of the text.
2 - Participation in activities throughout the semester (10%).
Description: This component aims to assess the specific contributions of each student in the activities carried out throughout the semester. Assessment: Interventions in the classroom; relevance of the student's specific contributions to debates; collaborative relationship with colleagues. In order to be assessed throughout the semester, the student must be present at 80% of the classes and have more than 7 (seven) marks in each of the assessments. If there are doubts about participation in the activities carried out, the teacher may request an oral discussion.
Final assessment: In-person written test (100%).

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: Develop the essential skills, knowledge, and tools to observe, describe, and understand the context and phenomena influencing communication.
LO2: Develop the skills to communicate effectively in multicultural contexts.
LO3: Use the skills in practical situations through oral and written communication.
LO4: Employ communication skills proactively, considering individual roles, behavioral types, and resources used during communication.

PC1: Multiple contexts that initiate and disrupt the communication process, implicit and explicit norms, as well as communication constraints across different contexts.
PC2: Ethnomethodology of the communication process, interpretation based on linguistic, paralinguistic, non-linguistic, and contextual information within oral communication.
PC3: Observation of verbal and non-verbal communication: analyzing gestures, posture, facial expressions, and eye contact (key elements of interactive communication that reinforce or replace oral communication).
PC4: The relevance of active listening in communication across multiple cultural contexts (interpreting and analyzing the phenomena).

Assessment throughout the semester:

Class participation: Evaluates the presence, involvement, and individual contributions of students in discussions and practical activities (20%).

Group work: Students are organised into groups of up to 4 members, randomly assigned, with the support of the lecturer.
• Description: Group activities focus on the observation, interpretation, and analysis of phenomena that encompass the rules, norms, and constraints of communicative activity in a practical study, using the learned content.

• Assessment: Quality of written productions and oral presentations of the developed work (active listening), which must necessarily incorporate comments provided by classmates and the lecturer during the presentations (40%).

Individual work (with consultation, to be carried out in person, in the classroom, according to the evaluation schedule):
• Description: According to a guide defined by the lecturer, comments made in the classroom are deepened in an individual report based on two presentations made by other colleagues.

• Assessment: According to the guide; explicit integration of elements outlined in the learning objectives (40%).

To complete the course unit through continuous assessment, students must not score less than 7 in any of the assessment components, including mandatory attendance of 75% of classes. The final assessment may involve an oral discussion of the work.

Final assessment:
Although not recommended, students may opt for final assessment through written work according to a prompt that will be provided by the lecturer. The final assessment of the work involves ants oral discussion with a panel of lecturers (100%).

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.

At the end of the course, students should be able to:

LO1: Import and validate data effectively;
LO2: Use statistical and logical functions for complex data analysis;
LO3: Identify and correct error messages using information functions;
LO4: Manipulating dates and text to solve specific problems;
LO5: Apply custom formatting and advanced filters to organize data;
LO6: Use query and reference functions to consolidate data from different sources;
LO7: Create and interpret dynamic tables and graphs to present data;
LO8: Develop and use command macros for task automation.

These objectives ensure that students acquire advanced knowledge, practical skills, and technical competencies to use Excel effectively in demanding professional contexts.

SYL1. Data import and validation
SYL2. Statistical functions
SYL3. Logical functions
SYL4. Error messages and information functions
SYL5. Date Functions and Arithmetic
SYL6. Text manipulation functions
SYL7. Custom formatting and advanced filters
SYL8. Query and reference functions
SYL9. Consolidation, pivot charts, and graphs
SYL10. Introduction to macros

The evaluation process in the Advanced Excel course unit follows the guidelines of the General Regulation for the Assessment of Knowledge and Skills (RGACC). The evaluation modalities provided for in the RGACC are evaluation throughout the semester and evaluation by exam:

1. Evaluation Throughout the Semester: This modality is regular during the curricular period, using different instruments of continuous and formative assessment:

1.1. Participation and Attendance (20%):

1.1.1. Attendance (30%): The minimum attendance is 80% (5 classes). The student must automatically register their attendance with their student card at the beginning of each lesson.

1.1.2. Participation (70%):
- Individual practical exercises to be carried out in class (50%), such as online quizzes in Moodle and/or exercises using Excel;
- Individual practical exercises to be carried out at home (50%) using Excel.

1.2. Online Course (10%): Completion of the Advanced Excel online course, including quizzes after each module. The student must complete the online course by 11:59 pm on the day before the 6th class of the shift in which the student is enrolled, including the response to the survey available after completing the online course.

1.3. Individual Assessment Test (70%): It takes place in the 6th class, and multiple-choice questions and/or exercises using Excel may be considered. If the test is made available via Moodle, it must be taken on the computers available in the classroom.

2. Evaluation by Exam: Evaluation by exam takes place during the evaluation period, focusing on all the subjects taught in the UC. The student can opt for the 1st or 2nd exam season or the special exam season, which is only available for eligible students. This method only presupposes the following element of evaluation:

2.1. Written Test (100%): Final written exam, covering all syllabus, and may consider multiple-choice questions and/or exercises using Excel. If the exam is made available via Moodle, it must be taken on the computers available in the classroom.

Requirements for Taking the Exam:
- Completion of the online course, as described in point 1.b., by 11:59 p.m. on the day before the exam. The completion of the online course is mandatory but is not weighted in the final grade in the exam evaluation modality;
- Prior registration for the exam up to 48 hours before the date with the SGE or available platforms.

General Observations:
- In the evaluation modality throughout the semester, the student cannot have a classification lower than 7.0 values in any of the evaluation elements or will have to move on to the evaluation modality by exam;
- The teacher reserves the right to request that any student perform an oral test, regardless of the type of evaluation, whenever it is considered necessary to complement the other evaluation elements.

OA1: Enhance the ability to recognize and value personal resources of technical and interpersonal knowledge.

OA2: Gain a comprehensive understanding of the procedures and settings involved in job searching.

OA3: Develop proficiency in crafting a formal application process for a professional role.

The attainment of these learning outcomess will be facilitated through a combination of practical and reflective activities, underpinned by an active and participatory teaching methodology that prioritizes experiential learning. The course sessions will incorporate a diverse range of activities, including:
• Engaging in Group Discussions;
• Participating in Simulations;
• Analyzing Case Studies;
• Critically Evaluating Videos and Texts;
• Presenting Projects;
• Engaging in Individual Reflection.

S1. Personal Resource Identification & Labour Market participation
- Self-assess skills & interests: identifying strengths, areas for improvement and transferable skills.
- Develop personalized career plan: aligned with objectives, interests and opportunities..

S2. The Labor Market:
- Understanding labor market dynamics, trends, and sectors to make informed professional decisions.
- Recognizing the dignified work principles
- Identifying and exploring job search platforms.

S3.Constructing a Professional Profile:
- Creating a public profile: build CV & network of contacts through networking events, online communities, and industry associations.
- Planning the application process: from identifying opportunities to preparing for interviews.
- Maintain and update online professional profiles and networks regularly to reflect ongoing development and achievements.

The assessment of the UC "Competencies for the Labor Market" aims to assess the development of students' competences and skills in areas that are essential for a successful transition into the labour market. The assessment structure includes four axes of activities, covering different aspects of the job search and professional development process.
Activity Axes and Weighting:

Assessment throughout the semester
a) Individual work skills (50%)
1. Skills assessment and professional documentation (25%):
Activity 1.1: Self-assessment and Skills Evaluation (12.5%)
Objective: To identify strengths, areas for development, technical and relational skills.
Activity 1.2: Curriculum Vitae and Cover Letter Preparation (12.5%)
Objective: Prepare a CV and cover letter suitable for the desired job positions, with clarity, objectivity, conciseness, and highlighting qualifications.
2. Creation of Professional Profile and Network (25%):
• Activity 2.1: Creation of Online Profile (12.5%):
Objective: Create a complete profile with relevant information, clarity, professionalism, and attractiveness.
Activity 2.2: Building a network of contacts (12.5%)
Objective: Develop strategies to build, expand, and diversify the network of contacts relevant to professional goal.

b) Group Work (50%)
• [Groups consist of up to 4 people and are formed randomly]
3. Simulations of Recruitment Process Stages (25%):
Activity 3.1: Group Dynamics (12.5%)
Objective: Develop communication, teamwork, problem-solving, and adaptability skills, focusing on collaboration, clear communication, creative problem-solving, and adaptability.
Activity 3.2: Selection interview (12.5%)
Objective: Practice selection interviews, focusing on verbal and non-verbal communication, posture, ability to answer questions, highlight strengths, and demonstrate interest in the position.
4. Clarity and Objectivity of the Produced Materials (25%)
Activity 4.1: Analysis of Produced Materials Dossier (25%)
Objective: Evaluate the clarity, objectivity, formatting adequacy, organisation of ideas, textual cohesion, coherence, spelling, and grammar of the produced materials.

General considerations: throughout the semester, student will receive individual feedback about their work. To complete the course in this modality of evaluation through the semester, students must attend 75% of the classes, and must not obtain less than 7 in any of the assessment components.

Final Assessment
Although not recommended, students may opt for the final assessment through an in-person written exam. If the student score above 8 out of 20 on the written exam, the final assessment may also include, at teatcher discretion, an oral discussion (if conducted, this oral component will have a weight of 40% in the final assessment).

Learning Outcomes
LO1: Explore how critical thinking is essential for informed decisions, problem-solving, and developing strong arguments in academic and professional contexts. Identify situations where it is applied.
LO2: Study the basic components of an argument and how they combine into complex arguments. Distinguish between different types of arguments.
LO3: Develop skills to break down arguments by critically analyzing texts and speeches, identifying strengths and weaknesses.
LO4: Learn to identify logical fallacies and common everyday mistakes. Recognize and correct errors in arguments to improve the accuracy of discourse.
LO5: Develop criteria for evaluating the quality of arguments and argumentative texts, considering coherence, relevance, evidence, and effectiveness in various contexts.
LO6: Practice the construction of solid arguments in oral debates and written texts. Formulate and present clear and structured arguments, adapting them to the audience and context.

CP1. Definition and importance of critical thinking (CT)
• Applications of CT in academic and professional life
• Benefits of CT for decision-making and problem-solving
CP2. Basic structure of an argument: premises and conclusion
• Difference between simple and complex arguments
• Examples of simple and complex arguments
CP3. Methods for analyzing arguments
• Evaluating the validity of the premises
• Identifying assumptions and implications
CP4. Logical fallacies and common errors
• Definition of logical fallacies
• Common types of fallacies (e.g., appeal to authority, false dichotomy)
• Recognizing fallacies in everyday speech
• Strategies to avoid fallacies
CP5. Criteria for evaluating the quality of arguments
• Coherence, relevance, and evidence
• Critical analysis of texts
CP6. Building Arguments
• Creating strong and persuasive arguments
• Practicing argument construction in different contexts
CP7. Practical applications of CT
• Debate exercise

The assessment throughout the semester is done through presentations, exercises, debates, readings, and case discussions (in small groups).
Active participation in the practical classes is expected and follows these criteria:
Attendance/participation - In-class exercises + group debate (with a minimum of 80% attendance) attendance 5%, participation 5%, debate 15% (total 25%)
Homework - 15% (1 homework assignment - 5% + 1 homework assignment - 10%) = 15%
Final Work (60%)

To successfully complete the assessment throughout the semester, students cannot score less than 7 points in any of the evaluation components listed.
Exam Periods
Written Work - 100%
Although not recommended, it is possible to choose assessment by exam; this assessment may also involve, at the teacher's discretion, an oral discussion (this oral component carries a weight of 40% in the final evaluation).

Ana Junça Silva

Andrea Maria Flores Oliveira Fontes

1. To understand the main goals of Human Resources Management and to explicit their integration with General Management
2. Define the main characteristics of planning, recruitment, selection and socialization of new employees;
3. To know the main defining elements of Training, Career and Performance Evaluation policies;
4. Apply the main concepts of Compensation and Conditions of Service to HRM ;
5. Apply theoretical concepts of HR on the analysis of managerial and economic contexts

1.Introduction to HRM (Human Resource Management)
1.1. What is HRM and its importance
1.2. Evolution of HRM
1.3. The 4.0 Revolution
1.4. Current HRM

2. Themes Shaping Contemporary HRM
2.1. Globalization
2.2. Outsourcing
2.3. Offshoring
2.4. Demographics, Aging, and Immigration
2.5. Diversity
2.6. Equality of Opportunities and Inclusion
2.7. Telework and Independent Work
2.8. Sustainability

3.Key Activities and Processes in HRM
3.1. Job Analysis and Design
3.2. HR Planning
3.3. Recruitment and Selection
3.4. Training and Development
3.5. Performance Management
3.6. Careers
3.7. Remunerations and Rewards, and Labor Relations
3.8. Health and Safety at Work

1. Periodic evaluation:
- Final test 75%
- 2 group works 25%
For approval in periodic evaluation, each evaluation element must have a minimum score of 7.5v and final evaluation with a score greater than or equal to 9.5v.
Students excluded from the periodic evaluation will be able to carry out a final evaluation (100%).
2. Final Evaluation:
final evaluation 100%

Filomena de Almeida

Ana Junça Silva

Catarina Correia Leal

Maria João Velez

1. To understand the main goals of Human Resources Management and to explicit their integration with General Management
2. Define the main characteristics of planning, recruitment, selection and socialization of new employees;
3. To know the main defining elements of Training, Career and Performance Evaluation policies;
4. Apply the main concepts of Compensation and Conditions of Service to HRM ;
5. Apply theoretical concepts of HR on the analysis of managerial and economic contexts

1.Introduction to HRM (Human Resource Management)
1.1. What is HRM and its importance
1.2. Evolution of HRM
1.3. The 4.0 Revolution
1.4. Current HRM

2. Themes Shaping Contemporary HRM
2.1. Globalization
2.2. Outsourcing
2.3. Offshoring
2.4. Demographics, Aging, and Immigration
2.5. Diversity
2.6. Equality of Opportunities and Inclusion
2.7. Telework and Independent Work
2.8. Sustainability

3.Key Activities and Processes in HRM
3.1. Job Analysis and Design
3.2. HR Planning
3.3. Recruitment and Selection
3.4. Training and Development
3.5. Performance Management
3.6. Careers
3.7. Remunerations and Rewards, and Labor Relations
3.8. Health and Safety at Work

1. Periodic evaluation:
- Final test 75%
- 2 group works 25%
For approval in periodic evaluation, each evaluation element must have a minimum score of 7.5v and final evaluation with a score greater than or equal to 9.5v.
Students excluded from the periodic evaluation will be able to carry out a final evaluation (100%).
2. Final Evaluation:
final evaluation 100%

Sandra Costa

Ana Catarina Carnaz

Catarina Correia Leal

Inês Carneiro e Sousa

Luís Miguel Alves Simões

Maria João Velez

By completing this course, students should be able to:
LG1: Explain the dynamics of leadership processes in organizations.
LG2: Explain and apply the main models of motivation and decision-making in organizations.
LG3: Describe and contrast team dynamics leading to high performance.
LG4: Integrate the individual and group levels in the organizational processes of change, conflict and political behavior.

CP1. Leadership and organizational behaviour
1.1 Relevance of organizational leadership
1.2 Relevance of organizational behavior for leadership
CP2. Organizational leadership
2.1 Classical approaches to leadership
2.2 Contemporary approaches to leadership
CP3. Individual processes
3.1 Personality
3.2 Motivation and satisfaction
3.3 Emotions and emotional regulation
CP4. Teams in organizations
4.1 Team formation and development
4.2 Team structure and dynamics
4.3 Teamwork
CP5. Organizational and leadership processes
5.1 Organizational change
5.2 Decision-making
5.3 Conflict
5.4 Power and political behavior

Assessment modalities:
1) Periodic assessment:
Group assignment (50%)
Individual final test (50%)
Requirements: A minimum grade of 8 points in each evaluation element (or group oif elements). Minimum mark for approval is 10 points.
Minimum attendance required according to the rules in force.
2) First sitting exam: written test (100%), with a minimum mark of 10 to get approval.
3) Second sitting exam: written test (100%) with a minimum mark of 10 to get approval.

Filipa Rosado Pinto

Isabel Soromenho Sequeira

Ricardo Jorge Godinho Bilro

Vítor Santos

At the end of this curricular unit, students should be able to:
1. Identify and characterize the main key concepts and theories of product-mix;
2. Identify and characterize the main key concepts and theories of distribution;
3. Identify and characterize the main key concepts and theories of pricing;
4. Identify and characterize the main key concepts and theories of promotion;
5. Demonstrate how to apply key tools of Marketing Mix in practical situations.

0. The articulation between strategic and operational planning.
1. Setting Product Strategy (good, service or idea)
- Brand equity.
- The product-mix for goods Vs services.
- New product development.
- Product line management.
2. Marketing Channels
- Relationships and Types of intermediaries.
- Functions of distribution.
- Channels of distribution: importance, composition and characteristics.
- Distribution of Producer and Retailer.
- Merchandising.
3. Developing Pricing strategies and programs
- Determining factors: internal and external.
- Price strategies.
- Price criteria.
- Target market reaction to price change.
4. Designing and Managing Integrated Marketing Communications
- The influence of the consumer buying decision process on marketing communications.
- The communications mix:
Advertising
Sales Promotion
Public Relations
Sales Force
Direct Marketing
The influence of relationship marketing on the communications mix.
Promotion and Advertising Plans

OPTION1: Evaluation throughout the semester: Individual end-of-term exam 50% (min grade 8). Group Works 40% (min grade 10). Individual evaluation - participation and cases studies 10% (min grade 10).
OPTION 2: End-of-term exam - 100%.

The student must ensure class attendance of at least 2/3 of the classes.

Students with a final grade above than 16 may have an additional oral examination.

Vivaldo Manuel Mendes

Alexandra Ferreira Lopes

Francisco Caneira Madelino

1. Students should be able to identify the main macroeconomic variables and economic policy instruments.

2. Students should be able to understand economic policy mechanisms and evaluate the consequences of policy measures on the welfare of economic agents.

3. Students should be able to analyze and evaluate the consequences of external shocks to economic activity.

1. Welcome to Julia & Pluto notebook
2. Introduction to Macroeconomics
3. Measuring Macroeconomic Data
4. The IS Curve
5. Monetary Policy & Aggregate Demand
6. The Central Bank Balance Sheet & Monetary Policy Tools
7. Aggregate Supply and the Phillips Curve
8. The Aggregate Demand & Supply Model
9. Macroeconomic Policy: Aggregate Demand & Supply Analysis
10. Extreme Cases: Deflation vs Rampant Inflation
11. Fiscal Policy & the Government Budget
12 . Rounding off topics & controversies

Option A:
1. Attendance at at least 75% of classes
2. Mid-term test (covering the topics up to week 6): 50%
3. Final test (covering all topics, but with more emphasis on the material from weeks 6 to 12): 50%
4. The grade in any of these tests cannot be less than 8 points out of a possible 20
5. The tests are computer-based (not paper-based). For this purpose, students must register in a UC database to receive the test by email.

Option B:
1. Final exam: 100% weight in the final grade.
2. Covers all the material taught throughout the semester.
3. The exam will be computer-based (not paper-based). For this purpose, students must register in a UC database to receive the test by email.

Carlos Neves Almeida

Pedro Quartin Graça

Ruben Bahamonde Delgado

The student is able to master basic concepts of law and to identify and analyze the main phases of the process of creation of a company.
The student understands the relations between the diverse organs of the company.
The student understands the process of elaboration and approval of accounts.

I- Basic concepts of Law
II- Company Law and Commercial Law
III- The place of the company in the Organization of Business
IV- Formation of the company: types of companies; the memorandum and the articles of association; the incorporation and its effects.
V- Organization of the company: general meetings; management and administration of the company and the auditors.
VI- The company's transactions, annual accounts and distribution of profits. The maintenance of capital.
VII- Alteration of the memorandum and winding up of the company.
VIII-Commercial contracts (Basic notions. Sale, loan and factoring).

The evaluation will be made throughout the semester. The result of the test will contribute 20% to the final grade.
The students - in groups of up to four - will write and present a report on the constitution of a company. The result of this evaluation will contribute 30% to the final grade.
The written exam represents 50 % of the final grade, but it is mandatory to obtain a minimum score of 8 points in each assessment in order for a student to be approved in the course.
Students have to attend classes.
Alternatively, students may opt just to pass a final exam.

Ilídio Tomás Lopes

Luís Fernando da Costa Baptista

Maria de Fátima Lopes Antunes

Maria Manuela Duarte Martins

Pedro Pereira

Upon completing the course, students should be able to:
AoL1 - Identify the financial statements and understand their structure and connection, both in national and international regulations;
AoL2 - Identify the main transactions in the investment cycle, apply appropriate measurement methods and establish their impact on the financial statements;
AoL3 - Identify the main transactions in the financing cycle, apply appropriate measurement methods and establish their impact on the financial statements;
AoL4 - Understand, in an integrated way, the accountability process, including the most relevant aspects related to the legal certification of accounts.

1. Accounting harmonization and financial reporting: national and international regulations; Financial statements;
2. The investment cycle: Property, plant and equipment, intangible assets and investment Property; Recognition and measurement;
3. The investment cycle: Investments in subsidiaries and associates; Recognition and measurement;
4. The financing cycle: bank loans and leases; Recognition and measurement;
5. The financing cycle: shareholders’ equity; Recognition and measurement;
6. Accountability and auditing.

The evaluation process in the course is carried out through two different possibilities:
1. Periodic assessment: includes carrying out a Mid-Term Test (40%) and a Final Exam (60%). The minimum attendance is 2/3 of the classes taught and the minimum grade in each assessment element is 7.5 points;
2. Exam: comprises a Final Exam with 100% weighting.
In any of the two possibilities, proof of defense of the grade is required if the final classification is higher than 16 points.

Mafalda Coutinho de Ponte

Ana Catarina Nunes

Anabela Costa

João Miguel dos Santos Araújo

At the end of the Curricular Unit, the student is expected to be able to:
LO1. Develop linear programming, integer linear programming and mixed integer programming formulations to solve decision support problems; use general software to determine solutions; characterize the solutions.
LO2. Do the economic interpretation and to give managerial recommendations based on the obtained solutions and sensitivity analysis.
LO3. Differentiate network models and choose the one that allows solving a given decision support problem; develop network models and apply the appropriate methodologies to solve them.
LO4. Draw the network representation of a project; perform time and economic analysis; solve time, cost and resource management problems.

PC1. LINEAR PROGRAMMING AND INTEGER LINEAR PROGRAMMING
1.1. Linear programming formulations
1.2. Optimization software
1.3. Economic interpretation and sensitivity analysis
1.4. Integer and mixed integer linear programming formulations
1.5. Applications of linear and integer linear programming
PC2. NETWORK MODELS
2.1. The minimum spanning tree problem
2.2. The shortest path problem
2.3. The maximum flow problem
2.4. The minimum-cost network flow problem
2.5. Applications of network models
PC3. PROJECT MANAGEMENT
3.1. Draw of AOA and AON networks
3.2. Time analysis: CPM and PERT
3.3. Economic analysis
3.4. Resource management
3.5. applications of project management

Assessment throughout semester:
i) Group coursework: 20% (groups of 5 students; oral discussion may be required);
ii) Intermediate Test: 30%
iii) Teste Final: 50% (grade >= 7,5);
iv) Average of written tests >= 8,5
iv) Minimum attendance: 2/3 of classes taught
Assessment by exam: 100%
Oral exam may be required (in both assessment methods)
Scale: 0-20 points

Anabela Costa

João Miguel dos Santos Araújo

Mafalda Coutinho de Ponte

At the end of the Curricular Unit, the student is expected to be able to:
LO1. Develop linear programming, integer linear programming and mixed integer programming formulations to solve decision support problems; use general software to determine solutions; characterize the solutions.
LO2. Do the economic interpretation and to give managerial recommendations based on the obtained solutions and sensitivity analysis.
LO3. Differentiate network models and choose the one that allows solving a given decision support problem; develop network models and apply the appropriate methodologies to solve them.
LO4. Draw the network representation of a project; perform time and economic analysis; solve time, cost and resource management problems.

PC1. LINEAR PROGRAMMING AND INTEGER LINEAR PROGRAMMING
1.1. Linear programming formulations
1.2. Optimization software
1.3. Economic interpretation and sensitivity analysis
1.4. Integer and mixed integer linear programming formulations
1.5. Applications of linear and integer linear programming
PC2. NETWORK MODELS
2.1. The minimum spanning tree problem
2.2. The shortest path problem
2.3. The maximum flow problem
2.4. The minimum-cost network flow problem
2.5. Applications of network models
PC3. PROJECT MANAGEMENT
3.1. Draw of AOA and AON networks
3.2. Time analysis: CPM and PERT
3.3. Economic analysis
3.4. Resource management
3.5. applications of project management

Assessment throughout semester:
i) Group coursework: 20% (groups of 5 students; oral discussion may be required);
ii) Intermediate Test: 30%
iii) Teste Final: 50% (grade >= 7,5);
iv) Average of written tests >= 8,5
iv) Minimum attendance: 2/3 of classes taught
Assessment by exam: 100%
Oral exam may be required (in both assessment methods)
Scale: 0-20 points

At the end of the course, students should:

LG1 - Be able to program, at a basic level, in R language using RStudio.
LG2 - Be able to distinguish between different types of data, as well as identify and apply the appropriate statistical techniques.
LG3 - Establish and perform hypothesis tests; build and estimate predictive models under uncertainty.
LG4 - Understand possible sources of error inherent to estimation procedures, as well as error mitigation techniques.
LG5 - Be able to build simple simulation models for scenario evaluation and decision under uncertainty.

S1 - R Language and Rstudio
Basic functionalities, variables and functions. Types of data. 'tidyverse' package. Data visualization with 'base' and 'ggplot' packages.
S2 - Hypothesis testing
Parametric and non-parametric tests for means and variances, goodness-of-fit, independence and normality.
S3 - Regression Models
Simple and Multiple Linear Regression. Linear Probabilistic Models, LOGIT, PROBIT, Likelihood ratios and model comparison.
S4 - Monte Carlo Simulation
Simulation concepts, scenario evaluation, bias and standard error of estimators. Simulation of portfolios of financial assets.

Periodic assessment: 1 quiz and 1 group assignment (20% each) and 1 final test (60%); average of quiz and group assignment grades of at least 7.5 points. Minimum grade of final test of at least 9 points. Final average of at least 10 points.
Oral exams for grades of at least 18 points. Students that fail to attend the oral exam will receive a final grade of 17 points.
Final Exam: grade of at least 10 points (rounded to the closest integer). Grades of at least 18 points are subject to an oral defence. Students that fail to attend the oral defence will receive a final grade of 17 points.

António Manuel Barbosa

Andrea Sofia Meireles Rodrigues

João Pedro Ruas

Ricardo Noutel de Matos Correia

Szabolcs Sebestyén

1. Understand the working of the different segments of financial markets.
2. Know how to value bonds, how to make trading decisions in the bond market, how to compute the return of a bond investment and characterize their exposure to interest rate risk.
3. Know how to analyze the efficiency, performance and risk profile of a portfolio of financial assets.
4. Identify the main sources of value for a stock and value stocks with the discounted cash-flow method.

1. Financial Markets
(a) Money market
(b) Forex market
(c) Stock market
(d) Bond market
(e) Derivatives market

2. Bonds
(a) Bond features
(b) Day count conventions
(c) Term structure of interest rates: spot and forward rates
(d) Valuation of fixed rate bonds
(e) Trading decisions on the bond market
(f) Rates of return: yield-to-maturity and realized rate of return
(g) Rating e credit risk
(h) Valuation of floating rate bonds
(i) Interest rate risk: duration and convexity

3. Asset Pricing Models
(a) Risk and return
(b) Markowitz's model
(c) Tobin's model
(d) Capital Asset Pricing Model (CAPM)
(e) Performance valuation: Jensen's alpha, Sharpe index and Treynor index

4. Stocks
(a) Gordon model
(b) Present value of growth opportunities and dividend payment policy

Students can choose between an assessment by exam or an assessment throughout the semester.

The assessment throughout the semester consists of 2 written tests. Each test has a minimum grade of 7.5 and a weight of 50% in the final grade. Passing the course depends on obtaining the minimum grade in each of the written tests and a final grade, rounded to the nearest integer, equal to or greater than 10.

In the assessment by exam passing the course depends on obtaining a grade, rounded to the nearest interest, equal to or greater than 10.

For any written test, the use of graphical calculating machines is prohibited.

Paulo Jorge Dias

Andreia Sofia Henriques Magalhães

Beatriz Cardoso Pires

Daniela Bettencourt Picanço Jorge da Fonseca

Luís Fernando da Costa Baptista

Maria Margarida Saraiva Ramos Pereira

1. To know and use the main concepts of tax.
2. To classify the income paid by companies in accordance with personal income tax (IRS) categories.
3. To apply the respective deductions at source.
4. To apply and determine the corporate income tax (IRC) value and to know its payment procedures.

5. To classify the trade operations in view of the value-added tax (VAT).

6. To understand the principal rules of determination of VAT in internal operations.

I. Introduction
Concept of tax
Similar public revenues
Types of taxes
Moments of tax obligation
Tax power and the taxpayers
Constitutional tax principles
II. IRS
Personal incidence
Gross value of each income categories
Negative delimitation of statutary incidence
Tax benefits of each income categories
Deductions at source
III. IRC
Personal incidence
Tax base
Period of taxation
Gross profits and costs (accounting and taxation)
Others patrimonial variations
Fiscal regime of subsidies
Assets depreciation and revalorization
Provisions and adjustment
Social expenses
Non deductible costs
Gains and reinvestment
Avoidance of economic and international double taxation
Tax losses deduction
Rates of IRC
Fiscal transparency regime
IV. IVA
Characteristics
Tax incidence
Tax benefits
General rules to locate operations
Tax value determination
Rates of VAT

The continuous evaluation must consist of the following:
-Students must attend 66% of classes
-An oral group presentation on a theme, counting as 15% of the final grade;
-An individual intercalary test, counting as 35%;
-A global and individual examination/test, counting as 50% of the final grade ;
-A minimum score of 7.5 values in all these components.
Students in final assessment will only have one final exam.
There will be an oral exam for students who had a grade superior to 16.

Paulo Bento

Isabel Caetano

At the end of the course, each student should be able to:
1 – Understand what corporate entrepreneurship is and explain how vital it can be for the success of companies, particularly in increasingly turbulent environments.
2 – Critically analyze the need for companies to incorporate entrepreneurial characteristics through the main pillars of their architecture: culture, leadership, structure and strategies.
3 – Exemplify the main benefits and obstacles for the company to develop an entrepreneurial mentality among its human resources.
4 – Develop an organic new business project as a team (with adherence to reality).

1 - Introduction
2 - Entrepreneurial Arquitecture
3 - Entrepreneurial Human Resources
4 - Internal Corporate Venturing

1 THROUGHOUT THE SEMESTER
1.1 INDIVIDUAL - 35%:
1-1-1 Competent participation and attendance - 15%
1.1.2 Individual written test (minimum 9.5/20) - 20%

1.2 IN A GROUP - 65%:
1.2.1 Presentation and discussion (minimum 9.5/20) - 15%
1.2.2 Report (minimum 9.5/20) - 50%

2 EXAM
Individual written exam (minimum 9.5/20) - 100%

1. To understand the main goals of Human Resources Management and to explicit their integration with General Management
2. Define the main characteristics of planning, recruitment, selection and socialization of new employees;
3. To know the main defining elements of Training, Career and Performance Evaluation policies;
4. Apply the main concepts of Compensation and Conditions of Service to HRM ;
5. Apply theoretical concepts of HR on the analysis of managerial and economic contexts

1.Introduction to HRM (Human Resource Management)
1.1. What is HRM and its importance
1.2. Evolution of HRM
1.3. The 4.0 Revolution
1.4. Current HRM

2. Themes Shaping Contemporary HRM
2.1. Globalization
2.2. Outsourcing
2.3. Offshoring
2.4. Demographics, Aging, and Immigration
2.5. Diversity
2.6. Equality of Opportunities and Inclusion
2.7. Telework and Independent Work
2.8. Sustainability

3.Key Activities and Processes in HRM
3.1. Job Analysis and Design
3.2. HR Planning
3.3. Recruitment and Selection
3.4. Training and Development
3.5. Performance Management
3.6. Careers
3.7. Remunerations and Rewards, and Labor Relations
3.8. Health and Safety at Work

1. Periodic evaluation:
- Final test 75%
- 2 group works 25%
For approval in periodic evaluation, each evaluation element must have a minimum score of 7.5v and final evaluation with a score greater than or equal to 9.5v.
Students excluded from the periodic evaluation will be able to carry out a final evaluation (100%).
2. Final Evaluation:
final evaluation 100%

Leandro Ferreira Pereira

Eduardo Correia

Paulo Bento

Renato Lopes da Costa

Álvaro de Borba Cruz Lopes Dias

1. To provide students with the theoretical tools needed to prepare and evaluate an investment project, including the decision option to invest.
2. To prepare students to collect and deal with the required and relevant information for an investment project - qualitative and quantitative - making use of the available sources.
3. To apply to a specific investment project in a correct, detailed and rigorous way, methodologies of preparation and evaluation of projects needed for an investment decision.

1. Context Analysis
2. Solution Proposal
3. Governance Model
4. Economic and Finance Plan
5. Business Model Canvas

The evaluation process has two models. Continuous evaluation and Exam:
Continuous Evaluation
Group Evaluation: 60%
- Milestones: 10% / each (x5)
- Academic Shark Tank: 10%
Individual Evaluation: 40%
- Group Dynamics: 5% (x4)
- Individual Discussion: 20% (minimum of 8 points)
Exam (special status only): 100% (minimum 10 points)

João Vilas-Boas

Carlos Hernandez Jerónimo

Ulpan Tokkozhina

LG1: Describe the basic concepts of operations management and align operations strategy options with corporate strategy;
LG2: Select the most appropriate processes to support the products and services that satisfy customers? needs, as well as their special organization;
LG3: Plan and control of the resources needed by the processes and assure availability of resources and other materials needed to satisfy customers? needs.

I - Introduction
S1: Introduction to Operations Management
S2: Operations Performance and Strategy.
S3: The Structure and Scope of Operations
II - Designing the Operation
S4: Process Design.
S5: Layout and Flow.
III - Planning and control
S6: Capacity Management
S7: Inventory Management
S8: Theory of Constraints
S9: Supply Chain Management
S10: Lean Systems
S11: Quality Management

There are two ways of assessing the CUs:

OPTION 1: assessment throughout the semester
This option involves two assessment instruments:
1. mid-term test (written test, individual) - 40%
2. Final test (written test, individual) - 60%
Students must obtain a minimum mark of 8 in the mid-term and in final tests to pass the course. The final pass mark is 10 marks or more.

OPTION 2: assessment by exam
Written test at the end of the semester (written test, individual) - 100%
Pass is obtained with a mark of 10 or more.

At the end of the Curricular Unit, the student is expected to be able to:
LO1. Develop linear programming, integer linear programming and mixed integer programming formulations to solve decision support problems; use general software to determine solutions; characterize the solutions.
LO2. Do the economic interpretation and to give managerial recommendations based on the obtained solutions and sensitivity analysis.
LO3. Differentiate network models and choose the one that allows solving a given decision support problem; develop network models and apply the appropriate methodologies to solve them.
LO4. Draw the network representation of a project; perform time and economic analysis; solve time, cost and resource management problems.

PC1. LINEAR PROGRAMMING AND INTEGER LINEAR PROGRAMMING
1.1. Linear programming formulations
1.2. Optimization software
1.3. Economic interpretation and sensitivity analysis
1.4. Integer and mixed integer linear programming formulations
1.5. Applications of linear and integer linear programming
PC2. NETWORK MODELS
2.1. The minimum spanning tree problem
2.2. The shortest path problem
2.3. The maximum flow problem
2.4. The minimum-cost network flow problem
2.5. Applications of network models
PC3. PROJECT MANAGEMENT
3.1. Draw of AOA and AON networks
3.2. Time analysis: CPM and PERT
3.3. Economic analysis
3.4. Resource management
3.5. applications of project management

Assessment throughout semester:
i) Group coursework: 20% (groups of 5 students; oral discussion may be required);
ii) Intermediate Test: 30%
iii) Teste Final: 50% (grade >= 7,5);
iv) Average of written tests >= 8,5
iv) Minimum attendance: 2/3 of classes taught
Assessment by exam: 100%
Oral exam may be required (in both assessment methods)
Scale: 0-20 points

Luís Oliveira

Mohamed Azzim

1. Financial Analysis of Investment Projects, comprising capital budgeting, forecasting cash flows, and criteria such as Payback Period, NPV, IRR) and Profitability Index.
2. Robustness Analysis of a project, identifying its drivers, through a series of complementary tests.
3. Identify the main Types of Financing for a project.
4. Establish a relationship between Valuation of a project and its Capital Structure.
5. Knowledge of the main methods of valuation of Companies, such as the Discounted Free Cash Flow (FCFF, FCFE), Multiples, and Economic Value Added (EVA, MVA).
6. Understand what is meant by cash management and identify sources and uses of short term funds. Understand the financial impact of working capital decisions

I - The Capital Budgeting Decision
1. Cash Flow Estimation.
2. Criteria for Investment Selection.
3. Choosing among projects with Different Lives.
4. Sensitivity Analysis, Scenario Analysis, Breakeven Analysis.
5. Decision Tree Analysis.

II - Long-Term Types of Financing
1. Equity
2. Debt

III - Capital Structure
1. The Irrelevance of Capital Structure
2. Capital Structure with Corporate Taxes
3. Limits to the Use of Debt
4. Valuation of Real Investment Projects with Debt

IV - Valuation of Companies
1. Discounted Cash Flows
2. Economic Value Added
3. Market Multiples

V - Cash Management
1. Short Run financial management
2. Short Term Financial Investments
3. Sources of Short Term Financing

Each student should acquire analytical and communication skills, according with the established learning outcomes. The acquisition of these skills will use the following learning methodologies:
1.Expositional, presentation of the theoretical reference frames
2.Participative, analysis and resolution of application exercises analysis of case studies, and reading texts
3.Active, realization of individual/group works
4.Self study and autonomous work, as is contemplated in the class planning.

1) Assessment during the academic semester:
- 1 mid-term test (40%)
- 1 final test (60%)

Students that opt to be out ot the regular grading system have two additional moments to pass each worth 100% of the final grade.

At the end of the course, students should:

LG1 - Be able to program, at a basic level, in R language using RStudio.
LG2 - Be able to distinguish between different types of data, as well as identify and apply the appropriate statistical techniques.
LG3 - Establish and perform hypothesis tests; build and estimate predictive models under uncertainty.
LG4 - Understand possible sources of error inherent to estimation procedures, as well as error mitigation techniques.
LG5 - Be able to build simple simulation models for scenario evaluation and decision under uncertainty.

S1 - R Language and Rstudio
Basic functionalities, variables and functions. Types of data. 'tidyverse' package. Data visualization with 'base' and 'ggplot' packages.
S2 - Hypothesis testing
Parametric and non-parametric tests for means and variances, goodness-of-fit, independence and normality.
S3 - Regression Models
Simple and Multiple Linear Regression. Linear Probabilistic Models, LOGIT, PROBIT, Likelihood ratios and model comparison.
S4 - Monte Carlo Simulation
Simulation concepts, scenario evaluation, bias and standard error of estimators. Simulation of portfolios of financial assets.

Periodic assessment: 1 quiz and 1 group assignment (20% each) and 1 final test (60%); average of quiz and group assignment grades of at least 7.5 points. Minimum grade of final test of at least 9 points. Final average of at least 10 points.
Oral exams for grades of at least 18 points. Students that fail to attend the oral exam will receive a final grade of 17 points.
Final Exam: grade of at least 10 points (rounded to the closest integer). Grades of at least 18 points are subject to an oral defence. Students that fail to attend the oral defence will receive a final grade of 17 points.

Maria da Conceição Figueiredo

Maria Gabriela Matias da Silva

At the end of the course, students should:

LG1 - Be able to program, at a basic level, in R language using RStudio.
LG2 - Be able to distinguish between different types of data, as well as identify and apply the appropriate statistical techniques.
LG3 - Establish and perform hypothesis tests; build and estimate predictive models under uncertainty.
LG4 - Understand possible sources of error inherent to estimation procedures, as well as error mitigation techniques.
LG5 - Be able to build simple simulation models for scenario evaluation and decision under uncertainty.

S1 - R Language and Rstudio
Basic functionalities, variables and functions. Types of data. 'tidyverse' package. Data visualization with 'base' and 'ggplot' packages.
S2 - Hypothesis testing
Parametric and non-parametric tests for means and variances, goodness-of-fit, independence and normality.
S3 - Regression Models
Simple and Multiple Linear Regression. Linear Probabilistic Models, LOGIT, PROBIT, Likelihood ratios and model comparison.
S4 - Monte Carlo Simulation
Simulation concepts, scenario evaluation, bias and standard error of estimators. Simulation of portfolios of financial assets.

Periodic assessment: 1 quiz and 1 group assignment (20% each) and 1 final test (60%); average of quiz and group assignment grades of at least 7.5 points. Minimum grade of final test of at least 9 points. Final average of at least 10 points.
Oral exams for grades of at least 18 points. Students that fail to attend the oral exam will receive a final grade of 17 points.
Final Exam: grade of at least 10 points (rounded to the closest integer). Grades of at least 18 points are subject to an oral defence. Students that fail to attend the oral defence will receive a final grade of 17 points.