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.

By the end of this course, students should be able to:

LO1. Solve linear systems. Use matrix algebra, compute determinants, while recognizing the importance and utility of these concepts for the study of linear systems. Compute eigenvalues, eigenvectors and recognize the theoretical relevance of matrix diagonalization. Identify and classify quadratic forms.

LO2. Identify multivariable real functions and work with either their analytical or graphical description. Extend the notions of limit, continuity and diferentiability to the multivariable case. Compute and interpret directional derivatives and gradient vectors.

LO3. Find local extrema of differentiable 2-variable functions at interior points. Find global extrema and extreme values of differentiable 2 (and 3)-variable functions subject to a constraint. Identify and formulate optimization problems in the multivariable context.

PC1. Linear Algebra
1.1 Linear systems: augmented matrices, Gauss elimination method, rank and classification.
1.2 Matrix algebra: sum, product and transposition of matrices. Matrix inversion.
1.3 Determinants: definition and its properties.
1.4 Eigenvalues and eigenvectors of a matrix. Matrix diagonalization.
1.5 Quadratic forms.

PC2. Multivariable Differential Calculus
2.1 Functions of 2 variables and 3 variables.
2.2 Limits and continuity.
2.3 Partial derivatives. Differentiability and linear approximations. Second-order partial derivatives and Clairaut's theorem.
2.4 The Chain Rule.
2.5 Directional Derivatives and the gradient vector.

PC3. Optimization
3.1 Local and global extrema at interior points. Critical points.
3.2 Functions of 2 variables: saddle points, Hessian matrix, Second Derivatives Test; Extreme Value Theorem and extension of the Closed Interval Method.
3.3 Functions of 2 variables and 3 variables: constrained extrema; Lagrange multipliers.

> There are two available assessment options in this course:

*(AS) Assessment throughout the semester

In this option, the student has the following assessments:

- 3 in-class mini-tests ;
- 3 out-of-class online quizzes;
- 1 final exam, either on the 1st or 2nd exam season;

The final grade is calculated to the nearest unit according to the following formula:

FINAL GRADE = 10% x MT + 15% x OQ + 75% x E

where:

- MT = arithmetic average of the highest two grades obtained among the 3 mini-tests, rounded to 2 decimal places;
- OQ = arithmetic average of all grades obtained in online quizzes, rounded to 2 decimal places;
- E = exam grade, rounded to 2 decimal places.

*(AE) Assessment by exam

In this option, the student is only assessed throught 1 final exam (the same one as in the previous assessment option), either on the 1st or 2nd exam season. The final grade is obtained by rounding the exam grade to the nearest unit:

FINAL GRADE = FINAL EXAM GRADE (ROUNDED TO THE NEAREST UNIT)


> Both assessment options are subject to certain rules: (READ CAREFULLY!)

1. The same final exams apply in both assessment options.

2. The potential final grade obtained through the AS option is only valid under the following requirements:

2.1. The student as attended, in a proactive and respectful way, 24 of the 36 classes in total;
2.2. The student obtained the following miminum grades: MT >= 10.00, OQ >= 10.00 and E >= 8.50 (refer to AS assessment);

If a student does not comply with the above requirements, then the AS option is no longer valid and the student is assessed through the AE option.

3. If a student does comply with the requirements for the AS option and if his/her potential final grade turns out to be smaller than the one which would be obtained under the AE option, then the student is automatically assessed through this last option.

> All assessments are graded in a scale ranging from 0.00 to 20.00. The student completes the course if his/her final grade is greater or equal to 10, in a scale ranging from 0 to 20.

At the end of the course, students should be able to:
1. Understand the objective of financial accounting.
2. Understand the financial statements structure and content.
3. Analyze and describe the effect of decisions and business transactions on the financial statements.

Chapter 1 - Accounting as a language of business
Chapter 2 - Financial statements
Chapter 3 - Balance sheet
Chapter 4 - Income statement
Chapter 5 - Statement of cash flows
Chapter 6 - Tanglible fixed assets
Chapter 7 - Inventory
Chapter 8 - Operations at the end of reporting year

1. Evaluation throughout the semester:
- Group work (30%)
- Final exam (70%).
Requirements:
- A minimum level of attendance is not required.
- Minimum grade of 8,5 points in the final exam is required.
Approval requires a minimum of 10 points (weighted average).
2. Evaluation by exam
- Final sitting exam (100%).
Approval requires a minimum of 10 points.

After being approved in this course, students must be able to:
LG1: Understand the relevance of management accounting in organizations;
LG2: Apply cost allocation methods;
LG3: Identify the income effects of alternative cost accumulation systems;
LG4: Apply the basis of accounting information in decision making processes.

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. An introduction to cost-volume-profit analysis
5. Joint costs
6. Cost allocation (departmental method versus activity based-costing)
7. Job costing and process costing

1. Assessment throughout the semester
- Assessment instruments:
- Two mid-term tests during the academic year;
- One written test during the assessment period, in the same day of the first period exam.
- Minimum requirements:
- Attendance to classes of at least 2/3;
- Delivery of the two mid-term tests;
- Minimum grade of 7.5 points (average of the two mid-term tests)
- Minimum grade of 7.5 points in the written test.
- The non-compliance with one of these minimum requirements will consider the student, automatically, under the assessment by exam
- Final Grade = mid-term test (25%) + mid-term test (25%) + written test (50%)

2. Assessment by exam:
- First period exam, second period exam, and special period exam: written test 100% (minimum mark for approval: 10 points).

At the end of the course, the student shall be able to:
1. Discuss the role of the organizations and managers in the society, as well as, identifying the different theories of management and their effects on the labor and on the performance of the organizations
2. Understand and analyze the effects of the business environment over the organization
3. Discuss and analyze the performance of managers from the point of view of the functions of management
4. Frame and discuss management work under the scope of innovation, social responsibility, and sustainability

S1. Managing in organizations
1.1 Organizations and management of organizations

S2. Theories of management
2.1 Rational goal models
2.2 Internal process models
2.3 Human relations models
2.4 Open systems models
2.5 The competing values framework

S3. The business environment
3.1 The competitive environment
3.2 The general environment
3.3 The stakeholder analysis

S4. Functions of management
4.1 Planning
4.2 Organizing (organizational and management structures)
4.3 Leading
4.4 Controlling

S5. Innovation in organizations
5.1 Entrepreneurship and innovation
5.2 The process of innovation

S6. Social responsibility and sustainability
6.1 Ethics
6.2 Corporate Social Responsibility
6.3 Sustainability

The assessment is twofold: Periodic and Final Exams

Periodic assessment
The periodic assessment comprises the following items:
In class oral presentation - 15%; and, group report - 20%
mid-term test - 10%
Final test - 55%;
The minimum grade for validation of the assessment, for all components, is 7.50 valores. The required attendance record is 80%.

Final exams
There are two phases of final exams at the end of the semester. The passing grade in the exam is 10 valores and it counts for 100% of the final grade.

Note:
The students who fail to pass in the periodic assessment may take the final exam of the second phase.
The students who have got a final grade of 17 valores or above, will have to submit to an oral exam. It is assured the minimum grade to be granted will be no less than 17 valores.

At the end of this course, students should have the skills to:
LG1. Describe the evolution of the Marketing concept;
LG2. Analyse the main market performance indicators;
LG3. Identify methods for gathering information about the consumer;
LG4. Develop a portfolio analysis with an external and internal vision of the organization;
LG5. Develop a SWOT analysis;
LG6. Identify target markets and define a positioning strategy;
LG7. Identify marketing-mix politics.
LG8. Identify future trends in marketing.

P1. Evolution of the Marketing concept
P2. Marketing Plan
P2.1. Plan components and control
P2.2.Organizational structure
P3. Situational Analysis (offline and online)
P3.1. Market
P3.2. Consumer behaviour
P3.3. Market intelligence
P3.4. Competition analysis
P3.5. Company analysis
P3.6. Portfolio analysis
P3.7. SWOT analysis
P4. Segmentation and Targeting
P5. Positioning
P6. Marketing-mix (offline and online)
P6.1.Product
P6.2. Price
P6.3. Placement
P6.4. Promotion
P7. Future Trends in Marketing
P7.1 Digital Transformation
P7.2 The Role of Generative Artificial Intelligence in Marketing
P7.3 The Role of Marketing for a Sustainable Future

Assessment throughout the semester: Individual participation in class (15%); Individual discussion of the workgroup project: (20%); Workgroup report (10%); individual case studies (15%); Final individual exam (40%). Minimum grade in any of the components: 8 points. Minimum final grade: 10 points for final approval. Attendance to classes of at least 2/3 (less will exclude students from this evaluation scheme). Failure in the assessment throughout the semester will lead to two additional moments to pass, each worth 100% of the final grade.
A final above 16 may imply an additional oral examination.

With this curricular unit the student should be able to:
1. Describe the variables and the formulas needed to construct a calculation model;
2. Use basic features of a spreadsheet;
3. Use functions for building models in a spreadsheet;
4. Construct advanced models applied to management in a spreadsheet;
5. Compute automatic procedures with the use of VBA.

The main issues to be addressed are:
1. Introduction to spreadsheets
2. Model construction
3. Information extraction
4. Introduction to Visual Basic for Applications

Assessment throughout the semester:
- Group work (40%) - Project made by a group of students. Mandatory, no minimum score.
- Individual Test (60%) - Written test, mid-term, scheduled online via e-learning and support by Zoom. Mandatory, with a minimum score of 8 (in 20).
Final exam (100%):
- Individual written exam, without consultation, encompassing the entire syllabus.
Takes the final exam - in season 1, 2 or special (according to the pedagogical rules) - who has not concluded the assessment throughout the semester successfully, with an average score greater than or equal to 10 (out of 20).

At the end of the course the student will learn:
LG1. The concept of the derivative as a special type of limit and an essential tool to solve problems such as rates of change, optimization or approximation of functions by polynomials
LG2. The definite integral and its connection to differential calculus; the integration methods that allow integrating simpler functions, but also more complex functions; how to use the integral to, for instance, calculate areas between curves
LG3. What a differential equation is and its importance in mathematical modeling; to solve separable equations and to know about its application to population growth models
LG4. Series and their convergence; how to determine the convergence of geometric series, as well as use them to solve some real problems; the importance of series in the representation of functions as sums of infinite series and analyze phenomena by substituting a function for the first terms of the series that represents it.

CP1. Derivatives
Derivatives; the derivative as a function; the Chain Rule; implicit differentiation; inverse functions and their derivatives; linear and quadratic approximations; Taylor polynomials; applications of differentiation (rates of change in the Natural and Social Sciences, the Mean Value Theorem, L'Hôpital's rule)

CP2. Integrals
Introduction to integrals; antiderivatives; integration techniques; the definite integral, the Fundamental Theorem of Calculus and indefinite integrals; applications of integration (areas between curves, average value of a function, applications to economics)

CP3. Differential Equations
Modeling with differential equations; separable equations; models for population growth

CP4. Series
Sequences and series; geometric series and some convergence tests; applications of series in economics and finance

There are two grading schemes:

1. Assessment throughout the semester:
- Minimum attendance: presence in at least two-thirds of the classes.
- 3 in-class mini-tests (10%), with the following rules:
* performed during theoretical classes throughout the classes period;
* the final grade for this component will consider the 2 highest grades out of the 3 mini-tests (each contributing 5%);
* a minimum grade of 10.0 points (out of 20) in the average of the best two mini-tests is required.
- 3 online quizzes (15%), with the following rules:
* submitted on the Moodle platform during the classes period;
* the final grade for this component will be the average of the obtained scores (each contributing 5%);
* a minimum average score of 10.0 points (out of 20) from the three quizzes is required.
- Final test (75%): written test performed in the 1st or 2nd examination period, with minimum grade of 8.50 points (out of 20).

2. Exam Assessment: A final written Exam (with a weight of 100%), in the 1st or 2nd examination period.

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).

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. 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 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. 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.

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).

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).

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

S1. LINEAR PROGRAMMING AND INTEGER LINEAR PROGRAMMING
1.1. Linear programming formulations
1.2. Optimization software
1.3. Economic interpretation and sensitivity analysis
1.4. Linear integer and mixed integer linear programming formulations
1.5. Applications of linear and integer linear programming
S2. NETWORK MODELS
2.1 Network elements
2.2. The minimum spanning tree problem
2.3. The shortest path problem
2.4. The maximum flow problem
2.5. The minimum-cost network flow problem
2.6. Applications of network models
S3. 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 or Assessment by exam.
Assessment throughout semester:
i) Group coursework:
• Weight of 20% in final grade
• Groups of 4 students
• Oral discussion may be required;
ii) Individual Intermediate Test:
• Weight of 30% in final grade;
iii) Individual Final Test:
• Weight of 50% in final grade
• Minimal grade required 8.5;
iv) Weighted average for tests: at least 8.5;
v) Minimum attendance: 2/3 of classes taught
Assessment by exam: 100%

An Oral discussion may be required (for Assessment throughout semester and Assessment by exam)

Scale: 0-20 points.

1. Understand the importance and role of Retailing Management
2. Identify the types of retailers and its characteristics, especially in Portugal
3. Understand strategic options in retail
4. Solve problems of retail location
5. Understand the process of merchandise management
6. Identify the main challenges in store management.

1. Retailing Management
. Introduction to the retailing
. Types of retailers;
. Retailing in Portugal (and Europe)
. Multichannel retailing;
. Customer buying behavior;

2. Distribution Channels Theory

3. Retailing Strategy;
. Building competitive advantage
. Setting and measuring performance objectives;
. Retail Location;
. Customer service;
. Retail Internationalization

4. Merchandise Management
. Managing merchandise management
. Merchandise planning systems;
. Retail pricing;

5. Store management
. Store activities;
. Layout, design and presentation techniques;
. Customer service;
. B2C on-line store

Continuous assessment: 1. Participation in class (10%) 2. Work groups - short cases (20%) 3: Work groups - comprehensive cases (10%) 4. Intermediate individual test (closed book) (10%) 5. Final individual test (50%) (closed book). Approval is obtained with five components weighted average equal to or greater than 10 in 20 and a minimum 8 in each component
End-of-term exam (100%) (closed book) Weight: 100%. A negative evaluation(unsuccessfully) means less than 10 in 20.

LG1: Control the resources needed by the processes
LG2: Plan the utilization of resources needed by the processes to satisfy customers' needs
LG3: Plan operations to ensure the efficiency of processes

S1: Inventory management
S2: Aggregate planning
S3: Production and material planning
S4: Scheduling
S5: Just in Time and Lean systems
S6: Quality Management

During the term the following methodologies will be used:
- Traditional / lectures for presentation of theoretical frameworks.
- Participatory methodologies in the analysis and solution of exercises.
- Participatory methodologies in the analysis and discussion of case studies, and other supporting texts.
- Active methodologies in the analysis of a case study in the written individual project.
- Self-study.

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OPTION 1:
Assessment throughout the term (Requires attendance > 80%):
1. Individual assessment - 20%
2. Group work - 30%
3. End-of-term individual assessment - 50%
The passing grade is 10 points, with at least 8 points (out of 20) in each evaluation element.

OPTION 2:
End-of-term exam - 100%.
A passing grade means 10 points or above (over 20).

At the end of this learning unit, the student must be able to (LG):
LG1: Differentiate and relate the phases of the software development life cycle
LG2: Analyse, design and develop information systems in an innovative context
LG3: Assess and argument the use of an information system typology and associated data model
LG4: Create mechanisms of exploration and analysis of data in relational and dimensional models
LG5: Develop collaborative and investigative skills in a project team context

S1.: Information Systems Development Context - The Efficiency and the Effectiveness Issues
S2.: Modelling Information Systems - Unified Modelling Language (UML)
S3.: Information Systems Development
S4.: Information Systems for Decision Support and Data Exploitation
S5.: Project management of the course unit

Assessment by exam (1st Period, 2nd Period, and Special Period) :
* Written test (100%).
- Approval: grade >= 10 points

Assessment throughout the semester:
* Two individual written tests without consultation - mid-term assessment (20% + 20%);
* Group work with discussion - work delivered in stages throughout the semester and discussed at the end of the semester (50%);
* Quizzes and class participation (10%).

- Approval: Final classification >=10 points; and Average of individual written tests >= 8 points.
- Failure to attend the discussion implies canceling the group work as an assessment item.
- The final grades of group work will depend on each student's performance in the discussion and may vary between 0 (zero) and 20 points.
-The written test in the first period can be taken to retake the grade obtained in the interim written tests.

LO1: Understand the basic concepts of operations management and align operations strategy options with corporate strategy;
LO2: Design and assess the products and services that will satisfy customers´needs in a competitive environment and the processes required to produce them;
LO3: Plan and control the system´s capacity according to demand forecasts.

S1: Introduction to operations
S2: Operations´ performance and strategy
S3: Process design and analysis
S4: Supply network design
S5: Layout and flow
S6: Capacity, demand and constraints management
S7: Sustainability in operations

OPTION 1:
Assessment throughout the term (Requires attendance > 80%):
1. Individual work - 20%
2. Group work - 30% (5%+25%)
3. End-of-term written test, individual - 50%

Passing grade is 10 points, with at least 8 points (out of 20) in each element and a weighted average of 10.

OPTION 2:
End-of-term written exam, individual - 100%.
A passing grade means 10 points or above (over 20).

By the end of this course students should be able to:
LG1.: Identify components and draw the logistical system, identifying physical and information flows;
LG2.: Identify and describe the logistical activities of an organisation;
LG3.: Describe and explain the logistical attributes;
LG4.: Identify ways to improve customer value from a logistical perspective;
LG5.: Identify the benefits and faults of centralised and decentralised purchasing and delivery options;
LG6.: Utilize models to locate logistical facilities;
LG7.: Estimate the most adjusted dimension for a logistical facility;
LG8.: Develop warehouse layouts;
LG9.: Classify and locate the products stored in a warehouse;
LG10.: Identify and describe the different equipment in a warehouse;
Lg11.: Describe how JIT, QR and CPFR approaches work;
LG12.: Compare and choose the most appropriate transportation mode;
LG13.: Determine the most efficient routs.

S1.: Basic concepts on logistics and logistics management: value, attributes, flows, activities, process;
S2.: Customer service and logistical contribute to customer service;
S3.: Purchasing and delivery: centralization and decentralization;
S4.:Facility location;
S5.: Facility dimension;
S6.: Warehouse layout and equipment;
S7.: JIT, QR, and CPFR approaches;
S8.: Design and management of the transportation system.

Evaluation throughout the semester
Solve small exercises and questions in class - 15%
Group assignment (report + presentation + final discussion) - 35%
Final test - 50%

In order to get approval, students must score, at least, 8 points (over 20) in both the group assignment and the final test.
Minimum passing grade: 10 points.

Final exam
Final exam - 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 Human Resource Management
2. HRM, general management and performance
3. Current trends and the future of work
4. HRM processes and activities
4.1 Analysis and description of functions
4.2 HR planning
4.3 Recruitment and selection
4.4 Welcoming, integration and socialization
4.5 Training
4.6 Performance management
4.6 Careers
4.7 Wages and salary rewards

1. Periodic evaluation:
- Final test 70%
- group work 30%
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%

By the end of this course students should be able to:
LG1: Understand the evolution of technology and the importance of technological systems and its impact in society, in organizations and in people.
LG2: Describe organizations and processes - for the production of tangible goods and the provision of services - and the role of technological systems in companies and institutions;
LG3: To understand the characteristics of an Enterprise Resources Planning system in the management of the business processes of the firm. Carry out practical exercises to use an ERP.
LG4: To apply a strategic planning approach in the scope of technological systems-
LG5: Produce an organizational model and a plan for the development of an innovative business (start-up), highlighting the organizational aspects of business and the technological systems appropriate to the strategic objectives of the company.

I. People, society and organizations: products and services
1. The Digital Transformation
2. Society and the development of technology
3. Production Processes and Technological Systems
II. Organizations and Technologies
4. Organizations, Processes and Systems
5. Technological systems - production and information
6. ERP - Enterprise Resource Planning Systems
7. Using an ERP (Primavera)
III. Strategic Management and Adoption of Technological Systems
8. The Business Strategy and Technological Systems
9. Strategic Management of Technology Systems - an operational framework
IV. Practical application
10. "Start-up" - Elaboration of a business model and technological plan (group project)
V. The Technological Systems and the Future
11. Evolution trends

Evaluation periodic:
Group assignment (report + presentation + final discussion) - 50%
Individual report (thematic or field visit) - 15%
Individual final test - 35%
In order to get approval, students must score, at least, 8 points (over 20) in every evaluation component with weight over 30%.

Final exam - 100%

On the completion of this course the student will be able to:
LO1. Model several specific logistics problems using
linear programming, integer programming and mixed integer programming formulations;
LO2. Apply some methodologies of Multi-objective Linear Programming;
LO3. Apply specialized algorithms to solve the problem under study.
LO4. Analyze the solutions obtain and to produce recommendations.

1. Introduction to Multiobjective Linear Programming
1.1. Basic Concepts;
1.2. Solving Methodologies.
2. Introduction to Heuristics
2.1 Types of Heuristics;
2.2 Solution Assessment.
3. Bin Packing Problems
3.1 Formulation in LIP;
3.2 Greedy Heuristics;
3.3 Lower Bounds.
4. Facility Discrete Location Models with and without Capacity Constraints
4.1 MILP Formulations;
4.2 Heuristics and Solution Assessment.
5. Routing Problems
5.1 Traveling Salesperson Problem (greedy heuristics, 2-optimal heuristic, lower bounds);
5.2 Capacitated Vehicle Routing Problem (Clarke and Wright’s heuristic, improving heuristics);
5.3 Arc Routing Problem (Augmented-Merge heuristic).
6. Job scheduling
6.1 Problems involving one machine;
6.2 Problems involving parallel machines;
6.3 Flow Shop and Job Shop.
7. Set Covering Problems:
7.1 LIP Formulation;
7.2 Heuristics;
7.3 Redundant Solutions and Reduction Techniques.

Assessment throughout semester or Assessment by exam.
Assessment throughout semester:
i) Group coursework:
• Weight of 25% in final grade
• Groups of 4 students
• Oral discussion may be required;
ii) Individual Intermediate Test:
• Weight of 25% in final grade;
iii) Individual Final Test:
• Weight of 50% in final grade
• Minimal grade required 8.5;
iv) Weighted average for tests: at least 8.5;
v) Minimum attendance: 2/3 of classes taught
Assessment by exam: 100%

An Oral discussion may be required (for Assessment throughout semester and Assessment by exam)

Scale: 0-20 points.

LG1: Understand, analyze, and summarize ideas about business and/or economic reality effectively
LG2: Apply statistical techniques and basic mathematics to understand the business and / or economic reality, using the statistical package SPSSLG1. Choose an appropriate graphical representation, as well as appropriate statistics to describe the data under analysis, taken into account their nature
LG2. Choose and correctly apply hypothesis tests ;
LG3. Perform Principal Component Analysis in order to reduce the dimensionality of the data;
LG4. identify and characterize groups using Cluster Analysis;
LG5. Effectively use the SPSS software.

CP1: Types of variables, Descriptive vs inductive statistics
CP2: Descriptive and exploratory data analysis: tables, graphs, measurements of location, dispersion, symmetry and kurtosis
CP3: Statistical inference: basic concepts, hypotheses, errors, power function, decision rule, parametric and non-parametric tests.
CP4: Relationship between qualitative variables: analysis of contingency tables (Chi-Square tests, ods ratio, relative risk, Cohen's kappa, ROC curve
CP5: One-Way Anova, t-tests.
CP6: Non-parametric tests: Kolmogorov-Smirnov / Shapiro Wilk; Mann-Whitney; Kruskal-Wallis
CP7: Principal Component Analysis and Cluster Analysis

The teaching-learning methodology (LM) includes three different components:
LM1: Expositional, to present the theoretical reference frames
LM2: Experimental laboratory, with development and operation of computer models
LM3: Self-study related with autonomous work done by the student, as it is contemplated in the Program Planning

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Assessment system: continuous or by exam
Continuous assessment: weekly assessment (15%) + practical component 40% (one or more instruments) + individual theoretical-interpretive component 45% (one test).
Evaluation exam: two parts (theoretical 60%+practical 40%).
Each test >=8 values. Weighted final grade, rounded to the nearest integer, must be equal to or greater than 10.

By the end of this course students should be able to:
LG1: Define the supply chain structure and identify the most adjusted strategy;
LG2: Plan supply in a supply chain;
LG3: Coordination in the supply chain.

S1: Understanding the supply chain: from logistics to supply chain management;
S2: Supply chain analysis and architecture;
S3: Supply chain integration;
S4: Strategies in the supply chain;
S5: Supply chain metrics;
S6.: Managing supply chain complexity;
S7.: Service and process integration in the supply chain;
S8.: Supply chain design - dimension and main decisions;
S9.: Supply chain risk management;
S10.: Internationalization of the supply chain.

Throughout the teaching-learning process, the following methodologies will be used:
1) Exposing, linked to the oral explanation of concepts;
2) Participative, linked to the analysis and resolution of exercises;
3) Participative, linked to the analysis and discussion of case studies;
4) Active, linked to the analysis and discussion of case studies;
5) Self-study.

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Option 1: Evaluation throughout the semester (attendance >80%)

In class participation - 10%
Final group assignment - 40%
Final test - 50%

In order to get approval, students must score, at least, 8 points (over 20) in both the group assignment and the final test.
Minimum passing grade: 10 points.

Option 2: Final exam

Final exam - 100%

Students who successfully completed the course shall be able to:

1. Assess the organizational environment identifying situations where Project Management is the right approach, and the project's critical success factors.

2. Initiate and plan a project for a successful result, in accordance with customer's specifications, on time and on budget.
3. Control a project effectively using the Earned Value Management (EVM) methodology and take the appropriate steps to close a Project.
4. Recognize the importance of human factors in Project Management.

1.The discipline of Project Management.
.Concepts and definitions.
.Projects and operations.
.Project management.
2.Critical Success Factors for projects.
.Reports on projects performance.
.Different perspectives about success and failure.
.Critical Success Factors.
3.The Project Environment: Strategy, Organisation and Projects.
.Organisations and projects.
.The Project Life-cycle.
.PMBOK 2008.
4.The Human Side of Project Management.
.Leadership in projects.
.Working in Teams.
.Time management.
.Negotiation and conflict management.
5.Project Initiation.
.The Project Stakeholders.
.The Project Charter.
6.Project Planning: Scope, Time and Resources, Risk, and Cost.
.Planning methodology.
.SMART Objectives.
.Planning activities.
.Planning time and resources.
.Planning cost.
.Planning risk.
7.Project Control.
.The control process.
.Earned Value Management.
.The Project Information System.
8.Project Closure.
.Lessons Learned

OPTION 1
Assessment along the term:
1. 10% Involvement in class activities (AW=33 hr)
2. 40% Individual assignment (AW=15 hr) + Group assignment (AW=15 hr)
3. 50% End-of-term exam (AW=48+2 hr)
Students pass with a weighted average of 10 or above with 8 or above in the two first components and 10 or above in the third

OPTION 2 (End-of-term exam)
A positive evaluation with 10 or above

Students covered by Special Statute must contact the course responsible during the 1st course week

At the end of the course, each student should have acquired the necessary competences to:
1. Carry out the fundamental analyses required to make strategic choices
2. Assess the strategic options available to companies at the business and corporate levels and the benefits and risks associated with each
3. Understand the importance strategy implementation and control
4. Justify the importance of considering the ethical, social and environmental impact of company decisions
5. Discuss current issues and considerations in strategic management

1. Basic Concepts
2. Strategy Formulation - vision, mission and values
3. Ethics, CSR and Sustainability
4. The Resource Based View and Dynamic Capabilities
5. The External Environment (macro, industry and competitor analyses)
6. Choice of competitive strategies
7. Choice of corporate strategies
8. Implementation
9. Strategic Control & Balanced Scorecard
10. Corporate Governance
11. Current issues in strategic management

Option 1 (Assessment throughout the semester)
-50%: Individual Final Test
-25%: Group work (application of course content to a company)
-25%: Individual assignment (reflection on the simulation game)

To Pass: weighted average of 10 marks or higher; the assessment in any of the components cannot be lower than 8 marks.

Minimum attendance: 75% of classes

Option 2 (Final exam)

To Pass: 10 marks in the final exam.

By the end of this course students should be able to:

(LG 1) Understand the concepts of Enterprise Architecture and Business Process Management (BPM) as well as their impact in business performance.
(LG 2) Discovery - document business processes at different levels of detail using contemporary business process modelling techniques (BPMN).
(LG 3) Analysis - apply qualitative and quantitative techniques to analyse the performance of business processes and assess the impact of business process changes.
(LG 4) Redesign - identify and analyse business improvement opportunities based on business process models
(LG 5) Automation - use IT effectively to build process automation solutions (BPMS, ERP) that accomplish the benefits of process improvement

1. The role of BPM
2. Process Identification
- Focusing on Key Processes
- Designing a Process Architecture
3. Essential Process Modelling
- First Steps with BPMN
- Branching and Merging
- Information Artefacts and Resources
4. Advanced process modelling
- Decomposition
- Reuse
- Handling events
- Handling exceptions
- Business rules
5. Process Discovery
- The Setting of Process Discovery
- Discovery Methods
6. Qualitative process analysis
- Value added analysis
- Root cause analysis
- Issue documentation and impact assessment
7. Quantitative process analysis
- Performance measures
- Flow analysis
- Simulation
8. Process redesign
- The essence of process redesign
- Redesign heuristics
9. Process Automation
- Challenges and advantages of introducing a BPMS / ERP
- Turning process models executable

A: Assessment throughout the term.
1. Mini-test + class contribution - 20%
2. End-of-term group project - 50%.
3. Individual final test - 30%.

At least 8 points (out of 20) in the Mid-term individual test and in the End-of-term group project.

(or) B: Evaluation only at the end of the term.
End-of-term exam with questions and applied exercise - 100%.

A positive evaluation requires a grade of 10 or above (over 20).

In both alternatives is recommended the students to complete the online course that is suggested.

By the end of this course students should be able to:
LO1 - Identify specific situations that can be improved, in the real context of an organization;
LO2 - Identify and analyse the reasons that lead to the identified situations;
LO3 - Develop specific actions to improve the identified situations;
LO4 - Develop an implementation plan with the identifies improvement actions and, if possible, implement that plan.

S1 - Frame students in the organization;
S2 - Develop the project (monograph with the frame of the project)

The course's only assessment is the realization of the project in the company.
The final grade is based on the following components:
- Pre-project (group or individual, depending on the nature of the project): 5%
- Project report (group or individual, depending on the nature of the project): 60%
- Project development process, including performance during the sessions at ISCTE and in the company (individual): 35%
Minimum grade in each component: 9.5 points

LG1: Analyse the quality management system with a view to its integration and its development
LG2: To apply the techniques of quality management as a management tool
LG3: To identify and apply techniques and tools for the measurement, analysis and improvement of organisations
LG4: To define, implement and audit the quality management system according to the specific requirements of each organisation.

1. Quality concepts.
2. Portuguese Quality System/European Quality System Certification of Quality Management Systems.
3.Architecture of Quality Management Systems (NP EN ISO 9001:2015)
4.Mapping Processes and identifying KPI's
5. Quality Tools and Techniques
6. Total Quality Programs. E.F.Q.M. Model
7.Quality Evaluation Self-Assessment, Quality Costs, Quality Audits
8.Process mapping Vs. The Value Chain
9.Challenges of Quality Management in the XXI Century

OPTION 1
Continuous assessment:
1.Attendance (min.80%)
2.Final group work (40%)
3.Written individual exam (60%)
Mininum grade of 10 (weighted average of the components), with a mininum grade of 8/each

OPTION 2
Exam:
(Who didn`t get a positive grade by Option 1 or decided by final exam)
Written individual exam.
Mininum grade of 10
(Scale of 0 up to 20 for both options).