Cláudio Pais

At the end of the course unit, each student should be able to:
LA1: Explain the role of financial accounting in the organizational context and in supporting management decision-making;
LA2: Identify and describe the elements and structure of the main financial statements;
LA3: Analyze the impact of investment, financing, and operational decisions on the different financial statements;
LA4: Apply the criteria for recogn., measurem., and derecogn. to assets relevant to business activities.

1 – ACCOUNTING AS THE LANGUAGE OF BUSINESS
Business and activities; Stakeholders; Role of accounting; IFRS vs SNC
2 – FINANCIAL STATEMENTS
Full set; Purpose and inform; Integrated view; IFRS vs SNC
3 – STATEMENT OF FINANCIAL POSITION
Elements and recogn. criteria; Structure, inform and transact.; IFRS vs SNC
4 – STATEMENT OF PROFIT OR LOSS AND OTHER COMPREHENSIVE INCOME
Elements; Structure, inform and transact.; Accrual basis; Revenue; IFRS vs SNC
5 – STATEMENT OF CASH FLOWS
Elements, structure and transact.; IFRS vs SNC
6 – PROPERTY, PLANT AND EQUIPMENT (PPE)
Concept and classification; Initial and subsequent recogn. and measurem.; Derecogn.; VAT impact; IFRS vs SNC
7 – INTANGIBLE ASSETS
Concept and classification; Initial and subsequent recogn. and measurem.; Derecogn.; VAT impact; IFRS vs SNC
8 – INVENTORIES
Concept and classification; Initial and subsequent recogn. and measurem.; Derecogn. and costing of outputs; VAT impact; IFRS vs SNC

The assessment process in this course unit is carried out through two distinct modalities, in accordance with the current Academic Regulations:
Assessment throughout the semester: includes three assessment instruments — a set of four (4) online mini-tests (15%, individual), one group assignment solved in class (15%), and a final test (70%). A minimum grade of 8.5 (out of 20) in the final test is required for approval. Students must attend at least two-thirds of the classes to be eligible for approval under this modality.
Final exam assessment: consists of a final exam with a weighting of 100%.
For all assessment purposes, the General Regulation for the Assessment of Knowledge and Skills (RGACC), the Regulation for Students with Special Status (REEE), and the Iscte Academic Code of Conduct shall apply.

Fábio Guerra Gomes

João Francisco Baptista Colaço Sobral do Rosário

Maria Dinis Mineiro

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.

Felipa Dias de Mello Sampayo

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 quizzes, each having a weight of 20%;
- Participation in class, including problem set resolution (10%); a minimum attendance level of 75% is required for exercise classes.
- 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).

By the end of this course, students should:
LO1. Master vector and matrix language, using it to solve and classify systems of linear equations; calculate, interpret, and apply matrix determinants; calculate and interpret eigenvalues ​​and eigenvectors; diagonalize matrices; and apply these tools to classify quadratic forms.
LO2. Understand different perspectives for studying functions of more than one variable (descriptive, numerical, algebraic, and graphical), as well as the fundamental concepts of limit, continuity, and differentiability of these functions. Acquire familiarity with the calculation of partial derivatives and recognize the differences compared to calculations with functions of a single variable.
LO3. Recognize and solve optimization problems, both unconditioned and conditioned, involving functions of more than one variable; recognize and formulate a linear optimization problem and graphically determine its optimal solution, in the case of two variables.

PC1. Linear Algebra
- Systems of linear equations: Gaussian elimination. Classification of systems.
- Matrices and matrix algebra: Properties. Linear dependence and independence. Characteristic of a matrix. Gaussian elimination.
- Determinants: Definition, properties, and utility. Matrix inversion.
- Eigenvalues ​​and eigenvectors. Diagonalization.
- Quadratic forms.
PC2. Functions of more than one variable
- Functions defined in R^n.
- Limits and continuity. Partial derivatives.
- Tangent planes and linear approximations. Differentiability.
- The chain rule. Implicit differentiation.
- Directional derivatives and the gradient vector.
PC3. Optimization in R^n
- Free extrema in R^n: Local and absolute extrema. Hessian matrix.
- Constrained extrema in R^n: Lagrange multipliers.
- Linear programming: Graphical method. Economic interpretation.

Students may choose one of the following assessment methods:

(AS) Assessment throughout the semester, consisting of:
- 4 in-person mini-tests (20%), with the following rules:
- administered in class throughout the semester;
- The three best scores obtained in the four mini-tests (contributing 1/3 each) will be used to calculate the final grade in this component;
- Minimum score of 10.0 points based on the arithmetic average of the three best mini-tests.
- Final test (80%): written test administered in the first or second exam period, with a minimum score of 8.50 points.

(AE) Assessment by exam: written test (weighted 100%), administered in the first or second exam period of the assessment period.

1. The minimum passing grade for the course is 9.50 points, rounded up to a final grade of 10 points.
2. The Final Test and the Exam occur simultaneously, covering all the material.
3. A student will be excluded from the Assessment throughout the semester method and will automatically be transferred to the Assessment by Exam method if they obtain a grade lower than 10.0 on the average of the three best mini-tests.
4. If the grade obtained in the 1st or 2nd exam is higher than the Assessment throughout the semester method, the method automatically switches to Assessment by Exam method. (That is, the better of the two grades will count.)
5. Assessment during the special exam period only includes Assessment by Exam method.
6. Reseating students are subject to the same assessment methods, subject to the same rules.

Jorge Miguel da Rocha

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

Students may choose one of the following assessment methods:

- (AS) Assessment throughout the semester:
- 4 in-class mini-tests (20\%), with the following rules:
- performed during theoretical classes throughout the classes period;
- the final grade for this component will consider the 3 highest grades out of the 4 mini-tests (each contributing 1/3);
- a minimum grade of 10.0 points (out of 20) in the average of the best three mini-tests is required.

- Final test (80%): written test performed in the 1st or 2nd examination period, with minimum grade of 8.50 points (out of 20).

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


1. The minimum passing grade for this course is 9.50 points (out of 20), rounded to a final grade of 10 points.

2. The Final Test and Exam occur simultaneously, covering the entire course material.

3. A student is excluded from the Assessment throughout the semester modality, automatically switching to the Exam Assessment modality, if the average of the three quizzes or the average of the best two mini-tests is less than 10.0 points (out of 20).

4. If the grade obtained in the Final Exam is greater than the grade obtained in the Assessment throughout the semester, then the modality automatically switches to Exam Assessment. (That is, the best of the two grades is the one that prevails.)

5. Evaluation during the special season (“época especial”) is performed exclusively through the
Exam Assessment modality.

6. Repeating students have the same assessment modalities, subject to the same rules.

7. Students may have to undertake an oral examination whenever the instructor deems it necessary.

Pedro Miguel de Oliveira

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%) - Individual written test without consultation, encompassing all the syllabus, to be held on the date of the 1st season. Mandatory, with a minimum score of 8 (in 20).
A minimum attendance of 75% in classes is also required.

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).

Jonas Oliveira

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.
LG5: Explain the role of budgeting within the process of planning and the relationship between the long-range plan and the budgeting process.

1. Aims of management and cost accounting
2. An introduction to cost terms and purposes
3. Alternative cost accumulation systems, income and inventoryeffects
4. An introduction to cost-volume-profit analysis
5. Cost allocation
6. Job costing and process costing
7. Budgeting process and management control

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.

Álvaro Augusto da Rosa

Inês Vieira Godinho Medeiro Patrão

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.

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%).

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

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

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

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

LO1. 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%).

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.

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

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 for the course unit Skills for the Labour Market aims to evaluate students’ development of key competences essential for a successful transition into the world of work.

Assessment throughout the semester is structured around two main thematic strands, each addressing critical aspects of the job search process and professional development:

Thematic strands:
Block 1 – Self-awareness and professional profile preparation:
- Identifying professional skills, interests, and values
- Self-assessment tools and skills portfolio development
- Drafting a Curriculum Vitae and cover/motivation letter

Block 2 – Navigating the labour market
- Current trends and dynamics of the labour market
- Digital platforms and professional networking
- Simulation of job interviews and group assessment exercises

Assessment components and weighting:
Assessment throughout the semester includes three main components, with a strong focus on applied skill development:
1) Individual Portfolio (60%)
Includes: a) Career plan; b) CV and cover letter; c) Professional profile creation; d) Final reflective report.
Objectives: To identify strengths and areas for development, including technical and interpersonal skills; to prepare a clear, concise, and targeted CV and cover letter tailored to specific vacancies; to create a complete and professional online profile; and to devise strategies for expanding and diversifying a professional network aligned with career goals.

2) Group Simulation (30%)
Participation in a simplified simulation of job interviews and group dynamics.
Objectives: To develop communication, teamwork, problem-solving and adaptability skills, with a focus on collaboration, clear expression, creative solutions, and flexibility. The job interview simulation will allow students to practise verbal and non-verbal communication, posture, answering strategies, and highlighting strengths and motivation for the position.

3) Active Participation (10%)
Includes attendance, engagement in activities, and timely completion of assigned tasks.

General Considerations: Personalised feedback will be provided throughout the semester on each assessed activity. To complete the course unit through assessment throughout the semester, students must attend at least 75% of the classes and obtain no less than 7 (out of 20) in any component.

Final Assessment (100%)
Although not recommended, students may opt for a final assessment through a written exam. If the student scores above 8 in the written component, an oral discussion may be required at the lecturer’s discretion (this oral component will weigh 40% of the final grade, if conducted).

By the end of the course, students should be able to:
LO1: Identify argumentative structures and recognize informal fallacies.
LO2: Apply the Six Thinking Hats methodology to critical analysis and problem-solving scenarios.
LO3: Mobilize divergent and convergent thinking, integrating data, emotions, risks, opportunities, and creativity.
LO4: Collaborate in parallel thinking tasks, managing different modes of reasoning.
LO5: Critically evaluate decisions and arguments based on a structured and multidimensional thinking approach.

Course Content
CC1: Definition and importance of Critical Thinking (CT)
CC2: Basic structure of an argument: premises and conclusion
Examples of simple and complex arguments
CC3: Methods for argument analysis
CC4: Logical fallacies and common reasoning errors
CC5: Criteria for evaluating the quality of arguments
CC6: Argument construction
CC7: Practical applications of CT
CC8: Lateral thinking and the foundations of the Six Thinking Hats model
CC9: Practical applications of each hat: data (white), emotions (red), risks (black), benefits (yellow), creativity (green), thought management (blue)
CC10: Parallel thinking dynamics in academic, professional, and ethical contexts; integration of argumentative methodologies and the Six Hats in simulations, debates, and written exercises

Assessment throughout the semester includes presentations, exercises, debates, readings, and case discussions (in small groups).
Active participation in practical sessions is expected and evaluated according to the following criteria:
Attendance and participation – In-class exercises and group debates (minimum 80% attendance): 20%
Homework assignments – Two tasks: one worth 5%, the other 10%: 15%
Individual essay applying the Six Thinking Hats to a real dilemma or situation: 30%
Final critical reflection, integrating course dimensions and articulating argumentative and parallel thinking: 35%
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).

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.

Maria da Conceição Figueiredo

Alexandre Antunes Rodrigues

Maria Teresa Delgado Calapez

LO1. Methodological and practical knowledge to describe available information analytically and graphically.
LO2. Theoretical, methodological and practical knowledge to model probabilistic scenarios of low or moderate complexity.
LO3. Theoretical, methodological and practical knowledge of statistical inference
LO4. Skills: Apply basic statistical simulation and data analysis techniques using open source software (R or similar).
LO5. Competences: Demonstrate the ability to communicate the results of the analyses carried out

S1: Descriptive statistics: types of variables, statistical measures, graphical representations (histograms, bar charts, boxplots)
S2: Recall of probability concepts, total probability and Bayes formula.
S3: Random variables and Statistical distributions: i) basic concepts (probability, density, moments); ii) discrete (Bernoulli, binomial, Poisson) and continuous (normal, lognormal, exponential) distributions. Simulation of RV with specified distribution. Using simulation to obtain event probabilities.
S4: Statistical Inference: Confidence intervals (classical and percentilic), hypothesis testing (test for one or two means, test for a proportion, goodness of fit tests, Chi-square of independence). Principles of bootstrapping.

Assessment throughout the semester:
1.Attendance of at least 2/3 of classes.
2. Three practical worksheets with the chosen statistical software, to be carried out in groups in practical classes (each corresponding to each of the points CP1, CP3 and CP4) - 30%. minimum mark in each of the works of 8. There may also be an oral discussion.
3. a final individual test (70%). Minimum mark of 8.5 points;
minimum final average of 10 points (mark rounded to the nearest integer).

Assessment by exam: individual exam that includes the whole subject with a minimum mark of 10 (rounded to the nearest integer).

An oral exam may be required for any assessment method.
All assessment will be carried out without consulting handouts, books or other materials, and the use of calculators or mobile phones is not permitted; forms and tables will be provided by the teaching team at the time of the assessment.

João Carlos Menezes

António Ângelo Machado Matos Pereira

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).

Maria João Lopes

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; interpret the results obtained with a 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.

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

Assessment throughout semester or Assessment by exam.
Assessment throughout the semester:
i) Individual Intermediate Test:
• Weight of 40% in final grade.
ii) Individual Final Test:
• Weight of 60% in final grade
• Minimal grae required 8.5
iii) Weighted average for tests: at least 9.5;
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

João Carlos Menezes

Carlos Hernandez Jerónimo

On the completion of this course the student will be able to:
1. Model some logistics problems using
linear programming, integer programming and mixed integer programming formulations;
2. Apply some methodologies of Multiobjective Linear Programming;
3. Apply specialized algorithms to solve the problem under study.

Mathematical models for logistics problems, and methodologies for their resolution:
1.1. Introduction to Multiobjective Linear Programming;
1.2. Introduction to Heuristics;
1.3. Bin Packing Problem;
1.4. Facility Location Models;
1.5. Routing problems;
1.6. Job Scheduling;
1.7. Set Covering problems.

Two options:
1. Periodic Evaluation:
team works (30%) at most 4 elements;;
midterm test (20%);
one final test (50%).
Grade (Final Test ) >= 7.5
Final Grade: Weighted Average >= 9.5.
Attend to at least 2/3 of the classes.

2. Final Exam;

In both cases, students can be asked to do an oral examination.

Henrique O'Neill

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).

Inês Faina

Students who successfully complete this course will be able to:
LG1 - Describe and contrast theories and practices of human resources management
LG2 - Using methods and techniques to diagnose and intervene in the main problems related with teams management

1. Human resource management, its evolution and importance.
2. Human Resource Management Models and Processes: Integrated management, strategic management, HR planning, recruitment and selection, performance management and people development.
3. Management and development of teams and project teams.
4. Factors of effectiveness, leadership, trust, communication, decision making and team negotiation
5. Exercises and / or case studies.

1) Assessment during classes period: a) 1 group assignments (40%) b) individual final test (60%). The approval implies a minimum score of 8 values in each of the tests; minimum final classification 10 points (in 0 - 20 values).
2) Final assessment (1st season or 2nd season): written test or other assessment test (100%), with a minimum grade of 10 points (in 0-20 values).

Maria João Lopes

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 obtained and 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. Facility Discrete Location Models with and without Capacity Constraints
3.1 MILP Formulations;
3..2 Heuristics and Solution Assessment.
4. Bin Packing Problems
4.1 Formulation in LIP;
4.2 Greedy Heuristics;
4.3 Lower Bounds.
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) Individual Intermediate Test:
• Weight of 40% in final grade;
ii) Individual Final Test:
• Weight of 60% in final grade
• Minimal grade required 8.5;
iii) Weighted average for tests: at least 9.5;
iv) 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

Abel Camelo

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

LG1: 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;
LG2: Understand the importance of information and data for management and decision-making; 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 technology-based business (start-up), highlighting the organizational aspects of business and the technological systems appropriate to the strategic objectives of the company.

S1. Organizations and Technologies
S1.1 Organizations, Processes and Systems
S1.2 Technological systems - production and information S1.3 Data management and integration S1.4 ERP - Enterprise Resource Planning Systems (Primavera)
S1.5 Business Intelligence
S2. Management and Adoption of Technological Systems
S2.1 The Business Strategy and Technological Systems
S2.2 Strategic Management of Technology Systems - an operational framework S2.3 Integration &Technology roadmap

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%

Susana Isabel Ratinho

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%

Luísa Domingues

At the end of this learning unit, the student must be able to (LO):
LO.1: Differentiate and relate the phases of the software development life cycle
LO.2: Analyse, design and develop information systems in an innovative context
LO.3: Assess and argue the use of an information system typology and associated data model
LO.4: Create mechanisms of exploration and analysis of data in relational and dimensional models
LO.5: Develop collaborative and investigative skills in a project team context

Programmatic Contents (PC):
PC.1.: Information Systems Development Context - The Efficiency and the Effectiveness Issues
PC.2.: Modelling Information Systems - Unified Modelling Language (UML)
PC.3.: Information Systems Development
PC.4.: Information Systems for Decision Support and Data Exploitation
PC.5.: 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.

Abel Camelo

Carlos Hernandez Jerónimo

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 on 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

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 approaches

A: Assessment throughout the term.
1. Mini-test - 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.

Abel Camelo

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%

Cassilda Mariza Alpoim Queiroz

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).

Carlos Hernandez Jerónimo

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

Leandro Ferreira Pereira

1. Understand strategic situation analysis including environmental and industrial analysis, stakeholders and their influences on organizations and internal analysis
2. Use rational approaches associated with the identification and selection of strategic alternatives to include core competencies and resource-based strategy, scale and non-scale strategies.
3. Assess the issues and practices of implementing chosen strategies
4. To incorporate principles of responsible management into strategic decision-making.
5. To develop a critical thinking.
6. To have autonomy to plan their own learning processes in order to deep their knowledge in this area of study.

1. Basic Concepts
2. Strategy Formulation - vision, mission and values
3. Ethics, CSR, Sustainability and ESG
4, The Resource Based View and Dynamic Capabilities
5. External environment, Industry and competitor analysis
6. Strategic choice (competitive strategies)
7. Strategic choice (corporate strategies)
7.1. Vertical integration
7.2. Diversification
7.3. Strategic alliances
7.4 internacionalization
8. Implementation
9. Strategic Control
10. Balanced Scorecard

Option 1(Periodic assessment)
-50%: End of term Test (AW=30+3 hrs)
-50%: Group assignment throughout the semester divided into 3 presentations (20% + 20% + 10%)

Approval: Weighted average of 10 or more (0-20 scale); the end of term test and the weighted average of the remaining periodic assessment components cannot be less than 8 (0-20 scale).

Option 2 (End of term exam)
Approval: 10 (on a 0-20 scale)

Susana Isabel Ratinho

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