Students who successfully complete this course will be able to:

LO1 - Describe and compare theories on e-leadership and digital platforms for innovation.
LO2 - To know and critically evaluate the psychosocial processes that influence e-leadership and innovation in digital platforms.
LO3 - Using methods and techniques to diagnose and intervene in the main problems related with digital transformation and innovation in organizations.

PC1. Introductory approach to digitalization and digital platforms
PC2. Main drivers of digital disruptions in organizations
PC3. Innovation and change in organizations dynamics (blue Ocean Strategy)
PC4. Leading remote teams and green innovation in organizations
PC5. Psychosocial processes in e-leadership and implementing sustainable digital transformation strategies
PC6. Digital transformation across sectors

Assessment throughout the semester (1st Sitting Evaluation):
- Practical cases developed in class (40%)
- 1 individual written test without consultation (60%)
There is no exam option in the 1st Sitting Evaluation.
The minimum grade for the written test in the 1st sitting evaluation must be 9.5 points.
The grade for the group assignment will not be considered for the exam in the 2nd sitting

2nd Sitting Evaluation - Written exam without consultation covering all the material taught during the semester.
Attendance criteria will not be taken into account in this curricular unit.

LG1. Understand why digtal transformation (DT) is important and how it impacts organizations.
LG2. Understand why digtal strategy is important and how to implement it.
LG3. Understand the digital context since the first digital platform and the main predictions of digital evolution in a near future. Recognize the DT as a process.
LG4. Recognise the digital platforms and business models transformation. Know the main business for digital economy.
LG5. Know the reference models for DT an the main good practices.
LG6. Understand the main opportunities and threats of DT
LG7. Understand the DT under organizational management and corporate governance fields.
LG8. Know how to implement the DT as well as the importance to consider the change management and continual improvement fields.
LG9. Design a roadmap to improve maturity through DT. Use agile tools and practices.

This class has the following syllabus (CPs):

CP1 [Digital Strategy] ? Introduce the importance and main concepts to implement a digital strategy.

CP2 [Drivers for the Digital Transformation of Organizations]
Introduction to the main concepts of Digital Transformation.

CP3 [Main practices related to the digital transformation process]
Reference models and practices for the Digital Transformation of Organizations

CP4 [Models of Information and Technology Governance in Organizations]
Organization Models in the ontexto of Digital Transformation.

CP5 [Definition of the roadmap for Digital Transformation]
Practical application of concepts and exercises to define strategies and roadmap for Digital Transformation

This CU does not have exam. Its practical approach is assessed by a project.

Evaluation during the semester
Individual Assignment(IA) - 30% of the grade (minimum of 8) (during the semester)
Group Assignment (GA) - 60% (first season)
Presentation (P) - 10% (first season)

Formula::
Final grade = (IA*0,3+GA*0,6 + P*0,1)
Minimum grade of 10 to be approved

The students can:
Second season: improve their IA or deliver a new project for 100% of the grade
Special season: deliver a new project for 100% of the grade
To be approved in second season or special season it is required at least a final grade of 10

LO1. Understanding of the basic principles of AI, as well as its applications, benefits and challenges in the professional context;
LO2. Ability to create and effectively use AI solutions to solve problems and optimize processes in different contexts;
LO3. Acquire productivity strategies by understanding the use of Generative AI as an auxiliary tool in their daily lives;
LO4. Development of critical and interdisciplinary sense about the application of AI in different business areas, identifying opportunities and solving real and specific problems of different sectors.

P1. Introduction to AI in Business: Fundamental concepts of AI and its applications in the business context;
P2. Introduction to AI approaches and supporting technologies;
P3. Use of AI in areas such as: Software; Data Science; Finance; Health; Sustainability;
P4. AI as a stimulus to entrepreneurship and innovation;
P5. Ethics and Risks of AI Evolution

The practical nature of this curricular unit and the need for knowledge assessment to be carried out essentially through the students' ability to apply knowledge in solving practical problems, leads to the choice of a project-based evaluation method.

In the 1st season or normal season, evaluation throughout the semester, with no obligation of minimum attendance, with 3 evaluation moments of the group project:
- Presentation of progress mid-semester weighting 20% of the final grade;
- Final project report weighting 15% and quality of the proposed solution weighting 35% of the final grade;
- Final presentation weighting 10% and discussion weighting 10% of the final grade.

The evaluation is based on the performance and individual contribution of each member of the group.

Or evaluation at the end of the semester (1st season), by individual project with 2 evaluation moments:
- Project report weighting 20% and quality of the proposed solution weighting 45% of the final grade;
- Presentation of the work weighting 10% and discussion weighting 15% of the final grade.

In the 2nd season, grade improvement or special season (under the terms of the RGACC), assessment by individual project, available to students who request it:
- Project report weighting 20% of the final grade;
- Quality of the proposed solution weighting 45% of the final grade;
- Presentation of the work weighting 10% of the final grade;
- Discussion of the work weighting 15% of the final grade.

All assessment periods include an assessment component carried out on the eLearning platform, with a weight of 10% (2 out of 20) in the final grade.

All assessment components, in all assessment periods, have a minimum score of 9.5 (out of 20).

LG1. Understand why is the management of business processes importan
LG2. Get the capability to criticize the alignment between business processes and business strategy
LG3. Acquire the knowledge to model business processes
LG4. Acquire the knowledge to analyze business processes
LG5. Acquire the knowledge to redesign business processes

This UC has the following program contents (PCs):
PC1 [Frame and Motivation]
Global vision of business process management and benefits
PC2 [BPMN]
Introduce the main notation to model business processes
PC3 [Processes? Context]
Understand how the process analysis is influenced by processes? context
PC4 [Techniques of Analysis]
Introduce the main techniques to analyze a business process
PC5 [Manage the Process Redesign]
Explain the main concerns to have into consideration during process redesign
PC6 [Information Architecture]
Introduce the main heuristics to redesign business processes.

This CU does not have an exam. Its practical approach is assessed by a project.

Evaluation during the semester
Individual Assignment(IA) - 30% of the grade (minimum of 8) (during semester)
Group Assignment(GA)
Part1 (P1) - 30% (during semester)
Part2 (P2) - 30% (during semester)
Presentation (P) - 10% (first season)

Formula::
Final grade = (IA*0,3+P1*0,3 + P2*0,3 + P*0,1)
A minimum grade of 10 to be approved

The students can:
Second season: improve their IA or deliver a new project for 100% of the grade
Special season: deliver a new project for 100% of the grade
To be approved in the second season or special season it is required at least a final grade of 10

OA1. Deepen the mastery of the most used frameworks for IT governance.
OA2. Acquire critical thinking about practical constraints regarding business/IT
alignment.
OA3. Realize the impact that a good / bad IT investment can bring in relation
to success for the business.
OA4. Gain awareness of the various mechanisms for IT governance and how
these can be used to achieve a better strategic alignment between business
and IT.
OA5. Understand how risk and compliance management is directly related to
governance and what influence does it has on its success.
OA6. Understand the role of IT in innovation and how IT can help the business
to differentiate itself in the marketplace.
OA7. Understand the importance of planning properly and analyzing the
benefits.

CP1 [Principles and concepts]
Main principles and concepts on IT governance.
CP2 [IT Governance VS IT Management]
Elucidate on the main differences between governing and managing IT.
CP3 [IT Governance Mechanisms]
Describe the various mechanisms for IT governance, as well as their
functionalities.
CP4 [IT Strategy Management]
Clarify the importance of good IT planning and keep your business strategy and
IT aligned.
CP5 [IT Value]
Understand the cost / benefit of IT investments.
CP6 [IT Performance]
Application and relevance of a Balance ScoreCard (BSC) in IT.
CP7 [IT Risk Management]
Importance of risk management and how it can be applied.
CP8 [IT Compliance Management]
The importance of keeping in line with policies.
CP9 [Innovation]
How to use IT to empower business.
CP10 [Frameworks for IT Governance]
Introduction to the main frameworks in the market for guiding/supporting IT
governance

PERIODIC EVALUATION
This is the recommended evaluation method given the nature of the content
taught. The evaluation will be made through an individual assignment. The
work must be delivered and presented at the end of the semester during the
normal season.
Individual Assignment
Students will have to submit a final assignment where they must present the
knowledge acquired throughout the UC. The subject of the work must be
aligned with all or part of the subject matter. Students will be encouraged to
integrate their work with the reality of companies, although this is not
mandatory.
Each student should make a final presentation about the work done followed
by an oral discussion of the work.
The work will have a weight of 90% and will be evaluated on a scale of 0 to 20.
The presentation of the work will have a weight of 10% and will evaluated on a
scale of 0 to 20.

LG1. Understand why agile methodologies are important for project
management specially for ITSM
LG2. Understand why ITSM is important and how complex is to apply it.
LG3. Learn about the main standards and frameworks of ITSM. The main focus
should rely on ITIL.
LG4. Understand how DEVOPS works as well as how it links with ITIL and ITSM.
LG5. Learn about SCRUM methodology. Which are the main advantages and
how one can apply it in practice to better manage ITSM projects.
LG6. Teach students the main roles and responsibilities of SCRUM, ITIL and
DEVOPS as well as how these methodologies can works all together to promote
IT service improvement and increase organizational productivity.

CP1 [Frame and Motivation]
Global vision of ITSM
CP2 [ITIL & ITSM]
Introduce the main ITSM framework: ITIL
CP3 [DEVOPS]
Introduce DEVOPS methodology and respective practices
CP4 [ITIL & DEVOPS]
Explain how DEVOPS and ITIL can work together to improve the ITSM
CP5 [SCRUM]
Introduce and explain SCRUM. Detail its content and elements as well as their
meaning and field of application.
CP6 [SCRUM & ITSM]
Explain how SCRUM and ITSM relate. Plus, detail the advantages of using
SCRUM in ITSM projects.
CP7 [Applicational Architecture]
Explain how the approached methodologies can work all together aiming to
both improve ITSM efficiency and improve ITSM project success.

This CU does not have an exam. Its practical approach is assessed by a project.
Periodical Evaluation:
Group assignment
Part1 (P1) - 40% of the grade
Part2 (P2) - 40% (first season)
Individual presentation (IP) - 20% (first season)
Formula::
Final grade = (P1*0,4+P2*0,4 + IP*0,2)
Minimum grade of 10 to be approved
The students can:
Second season: improve their IA or deliver a new project for 100% of the grade
Special season: deliver a new project for 100% of the grade

"After completing this course unit the student should be able to:
LO1. Identify the most relevant types of optimization and decision problems in Software Engineering (SE) activities, which determine the success of software projects and products.
LO2. Recognize the main characteristics of a multi-objective optimization problem and multi-criteria decision in the context of SE.
LO3. Define the computational model of the multi-objective optimization and multi-criteria decision problem in SE;
LO4. Know the main (families and) optimization and multi-criteria decision techniques;
LO5. Know how to solve multi-objective optimization and multi-criteria decision problems in SE."

"CP1. Introduction to Optimization and Decision in Software Engineering (SE);
CP2. Single criterion optimization and decision problems;
CP3. Optimization and multi-criteria decision problems;
CP4. Optimization and multi-criteria decision problems in SE (project management, requirements, design, implementation, validation and verification, deployment);
CP5. Mathematical optimization and multi-criteria decision techniques;
CP6. Optimization heuristics and multi-criteria decision methods."

"The practical nature of this curricular unit and the need for knowledge assessment to be carried out essentially through the students' ability to apply knowledge in solving optimization problems in software engineering, leads to the choice of a project-based evaluation method.

In the 1st season or normal season, evaluation throughout the semester, with no obligation of minimum attendance, with 3 evaluation moments of the group project:
- Presentation of progress mid-semester weighting 20% of the final grade;
- Final project report weighting 15% and software delivered weighting 35% of the final grade;
- Final presentation weighting 10% and discussion weighting 10% of the final grade.

The evaluation is based on the performance and individual contribution of each member of the group.

Or evaluation at the end of the semester (1st season), by individual project with 2 evaluation moments:
- Project report weighting 20% and software delivered weighting 45% of the final grade;
- Presentation of the work weighting 10% and discussion weighting 15% of the final grade.

In the 2nd season, grade improvement or special season (under the terms of the RGACC), assessment by individual project, available to students who request it:
- Project report weighting 20% of the final grade;
- Software delivered weighting 45% of the final grade;
- Presentation of the work weighting 10% of the final grade;
- Discussion of the work weighting 15% of the final grade.

All assessment periods include an assessment component carried out on the eLearning platform, with a weight of 10% (2 out of 20) in the final grade.

All assessment components, in all assessment periods, have a minimum score of 9.5 (out of 20)."

1. Know how to develop mechanisms, techniques, tools to create common sense in the teams
2. Know how to get the best out of each one in a collective contribution
3. Know how to redefine limits, processes, organizational reengineering to accelerate deliveries
4. Know how to use technology to enhance sharing and productivity

1. Old paradigm: organizations like machines
2. New paradigm: organizations as mutant living organisms
3. Strategic direction embedded throughout the organization
4. Networking to empower teams
5. Fast decision-making and learning cycles
6. Dynamic teams boost culture
7. Technology-based productivity

Continuous assessment requires attendance at a minimum of 60 percent of classes and includes the completion of:
- An individual assignment presented and discussed with a weighting of 80%;
- 20% classroom participation
The Final exam, in the 1st and 2nd Seasons, will represent 100% of the final grade obtained, disregarding the continuous assessment component.

At the end of this course, students should:

O1. Know the general sequence of procedures that take place in an investigation.
O2. Know how to identify / confirm the existence of open problems, through a systematized literature review.
O3. Know the rudiments of various methodological approaches to research and understand their applicability conditions.
O4. Have had contact with various techniques and tools used by researchers.
O5. Learn how to select the processes of data collection, organization, processing and analysis.

1st SEMESTER
P1: State of the art and research questions
It involves a critical literature review, guided by a protocol defining the research scope and inclusion and exclusion criteria. The characterization of the state of the art should justify the choice of the topic and the relevance of the research questions.
P2: Training of writing and presentation skills for scientific works
Encompasses participating in seminars, cooperative workshops (e.g. posters session), mini courses and attending public defenses.

2nd SEMESTER
P3: Implementation and validation of proposed contributions
The validation of contributions must be made by demonstrating the compliance with the steps of the adopted scientific method(s), and/or by comparing the results obtained with the state of the art, and/or through their dissemination in peer-reviewed scientific venues.
P4: Dissertation writing
Must comply with the graphic presentation standards in force.

I) EVALUATION during the semester
- 25% first individual delivery (during semester)
- 75% Individual project (first season)

The student can use the 2nd season or special season (individual project and different topic).

OA1: Know how to systematically review the relevant literature in a given scientific domain, to draw a picture of the state of the art and to identify research questions and expected contributions.
OA2: Have applied one or more research methods to answer research questions, resulting in one or more technical-scientific contributions.
OA3: Know how to validate contributions and identify the corresponding validity threats.
OA4: Have learned how to prepare a master's thesis with quality, both in form and content.
OA5: Being able to present a scientific work and to argue about the validity of its contributions.

1st SEMESTER

P1: State of the art and research questions
It involves a critical literature review, guided by a protocol defining the research scope and inclusion and exclusion criteria. The characterization of the state of the art should justify the choice of the topic and the relevance of the research questions.

P2: Training of writing and presentation skills for scientific works
Encompasses participating in seminars, cooperative workshops (e.g. posters session), mini courses and attending public defenses.


2nd SEMESTER

P3: Implementation and validation of proposed contributions
The validation of contributions must be made by demonstrating the compliance with the steps of the adopted scientific method(s), and/or by comparing the results obtained with the state of the art, and/or through their dissemination in peer-reviewed scientific venues.

P4: Dissertation writing
Must comply with the graphic presentation standards in force.

The assessment at the end of 1st semester include: research proposal, introduction, literature review, the plan for the next sections, and a presentation.
The final assesment will take into consideration the previous assessment, the quality of the investigation (document), and the quality of the presentation and public discussion.

OA1: Know how to systematically review relevant literature in a given technical-scientific field, including technical reports, standards, white papers or tutorials, to substantiate a problem and propose a solution.

OA2: Have selected one or more methodological approaches to achieve the project?s objectives, resulting in one or more technical-scientific contributions.

OA3: Know how to validate the artifacts that constitute the solution to the chosen problem and identify the corresponding validity threats.

OA4: Have learned how to prepare a master's project with quality, both in form and content.

OA5: To be able to present a technical-scientific problem and its motivation, to describe the project carried out to produce a solution for the same and to argue about the validity of the same.

1st SEMESTER
P1:Motivation to the problem and preliminary design of the solution
It involves the review of technical-scientific literature, guided by a protocol and its conclusions should be confirmed by domain experts. This step should clarify the problem relevance and the preliminary design of its solution
P2:Training of writing and presentation skills for technical-scientific works
Encompasses participating in seminars, cooperative workshops (e.g. posters session), mini courses and attending public defenses
2nd SEMESTER
P3: Implementation and validation of the proposed solution
The implementation implies the refinement of the design. Validation implies compliance with the steps of the adopted methodological approach(es) and comparing the proposed solution with the state of the art and/or their dissemination in technical-scientific venue(s) with peer review (e.g. tool demo session in conference)
P4: Project?s report writing
Must comply with the graphic presentation standards in force

[10% during 1st sem.]
Assiduity in participation in seminars,mini-courses and attending defenses (to announce).
[25%, final 1st sem.]
Assessment of project's report chapters 1 (problem motivation) and 2 (preliminary design of solution) in the official format and the presentation and discussion of a poster on an ISTAR-IUL workshop
[65%, final 2nd sem.]
Project's public defense, which will evaluate the delivered report, its presentation, argumentation capabilities,autonomy and possible dissemination.