PDEEC0049 - ECTS

The course is intended for students who are interested in Machine Learning. Machine Learning is a foundational discipline of the Information Sciences. It combines elements from Mathematics, Computer Science, and Statistics with applications in Biology, Physics, Engineering and any other area where automated prediction is necessary.

The aim of the course is to present some of the topics which are at the core of modern Machine Learning, from fundamentals to state-of-the-art methods. Emphasis will be put both on the essential theory and on practical examples and lab projects. Each exercise has been carefully chosen to reinforce concepts explained in the lectures or to develop and generalize them in significant ways.

PDEEC0085 - ECTS Acquire the capability to analyze and evaluate the performance of a real-life computing application and to conceive and develop a hardware/software system capable of improving its performance, while running on a conventional computing system.

Introduce the processes, methodologies, techniques and best practices associated to the development of digital integrated systems, combining software components running in one or more conventional CPUs with custom designed hardware blocks for accelerating the critical parts of an application, based on high-level synthesis design methodologies and tools.

GDI001 - ECTS

• Identify funder requirements for sharing research data;
• Understand the FAIR principles for data management: findability; accessibility; interoperability; reusability;
• Obtain an integrated view of the entire data lifecycle in a research project;
• Develop a Data Management Plan.

CTECAT01 - ECTS . Identify key aspects of assertiveness, the characteristics of the different modes of communication and the advantages of an effective presentation, with particular emphasis on events linked to the development of the PhD.
. Use an assertive communication profile and utilize procedures to prepare, implement and defend a successful presentation in order to master the communication interactions inherent in the PhD, including participation in meetings, congresses, conferences and presentation/defense of his thesis.
. Be aware of changes to be made to ensure increasing effectiveness of the ability to communicate assertively and continuous improvement of the basic skills to perform with high mastery academic and/or professional presentations in the engineering areas.

CTEFP01 - ECTS

MAIN GOAL 

The course aims to develop basic skills for teaching in the context of Higher Education.

It is, therefore, an initial, basic and intensive training for doctoral students and researchers who have recently entered the teaching career or who intend, in the short term, to collaborate in teaching CUs in Higher Education.

 

Learning Objectives

• Reflect on your own pedagogical practices (particularly on teaching methods and assessment practices)
• Calculate ECTS
• Define learning goals and distinguish them from competencies
• Discuss the principles of active learning
• Take the advantages of adopting new pedagogical approaches (constructivist alignment) and new teaching strategies and methods
• Apply pedagogical strategies according to contextual specifics
• Select assessment methods and techniques appropriate to the defined objectives and competencies

CTEGTO01 - ECTS

• Analyze dysfunctional situations in the organization of work and identify efficient strategies in terms of managing time, pressure and stress, in order to keep the development of your doctoral thesis at a strong pace.
• Use practical time management techniques and improve the organization of personal work to improve your productive efficiency at work andcontrol daily stress, in order to benefit from high productivity conditions for carrying out your research and writing your thesis.
• Internalize the changes to be made to ensure a growing effectiveness of your performance as a researcher, through a progressive optimization of time management throughout your PhD and ensuring a better balance between your personal and academic/professional life.

MIC01 - ECTS

• To promote assimilation of the Processes, Methodologies and Practices associated with Scientific Research, particularly in Engineering.
• To develop a spirit of scientific criticism.
• To develop the ability to produce a scientific text, both in terms of form and the quality of the appropriate content.

PDEEC0082 - ECTS The curricular unit is not designed to be an exhaustive survey of the area of digital communications. On one hand, it revisits or complements students’ background in digital communications. On the other hand, it brings to students’ attention some of the new topics and challenges in the area of digital communications.

PDEEC0064 - ECTS

To analyse the operation of modern high performance power electronics converters in terms of different topologies, control methods. The objective is the student to get knowledge in applying the power converter as adapter of the power waveform independently from application domain gaining ability:

to adopt a topology for a well-established power/energy conversion;

to analyse power flow and input and output waveforms;

To control power converter operation.

PDEEC0072 - ECTS

- To acquire the theoretical basis for understanding the  estimation and identification problems as well as the methods that today constitute the "state of the art" in this area.
- To know the different approaches to the system identification problem  with emphasis on the linear systems.

PDEEC0070 - ECTS

To give the first-year PhD students a broad, but simultaneously in-depth, overview of search and optimization methodologies, applicable to the resolution of multi-disciplinary decision problems, under a decision support framework.

PDEEC0052 - ECTS

This graduate course on Robotics Manipulators aims to give the student the ability to understand and apply the recent advances in this field. There is a text book together with a list of selected original research papers in order to allow the students to follow the advances in the addressed topics. The course main topics are: rigid body dynamics, rotation representation, forward and inverse kinematics, the Jacobian, path and trajectory planning, joint control, dynamics, multivariable control, advanced external sensors, rapid teaching and programming interfaces.

PDEEC0005 - ECTS This is an advanced course in functional analysis and infinite dimensional optimization, with applications in least-squares estimation, nonlinear programming in Banach spaces, optimization. The repertoire of analytical tools related to linear spaces provides the students with the facility to investigate new theoretical concepts in electrical engineering specialties

PDEEC0084 - ECTS

PDEEC0079 - ECTS During this course students should define the scope and topic of the PhD research. Typically, this consists in identifying the state-of-the-art material, and developing a draft research plan. The output of work carried out within the scope of this course is the Thesis Research Plan (TRP) to be submitted for oral exam.

PDEEC0081 - ECTS

To review the knowledge and mathematical bases of signal processing in a uniformization perspective.

To learn the third cycle of studies advanced topics in signal processing.

To learn how to combine and apply knowledge into projects.

To learn how to evaluate solutions.

PECIENT01 - ECTS

Researchers are increasingly faced with the need to publish their research papers either to impart knowledge or for the purpose of academic career. This course aims to facilitate this task through a more thorough and comprehensive knowledge of the various components associated with publishing and scientific writing, which are described in the course syllabus.

PDEEC0002 - ECTS

Acquisition of advanced knowledge on the mathematical models used to describe the electric power system and their components, to allow the development of stability and dynamic behavior analysis studies. Understand the different dynamic phenomena that can appear in a power system, resulting from disturbances, which may lead to loss of system security. Be familiarized with the tools and methodologies that can be used to study and solve these problems.

PDEEC0078 - ECTS

The objective of this course is to provide in-depth knowledge of the state of the art
in the areas of Real-Time Scheduling and Real-Time Operating Systems (RTOSs),
after a brief introduction to Specification and Modeling of Real-Time Systems.

The competences to be acquired by the students are:
- Ability to search for related information in the field of Real-Time Systems scientific research
- Understanding of the specific features of RTOSs and capacity to classify them
- Ability to identify the situations in which RTOSs are particularly useful
- Capacity to relate and use the most common tools for specification and modeling of RT systems
- Ability to select adequate RT scheduling criteria and apply the associated timing analysis

The expected results are that the students acquire the competences
referred above and become capable of identifying open research issues in
the current state of the art in RTS research.

PDEEC0059 - ECTS

This curricular unit (UC) aims at providing extended knowledge of the state-of-the-art in the research of Ubiquitous Embedded Systems (UES), covering the use of platforms with very limited computational and communication resources, their interconnection in wireless sensor and actuator networks (WSN / WSAN) and their integration in the Internet-of-Things (IoT).

It is expected that the students of this UC will acquire the competences needed to identify current problems in the field of UES, based on a critical view of the solutions existing in the literature.

PDEEC0086 - ECTS This curricular unit is intended to develop skils in advanced topics of Electrical and Computer Engineering that cannot be obtained with the other proposed optional courses.  This objective is achieved through independent, supervised study, based on a plan agreed between a student and a professor, who doesn't have to be the student´s supervisor.  This plan establishes the learning objectives, deadlines and expected results to be obtained.  The validation of the plan by the Scientific Committee of PDEEC is required for the student enrollment in this curricular unit.

PDEEC0080 - ECTS Special Topics consists of two types of alternative activities:

1. Planned Individual Study (PIS) on a scientific topic not addressed in courses offered by PDEEC but considered relevant for the student’s thesis. PIS must be supervised by a professor or a PhD researcher. The final deliverable for PIS is a document reporting the original work developed by the student during this study. Co-authorship in the context of this study in not allowed.

2. Teaching Assistance (TA) in courses offered in the Department of Electrical and Computer Engineering of FEUP (DEEC/FEUP). For this purpose, the student is requested to find a professor interested in supervising his teaching activity in an ongoing course. TA requires the student to: a) create or improve laboratory/practical works, including set-up the experiments, prepare the theoretical background, and elaborate the guides; b) teach in laboratory or practical classes, including assisting the laboratory/practical classes, accompanying the course’s students, and help the professor in the evaluation activities; c) teach at least one theoretical module in the theoretical class , which may be central or complementary to the course syllabus and related to course learning objectives. The final deliverable for TA is a document reporting the teaching activities carried out by the student during this activity, including a copy of the material produced by the student.

CTLGD01 - ECTS

• Identify characteristics and conditions of effective leadership based on theoretical developments and inputs from experts experience.
• Generate and manage leadership processes that ensure the productivity of each work team, increasing the levels of commitment and competence of its collaborators.
• Promote a continuous adjustment between the ability to boost human resources and respond to the specific needs of each professional, seeking to ensure a constant improvement of the leader's performance in the face of the challenges arising from the company's evolution.

CTTNP01 - ECTS

• Identify and analyze the success/failure factors inherent to the various negotiation situations and the different characteristics of each organizational context.
• Apply practical negotiation techniques while developing the necessary skills to increase efficiency in preparing, managing, and controlling business processes.
• Self-diagnose individual needs and identify the changes to be promoted to ensure a high level of quality in negotiation interactions and a continuous improvement of their results.

GDI001 - ECTS

• Identify funder requirements for sharing research data;
• Understand the FAIR principles for data management: findability; accessibility; interoperability; reusability;
• Obtain an integrated view of the entire data lifecycle in a research project;
• Develop a Data Management Plan.

PICN01 - ECTS At the end of the curricular unit, the students should:
1) Have an understanding of what it takes to work with engineers, scientists, and other professionals to build companies.
2) Have an understanding of the pressures and demands of work in an early-stage startup.
3) Be able to carry out contacts with customers, partners and competitors, in the typical chaos and uncertainty of startup environments.
4) Be able to use a business model to brainstorm each part of a company, taking into account the associated environmental and social issues.
5) Be able to use customer development to get out of the classroom, iterate on a “minimum viable product” (MVP) and identify a repeatable and scalable business model for it, based on external feedback.
6) Have an understanding of the foundations and role of Intellectual Property in contemporary academia and economy, and be able to define its strategic contribution as a key resource, a source of technology-based advantage in value propositions, and a dimension of competitive dynamics in technology innovation-based business models.

CTEFP01 - ECTS

MAIN GOAL 

The course aims to develop basic skills for teaching in the context of Higher Education.

It is, therefore, an initial, basic and intensive training for doctoral students and researchers who have recently entered the teaching career or who intend, in the short term, to collaborate in teaching CUs in Higher Education.

 

Learning Objectives

• Reflect on your own pedagogical practices (particularly on teaching methods and assessment practices)
• Calculate ECTS
• Define learning goals and distinguish them from competencies
• Discuss the principles of active learning
• Take the advantages of adopting new pedagogical approaches (constructivist alignment) and new teaching strategies and methods
• Apply pedagogical strategies according to contextual specifics
• Select assessment methods and techniques appropriate to the defined objectives and competencies

LATEX01 - ECTS This course provides opportunities for acquisition and development of skills of document preparation system LaTeX, a very useful tool in the production of mathematical and scientific texts, due to its high quality printing, which can also be used to produce personal documents, articles, books, theses, presentations, among others.

MIC01 - ECTS

• To promote assimilation of the Processes, Methodologies and Practices associated with Scientific Research, particularly in Engineering.
• To develop a spirit of scientific criticism.
• To develop the ability to produce a scientific text, both in terms of form and the quality of the appropriate content.

PDEEC0041 - ECTS

PDEEC0027 - ECTS

PDEEC0075 - ECTS This is an introductory course to optimal control theory for systems driven by vector ordinary differential equations. Students are expected to acquire a solid understanding of basic facts associated to this theory. Analytic tools associated to formulation, analysis and solution of optimal control problems are investigated. For simple optimal control problems this tools will be used to obtain a complete characterization of the optimal solution. Contact with known software packages to solve more complex problems is a further and last goal.

PDEEC0095 - ECTS

PDEEC0079 - ECTS During this course students wil define the topic and scope of their PhD research. Typically, this consists of characterizing the state-of-the-art on a given subject, and developing a research plan. The output of the work carried out within the scope of this course is the Thesis Research Plan (TRP) to be submitted for discussion with the PhD Committee appointed by the Scientific Committee of the Program.

PECIENT01 - ECTS

Researchers are increasingly faced with the need to publish their research papers either to impart knowledge or for the purpose of academic career. This course aims to facilitate this task through a more thorough and comprehensive knowledge of the various components associated with publishing and scientific writing, which are described in the course syllabus.

PDEEC0092 - ECTS

PDEEC0053 - ECTS

This graduate course on Mobile Robotics aims to give the student the ability to understand and apply its main concepts and the recent advances in this field. There are three text books together with a list of selected original research papers that allow the students to follow the advances in the addressed topics. The course main topics are: Sensors and perception, Localization, Dynamic modeling, Trajectory generation, Motion control, Cooperation and multi-robot systems, Applications (soccer, indoors, outdoors, aerial, underwater, ...).

PDEEC0066 - ECTS

To apply the knowledge, methods and tools got within previous programme - Energy Conversion in main application domains.

The student must be able of choosing the appropriate power converter from functional and technical requirements put by the application as well as to design the whole system.

PDEEC0057 - ECTS

PDEEC0012 - ECTS

Be familiar with different energy conversion systems that exploit renewable power sources (hydro, PV, wind, wave energies). Be familiar with the control techniques used namely in PV and wind generation. Obtain a deep view of the existing control techniques used in wind energy conversion systems. Be capable of identifying the main problems for operation and expansion of electric power systems resulting from a large scale integration of renewable power sources.
Be familiar with the different storage technologies e understand approaches for combined operation of storage systems with renewable power generations units.
Become familiar with the technical requests imposed to generation units when connected to electrical girds - Grid Codes.
Be familiar with technologies for DC transmission systems connected with off-shore wind farms, including their forms of control and operation.

PDEEC0045 - ECTS

The main objective of this course is to build skills for creating models for combinatorial optimization problems and to solve them through exact techniques.

PDEEC0087 - ECTS

Knowledge on different forecasting techniques and on the application specificity of forecasting electricity consumption, electricity markets prices and energy production.

PDEEC0065 - ECTS The main objective of the curricular unit is to present the fundamental concepts related with Information Theory.
Students should be able to apply theory to solve practical problems close to the reality of communication systems. In particular, students should be able to make a statistical characterization of an information source, a channel without memory, and determining its fundamental limits. Later students should be able to implement in software compression algorithms and coding appropriate to each case.

PDEEC0097 - ECTS This curricular unit is intended to develop skils in advanced topics of Electrical and Computer Engineering that cannot be obtained with the other proposed optional courses.  This objective is achieved through independent, supervised study, based on a plan agreed between a student and a professor, who doesn't have to be the student´s supervisor.  This plan establishes the learning objectives, deadlines and expected results to be obtained.  The validation of the plan by the Scientific Committee of PDEEC is required for the student enrollment in this curricular unit.

PDEEC0080 - ECTS Special Topics consists of two types of alternative activities:

1. Planned Individual Study (PIS) on a scientific topic not addressed in courses offered by PDEEC but considered relevant for the student’s thesis. PIS must be supervised by a professor or a PhD researcher. The final deliverable for PIS is a document reporting the original work developed by the student during this study. Co-authorship in the context of this study in not allowed.

2. Teaching Assistance (TA) in courses offered in the Department of Electrical and Computer Engineering of FEUP (DEEC/FEUP). For this purpose, the student is requested to find a professor interested in supervising his teaching activity in an ongoing course. TA requires the student to: a) create or improve laboratory/practical works, including set-up the experiments, prepare the theoretical background, and elaborate the guides; b) teach in laboratory or practical classes, including assisting the laboratory/practical classes, accompanying the course’s students, and help the professor in the evaluation activities; c) teach at least one theoretical module in the theoretical class , which may be central or complementary to the course syllabus and related to course learning objectives. The final deliverable for TA is a document reporting the teaching activities carried out by the student during this activity, including a copy of the material produced by the student.

PDEEC0090 - ECTS

Computer vision focuses on extracting "useful information" from images and videos. Examples of "useful information" include, for example, detection and identification of human faces and gestures, and tracking moving people or vehicles in a video sequence. Computer vision algorithms have found a wide range of applications in the industrial, military and medical fields. Upon completion of this course, students will:

-understand and be able to explain the basic concepts of computer vision and the fundamental algorithms for manipulation of images and video sequences;

- have described the foundation of image formation, measurement, and analysis;

- have knowledge of existing methods for visual data analysis and be able to apply them in practical situations;

- understand the geometric relationships between 2D images and the 3D world;

- have gained exposure to object and scene recognition and categorization from images;

- grasp the principles of state-of-the-art deep neural networks;

- developed the practical skills (e.g., OpenCV or Pytorch) necessary to build computer vision applications;

- be able to analyze and understand selected scientific papers in computer vision.