PRDEIG001 - ECTS

The objective of this CU is to prepare a written report with a research project proposal that will be submitted to the direction of PRODEGI after the end of the first year.
The report will be presented orally before a jury appointed by the direction of the PRODEGI, followed by a discussion of its content and any suggestions for improvement/change in focus or work plan.

PRDEIG033 - ECTS

PRDEIG025 - ECTS

The objective of this curricular unit is to allow students to study and cover an important topic for their thesis topic, which is not adequately covered by another curricular unit of PRODEGI or the University of Porto.

PRDEIG026 - ECTS

The objective of this curricular unit is to allow students to study and cover an important topic for their thesis topic, which is not adequately covered by another curricular unit of PRODEGI or the University of Porto.

 

PRDEIG032 - ECTS

Motivation:
It is current practice of Corporations and Research Institutions to collect and store huge amounts of data.
The analysis of such  data can become a competitive advantage (for business) or as a source for new discoveries (in research).
Analysing large amounts of data or complex data manual processes, or even OLAP, are prohibitive.
Computational tools, using data analysis algorithms (from Statistics, Machine Learning, Data Mining, etc.), are necessary for the [semi]-automatic construction of models that help decision makers and researchers to solve data-based complex problems.
Objectives

• Motivate the students for the use of Data Mining techniques as decision support tools.
• Develop student's skills to correctly use DM techniques in the analysis of very large data sets.
• Make the students aware of advanced DM topics.

PRDEIG034 - 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.

PRDEIG002 - ECTS

The overall goal is to aquire and consolidate methodological skills that help students plan for a research project while being fully aware of its components and of the different research paradigms available. The specific goals encompass: acquiring advanced knowledge on how to put into practice the different research paradigms; building a critical and reflexive stance towards the different research paradigms; getting in touch with innovative approaches to research.

PRDEIG027 - ECTS

The objective of this curricular unit is to allow students to study and cover an important topic for their thesis topic, which is not adequately covered by another curricular unit of PRODEGI or the University of Porto.

 

PRDEIG028 - ECTS

The objective of this curricular unit is to allow students to study and cover an important topic for their thesis topic, which is not adequately covered by another curricular unit of PRODEGI or the University of Porto.

PRDEIG037 - ECTS

The main objective of this course is to give students an overview of the principles and techniques of Operations Management and logistics, namely concerning:

• know and understand the key concepts in operations management, so as to solve real world problems, both in industrial and service companies;
• acquire an integrated vision of the operations management inside the organizations, namely in what concerns techniques and strategies, as well as be able to identify and tackle problems using quantitative methods;
• understand the need and role of forecasting methods, inventory planning, and of scheduling of tasks in production systems and supply chains;
• know and apply lean manufacturing concepts and tools, with the aim of reducing wastes and increase the efficiency of production systems
• know and apply techniques and tools for design, planning and management of logistic and distribution systems

PRDEIG036 - ECTS - Recall and describe the components of a product/service concept and how they interact to create value, factors that influence the ability to capture returns from innovation, and concepts and tools to analyze organization dynamics and resource allocation.

- Recall and describe methods and tools of new product/service design and development.

- Raise awareness of the role of the customer and multiple functions/stakeholders in creating a new product or service.

- Consolidate knowledge from other courses through practice in a project of design of a new product or service.

PRDEIG029 - ECTS

 

This is a compulsory course that is divided into three interconnected parts with autonomous syllabus, although approached taking into account their complementarities. 

The first, on Quantitative Methods, aims at exploring the hypotheses testing and multivariate statistical analysis procedures in the production of scientific knowledge and to consolidate skills for the critical evaluation of their potential and limitations. 

The second, on Qualitative Methods, examines the procedures for collecting and analyzing qualitative data and write qualitative research, also exploring how to ensure rigor, validity and ethical standards in qualitative research.

The third part, on Design Science Research (DSR), briefly introduces the objectives, concepts and process for developing a DSR approach.

 

PRDEIG007 - 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.

PRDEIG010 - ECTS

The aim of this course unit may be considered in two perspectives. First of all, this course unit aims to present the area of modelling and simulation as an important resource and indispensible tool in the scientific method in order to test and validate concepts and theories, which are useful in almost all PhD projects. Subsequently, the presentation and discussion of recent techniques and methods of modelling and simulation should motivate the identification of problems and challenges, which make this area an excellent study subject in the domain of computer engineering. In more detail, the aims of this course unit are:

• to present the basic concepts of (computational) modelling and simulation and their diverse areas of application;
• to present the different phases of the life cycle of a simulation project, from the modelling phase to the analysis and application of results;
• to present the main types of models and their adequacy to the treatment of different problems, as well as the main simulation techniques.
• to extensively present and discuss the state of the art of recent technology in the area of modelling and simulation, by identifying the challenges, main areas of investigation and trends;
• to present the concept of agent-based simulation, with examples, and hands-on practice resorting to the NetLogo simulator.