Observação e análise da utilização da mini-linguagem Karel the robot num modelo de ensino para aprendizagem de programação no 10º ano do Curso Tecnológico de Informática

O grande objectivo deste estudo foi contribuir para a melhoria do ensino da programação de computadores para aluno principiantes, através de um processo de observação da relação pedagógica estabelecida em sala de aula.

Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

In the field of control systems it is common to use techniques based on model adaptation to carry out control for plants for which mathematical analysis may be intricate. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this line, this paper gives a perspective on the quality of results given by two different biologically connected learning algorithms for the design of B-spline neural networks (BNN) and fuzzy systems (FS). One approach used is the Genetic Programming (GP) for BNN design and the other is the Bacterial Evolutionary Algorithm (BEA) applied for fuzzy rule extraction. Also, the facility to incorporate a multi-objective approach to the GP algorithm is outlined, enabling the designer to obtain models more adequate for their intended use.

Genetic and bacterial programming for B-Spline neural networks design

The design phase of B-spline neural networks is a highly computationally complex task. Existent heuristics have been found to be highly dependent on the initial conditions employed. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this paper, the Bacterial Programming approach is presented, which is based on the replication of the microbial evolution phenomenon. This technique produces an efficient topology search, obtaining additionally more consistent solutions.

A hybrid training method for B-spline neural networks

Current and past research has brought up new views related to the optimization of neural networks. For a fixed structure, second order methods are seen as the most promising. From previous works we have shown how second order methods are of easy applicability to a neural network. Namely, we have proved how the Levenberg-Marquard possesses not only better convergence but how it can assure the convergence to a local minima. However, as any gradient-based method, the results obtained depend on the startup point. In this work, a reformulated Evolutionary algorithm - the Bacterial Programming for Levenberg-Marquardt is proposed, as an heuristic which can be used to determine the most suitable starting points, therefore achieving, in most cases, the global optimum.

B-spline and neuro-fuzzy models design with function and derivative equalities

The design of neuro-fuzzy models is still a complex problem, as it involves not only the determination of the model parameters, but also its structure. Of special importance is the incorporation of a priori information in the design process. In this paper two known design algorithms for B-spline models will be updated to account for function and derivatives equality restrictions, which are important when the neural model is used for performing single or multi-objective optimization on-line.

Design of B-spline neural networks using a bacterial programming approach

The design phase of B-spline neural networks represents a very high computational task. For this purpose, heuristics have been developed, but have been shown to be dependent on the initial conditions employed. In this paper a new technique, Bacterial Programming, is proposed, whose principles are based on the replication of the microbial evolution phenomenon. The performance of this approach is illustrated and compared with existing alternatives.

A criança, a publicidade e as práticas alimentares: uma investigação exploratória

Dissertação mest., Ciências da educação, Universidade do Algarve, 2007

Paralelização automática de algoritmos matriciais

Tese de dout., Engenharia Electrónica e Computação, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2003

Análise das necessidades de formação dos docentes da ESDMI na área das TIC

Dissertação de mest., Ciências da Educação (Educação e Formação de Adultos), Faculdade de Ciências Humanas e Sociais, Univ. do Algarve, 2010

Avaliação de uma nova abordagem comercial na banca de retalho com recurso à metodologia DEA

O presente trabalho, além de dar a conhecer o grupo BCP e de caracterizar as minhas atuais funções no seio de uma agência do Millennium bcp, tem como objetivo analisar se a nova abordagem comercial aos clientes, que este banco se encontra a implementar, permite melhorar a eficiência das suas agências. A eficiência é analisada através do estudo da produtividade técnica, com recurso à técnica de programação linear: Data Envelopment Analysis – DEA, na abordagem do modelo BCC, com orientação output. Considerou-se como variáveis input: o número de empregados, os gastos com pessoal e o total dos gastos operacionais, e como variáveis output: o número de contactos telefónicos, o número de transações e o número de vendas. Foram analisadas 109 agências, 9 que já implementaram a nova abordagem comercial e 100 que ainda utilizam a abordagem comercial tradicional. Verificou-se que até ao ano 2011, as agências que implementaram a nova abordagem comercial detinham um nível de eficiência significativamente inferior ao das agências que utilizam a abordagem comercial tradicional. Em 2012, ano em que foi implementada a nova abordagem comercial nas 9 agências, verificou-se que estas conseguiram melhorar significativamente o seu nível de eficiência, enquanto as agências que continuaram a usar a abordagem comercial tradicional diminuíram-no ligeiramente.

Design of neuro-fuzzy models by evolutionary and gradient-based algorithms

All systems found in nature exhibit, with different degrees, a nonlinear behavior. To emulate this behavior, classical systems identification techniques use, typically, linear models, for mathematical simplicity. Models inspired by biological principles (artificial neural networks) and linguistically motivated (fuzzy systems), due to their universal approximation property, are becoming alternatives to classical mathematical models. In systems identification, the design of this type of models is an iterative process, requiring, among other steps, the need to identify the model structure, as well as the estimation of the model parameters. This thesis addresses the applicability of gradient-basis algorithms for the parameter estimation phase, and the use of evolutionary algorithms for model structure selection, for the design of neuro-fuzzy systems, i.e., models that offer the transparency property found in fuzzy systems, but use, for their design, algorithms introduced in the context of neural networks. A new methodology, based on the minimization of the integral of the error, and exploiting the parameter separability property typically found in neuro-fuzzy systems, is proposed for parameter estimation. A recent evolutionary technique (bacterial algorithms), based on the natural phenomenon of microbial evolution, is combined with genetic programming, and the resulting algorithm, bacterial programming, advocated for structure determination. Different versions of this evolutionary technique are combined with gradient-based algorithms, solving problems found in fuzzy and neuro-fuzzy design, namely incorporation of a-priori knowledge, gradient algorithms initialization and model complexity reduction.

Reflexão crítica sobre o ensino de inglês e espanhol, línguas estrangeiras, e sobre o processo de formação profissional

No presente relatório, elaborado no âmbito da unidade curricular de Prática de Ensino Supervisionada, do 2º ano do Mestrado em Ensino de Línguas no 3º Ciclo do Ensino Básico e no Ensino Secundário, reflito não só criticamente sobre o ensino de Inglês e de Espanhol, línguas estrangeiras, mas também sobre o meu processo de formação profissional, mais especificamente sobre as diferenças entre as Práticas Pedagógicas Supervisionadas de ambas as especialidades, decorridas na Escola E.B. 2 e 3 Dr. António de Sousa Agostinho, em Almancil, e sobre os aspetos que contribuíram ou limitaram o meu desenvolvimento pessoal e profissional. Tendo por base os paradigmas metodológicos do Ensino Comunicativo da Língua e do Ensino da Língua Baseado em Tarefas, ao longo deste trabalho alterno, frequentemente, sobretudo durante o segundo capítulo, entre as fundamentações teóricas sobre o ensino-aprendizagem das línguas estrangeiras e as reflexões críticas sobre a minha Prática Pedagógica Supervisionada. Além disso, não deixo também de ilustrar, sempre que possível, diversas atividades e tarefas finais levadas a cabo em ambas as especialidades, a fim de demonstrar o modo como implementei as estratégias e os princípios teóricos mencionadas na revisão da literatura para a eficaz aprendizagem das línguas estrangeiras e para o desenvolvimento da competência comunicativa dos aprendentes aquando da programação das sequências de aprendizagem lecionadas.

Predicting intention to work with social robots

The growing number of robotic solutions geared to interact socially with humans, social robots, urge the study of the factors that will facilitate or hinder future human robot collaboration. Hence the research question: what are the factors that predict intention to work with a social robot in the near future. To answer this question the following socio-cognitive models were studied, the theory of reasoned action, the theory of planned behavior and the model of goal directed behavior. These models purport that all the other variables will only have an indirect effect on behavior. That is, through the variables of the model. Based on the research on robotics and social perception/ cognition, social robot appearance, belief in human nature uniqueness, perceived warmth, perceived competence, anthropomorphism, negative attitude towards robots with human traits and negative attitudes towards interactions with robots were studied for their effects on attitude towards working with a social robot, perceived behavioral control, positive anticipated emotions and negative anticipated emotions. Study 1 identified the social representation of robot. Studies 2 to 5 investigated the psychometric properties of the Portuguese version of the negative attitude towards robots scale. Study 6 investigated the psychometric properties of the belief in human nature uniqueness scale. Study 7 tested the theory of reasoned action and the theory of planned behavior. Study 8 tested the model of goal directed behavior. Studies 7 and 8 also tested the role of the external variables. Study 9 tested and compared the predictive power of the three socio-cognitive models. Finally conclusion are drawn from the research results, and future research suggestions are offered.

Um modelo bioeconómico para a gestão sustentável das florestas mediterrâneas

Tese de doutoramento, Ciências Agrárias (Território e Ambiente), Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2013

Relatório da Prática de Ensino Supervisionada do mestrado em Ensino de Informática no 3.º ciclo do Ensino Básico e no Ensino Secundário

Dissertação de mestrado, Ensino de Informática no 3.º Ciclo do Ensino Básico e no Ensino Secundário, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2014