- Details
- Category: Discipline
- Adobe Press, Adobe Audition CC Classroom in a Book, 2nd Edition, 2018 Adobe Press Adobe Illustrator Classroom in a Book (2020 release), 2020 Adobe Press Adobe Premiere Pro Classroom in a Book (2020 release), 2020 Adobe Press Adobe Photoshop Elements 2020 Classroom in a Book, 2020 Adobe Press Li, Z. N., Drew, M. S., Liu, J. Fundamentals of Multimedia, Springer International Publishing, 2014. Ribeiro, N. M. Multimédia e Tecnologias Interativas, FCA, 2012. Wallace, Jackson. Digital Image Compositing Fundamentals, Apress, 2015. Wallace, Jackson. Digital Video Editing Fundamentals, Apress, 2015
- Digital Communication
- 2201
- 24102
- Representation of Multimedia Elements
- ISLA Gaia2201-24102
- 1
- 6
- 0
- 27
- Não
- Português
- This course unit has two components: theoretical and practical. Classes will start with an approach to the definitions and theoretical concepts of the subjects. These will later be applied in the practical execution of worksheets, using the techniques learned with specific software. Group work will be promoted with presentations to other class members. Curricular Assessment: In-class assignments: 10% Theoretical-practical work I (Project and Report): 35% Theoretical-practical work II (Project and Report): 55% Exame All students who have not successfully completed the assessment may take a final theoretical-practical exam in the assessment period defined by the institution.
- Mandatory
- The curricular unit is intended for the student to learn the fundamentals on the following subjects: media and multimedia; digitization; compression; color and color coding; digital imaging; digital image compression; digital sound; digital video. At the end of the curricular unit, the student should be able to understand and explain the fundamentals of the processes involved in the computer representation of multimedia elements such as texts, images, sound, and video, as well as develop audiovisual projects with the concepts and techniques learned. In the context of learning social skills, it is intended to strengthen the capacities and attitudes of accountability and solidarity in the realization of group work projects.
- 1. Multimedia Concepts and Definition Interactive Multimedia Applications Multimedia Project 2. Digital Data Representation Analog vs Digital Digitalization Process 3. Data Compression Techniques Entropy Coding Techniques Source Coding Techniques Compression and Decompression 4. Media, Concepts, Modalities Perception, Representation Storage, and Transmission Media Acquisition (image, sound, and video) Interaction: Input and Output Devices. Storage. 5. Digital Image Representation and Processing Color and Color Encoding: Color Models Compression and Image Formats Vector Image Processing Programs Bitmap and Raster Image Processing Programs 6. Digital Video and Audio Video Compression and Formats Audio Compression and Formats
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Trabalhos em contexto de aula
dd-mm-yyyy
10%
Trabalho prático I
dd-mm-yyyy
35%
Trabalho prática II
55%
Todos os estudantes que não tenham concluído com sucesso a avaliação podem realizar um exame teórico-prático final na época avaliação definida pela instituição.
- Semestral
- The curricular unit allows students to acquire fundamental concepts that enable the understanding of multimedia, digital design and understand the capabilities of text, image, audio and video in visual communication.
- Details
- Category: Discipline
- Human Resources Management
- 1207
- 6587
- Organisational Behaviour
- ISLA Gaia1207-6587
- 1
- 6
- 0
- 27
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Gomes, C. (2024). Material de Apoio à Unidade Curricular de Estatística I. ISLA-Instituto Politécnico de Gestão e Tecnologia. Johnston, J. (1991). Econometric Methods. McGraw Hill. Murteira, J. F. Bento e Black, G. H.J. (1983). Estatística Descritiva. McGraw Hill. Reis, E. (2008). Estatística Descritiva (7º ed.). Editora Silabo. Murteira, B., Ribeiro, C. S., Silva, J. A., Pimenta, C. (2002). Introdução à Estatística. McGraw-Hill.
- Computing Engineering
- 6155
- 194
- Statistics
- ISLA Gaia6155-194
- 2
- 6
- 0
- 27
- Não
- Português
- Use of moodle where the student has access to digital sebentas that allows him to absorb the content through the virtual medium and when arriving at the classroom is already aware of the subject to be developed. The "inverted classroom" makes it possible to know the concepts before approaching them allowing to monetize the time and motivate the students to contribute with their own learning, awakening curiosity and proactivity. Intensify the understanding of the use of descriptive statistics in scientific studies, thus demonstrating the presence of this content in several academic publications. Use of the interactive whiteboard to make presentations more dynamic. Use of platforms (such as Zoom) to allow students who cannot be in person not to miss the possibility of integrating the class.
- Mandatory
- The basic aim of this course is to introduce the statistical tools necessary to analyze and interpret a data set and provide students with a set of techniques and statistical methods that facilitate analysis and interpretation of information.
- Descritive Statistics Basic concepts Absolute and relative frequencies Cumulative frequency Measures of central tendency: mean, median, mode Measures of non central tendency: quartiles, decis e percentiles Measures of dispersion: variance and standard deviation Measures of Skewness Measures of kurtosis Probability theory Basic concepts Classical Definition Axioms of probability Conditional Probability Independent Events Bayes' theorem Combinatory Analysis Probability Distributions Discrete distributions: Binomial, Multinomial, Hypergeometric, Poisson Poisson Approximation to the Binomial Distribution Distributions: Normal (Gauss Distribuition), Exponential and T-Student Normal Approximation to the Binomial Distribution Normal Approximation to the Poisson Distribution
1ª Alternativa - Testes Intermédios
Ponderação
1º Teste
50% 2º Teste
50% 2ª Alternativa - Teste de Avaliação Global
Ponderação
Teste de Avaliação Global
100% 3ª Alternativa - Testes Intermédios
Ponderação
1º Teste
45% 2º Teste
45% Assiduidade 10% 4ª Alternativa - Teste de Avaliação Global
Ponderação
Teste de Avaliação Global
90% Assiduidade 10% Observações:
- Os alunos terão de optar entre a realização dos Testes intermédios ou a realização do Teste de Avaliação Global. Se o aluno tiver nota inferior a 7,5 valores no 1º Teste ou desistir, não pode comparecer ao 2º Teste. A aprovação na avaliação curricular implica nota final não inferior a 9,5 valores. Os alunos não podem ter nota inferior a 7,5 valores em cada um dos testes.
- Todos os alunos inscritos à unidade curricular podem realizar o exame final na época normal desde que não tenham realizado ou obtido aprovação na avaliação curricular.
- Semestral
- The Statistics course aims to familiarize students with the basic concepts of thought, language and statistical techniques. Students should be able to recognize the usefulness and wide application of these methodologies in various contexts, in particular in their areas of study. When considering the rapidly changing world as the one we are living in, it is essential to know the probability of the occurrence of events in order to streamline decision making and make predictions.
- Details
- Category: Discipline
- IT for eCommerce
- 6616
- 24419
- WEB Seminars
- ISLA Gaia6616-24419
- 3
- 4
- 0
- 27
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Murteira, B., Ribeiro, C. S., Silva, J. A., Pimenta, C. (2023). Introdução à Estatística. Escolar Editora Murteira, Bento; Antunes, Marília (2012). Probabilidades e Estatística. Volume I. Escolar Editora. Nunes, C. (2022). Probabilidades e Estatística: Problemas resolvidos e propostos. Escolar Editora Reis, E. (2008). Estatística Descritiva (7º ed.). Edições Silabo. Reis, E., Andrade, R., Calapez, T., Melo, P. (2021). Estatística Aplicada. Edições Sílabo Santos, C. (2018). Estatística Descritiva: Manual de Auto-Aprendizagem. Edições Sílabo
- Tourism Management
- 6333
- 4944
- Quantitative Methods
- ISLA Gaia6333-4944
- 1
- 5
- 0
- 27
- Não
- Português
- To make learning a success, we have organised the process using active methodologies. The entire teaching-learning process is structured in such a way as to require students to actively participate in the construction of their knowledge process. In this sense, the transposition of the reality shown by the programme contents to the context of tourism will be encouraged. This approach will give students a better insight into the practical applicability of the content. The use of real cases also aims to develop analytical skills.
- Mandatory
- Knowledge: To know several disciplines related to statistics is necessary for other courses of the degree. Distinguish and understand the concepts of the various domains studied and their practical application, taking into account the rigorous mathematical information and conditions of applicability, even when understood intuitively. Resources to Develop for the use of the main techniques of Descriptive Statistics in the analysis of statistical data. Skills: Investigate autonomously to respond to statistical and inference problems. Develop the ability to reason, analyze, adapt to new situations and make decisions in the face of mathematical problems. Competences: Skills to apply correctly as techniques and the concepts of the different methods of definition in each subject. Develop the ability to reason, analyze and adapt to new situations
- 1. Descriptive Statistics: 1.1. Basic concepts. 1.2. Absolute and relative frequencies 1.3. Cumulative frequency 1.4. Measures of central tendency: mean, median, mode 1.5. Measures of non central tendency: quartiles, decis e percentiles 1.6. Measures of dispersion: variance and standard deviation 1.7. Measures of Skewness 1.8. Measures of kurtosis 2. Probability Theory: 2.1. Basic concepts 2.2. Classical Definition 2.3. Conditioned Probability 2.4. Independent Events 2.5. Bayes' theorem. 3. Probability distributions 3.1. Discrete Distributions 3.2 Probability distributions of continuous variables 4. Confidence intervals 4.1. Mean confidence interval 4.2. Confidence interval of difference of means 4.3. Confidence interval of variance 4.4. Confidence interval of proportions
Descrição
Ponderação
Teste 1 45% Teste 2 45% Presenças e participação
10%
- Semestral
- This curricular unit will develop a theoretical component and a practical component. The theoretical component, aiming at the introduction to the basic concepts of the discipline, will be essentially expository, trying, however, to give space for students to expose questions. As regards the theoretical-practical component, students will be challenged to put into practice the knowledge transmitted in lectures.
