|Responsible unit:||Department of Mathematics|
|Course/CS Responsible:||Master's degree in Bioinformatics and Computational Biology|
|Acronym||No. of Students||Study Plan||Curricular Years||Credits UCN||Credits ECTS||Contact hours||Total Time|
|E:BBC||0||PE_Bioinformatics and Computational Biology||1||-||6||42||162|
|M:BBC||4||The study plan since 2018||1||-||6||42||162|
|M:DS||1||Official Study Plan since 2018_M:DS||2||-||6||42||162|
|André Ribeiro da Silva de Almeida Marçal|
The course presents the main concepts and techniques of digital image processing and analysis. The main goal is that in the end of the course the students will be able to plan and implement algorithms for information extraction from images.
The course orientation focus on the understanding of concepts and methods, and its effective use in synthetic and experimental data analysis. The course makes an extensive use of advance computational tools (MATLAB).
The classes are all of type theoretical-practical (TP). Some classes are used to present concepts and methods, illustrated with a variety of examples, whereas others are used to for the resolution of problems and projects, with a strong computational component in a laboratorial environment using MATLAB (Matlab - Image processing Toolbox).
The practical assignment contain a variety of proposed exercises, using both synthetic and experimental data. These exercises cover the range of topics and methods presented in the course, and have various levels of difficulty. The level of autonomy expected from the student is also varied (increasing), which should lead to the achievement of the course objectives in the end of the semester.
The classes are all of type TP (Theory / Practical). Some classes are used to present concepts and methods, illustrated with a variety of examples, whereas others are used to for the resolution of problems and projects, with a strong computational component in a laboratorial environment using MATLAB (Matlab - Image processing Toolbox).
|Trabalho prático ou de projeto||40,00|
|Elaboração de projeto||40,00|
|Frequência das aulas||56,00|
The practical assignments are compulsory, with corresponding submission of the reports required within the fixed schedules, and with a minimum level of 40% (8 marks on a 0-20 scale).
The course final mark will be based on the following items: (1) practical assignment (40%), (2) mini-test (20%), (3) mini-project (40%). In items (1) and (3), the student will have to reach a minimum level of 40% (8 marks on a 0-20 scale).
Items (1) and (2) of the final mark formula are not eligible for classification improvement.
Prof. André Marçal
Prof. Ana Paula Rocha