Código Oficial: | 9687 |
Sigla: | BINF |
Descrição: | A Bioinformática surge no interface entre as disciplinas de Ciências Biológicas, Informática e Matemática e é uma área emergente que foi fortemente impulsionada pela sequenciação de genomas. A combinação de competências e conhecimentos obtidos fornecem uma base sólida para uma ampla gama de oportunidades de emprego ou estudo mais aprofundado para níveis mestrado ou doutoramento. Este curso permite o acesso à Ordem dos Engenheiros Técnicos. |
To acquire some calculus techniques which are widely used in other curricular units; among these techniques we highlight matrix techniques, representation of linear equation systems and their resolution, determinants and their applications as well as linear spaces and linear transformations.
The goal is to carry on developing the mathematical reasoning initiated in highschool education, in order to be able to meet the demands of other curricular units. On completing this curricular unit, students should have acquired the necessary skills in differential calculus and integration of functions of one variable, including the fundamental theorems of calculus.
At the end of the curricular unit, students must achieve as main goals:
Learning objectives (knowledge, skills, and competencies to be developed by students):
This curricular unit is designed primarily to provide to the student an overview of boinformátics as an interdisciplinary science that allows the storage and analysis of large volumes of biological information, involving biochemists, biologists, mathematicians and experts in the latest informatic techniques applied to Biological and Chemical sciences. In addition, it is intended with this curricular unit to introduce the student to several fields of action and application of bioinformatics.
The goal is to carry on developing the mathematical reasoning initiated in Mathematical Analysis I and apply it, in this case, to functions of several variables, to be able to meet the demands of other curriculum units.
The objective of this curricular unit is to increase the knowledge about the basic functional unit of all living beings – the cell, in terms of its composition, dynamic and functioning.
O aluno dever ser capaz de aplicar as medidas descritivas apropriadas aos dados em estudo; proceder a uma amostragem correcta e identificar as restrições e os limites da representaBvidade de uma amostra; identificar distribuições de probabilidades e saber calcular probabilidades mediante a distribuição em causa; diferenciar e saber utilizar a estimação pontual e a estimação por intervalos de confiança; saber formular hipóteses de investigação e proceder à sua análise a partir de testes de hipóteses.
The objectives for students are: to become familiar with formulas, structures, nomenclature and concepts in the field of organic chemistry; to recognize the importance of a given molecule, the role and distribution of electrons that can intervene in organic reactions; to classify the reactions of organic compounds; to understand the chemical reactions and justify mechanistically these reactions. Apply the knowledge of the reactivity of different functional groups in order to obtain new compounds; to acquire the concept of geometry of molecules in space associated with the study of stereochemistry.
It is intended that students acquire skills to access profession as chemical engineering professionals in the chemical or biological in general and, in particular, in the pharmaceutical, agrochemical, food and biochemistry, or related fields, and in public services.
It is intended in this course to convey concepts of probability and statistics so that students know and understand applying advanced statistical techniques for multivariate statistical description, whose purpose is to summarize and describe the most relevant aspects in a data set.
Fundamental notions will be addressed in sampling theory and discrete and continuous probabilistic models. The approach to statistical inference with reference to the hypothesis tests will be explored in more detail.
The theoretical approach will be accompanied by examples related to biology. It is also intended that the knowledge acquired in this curricular unit provides a solid basis for other curricular units in the syllabus.
The objective of this curricular unit is the knowledge and understanding of the properties and structure of the foremost classes of biomolecules (sugars, lipids, proteins and nucleic acids), their interactions with the solvent water, and the mechanisms by which they react in a controlled manner in the context of the living cell.
The UC aims to understand the notion of algorithms as the formalization of the solution to a well- determined problem in a sequence of elementary actions. To be able to analyse a given algorithm and predict the outcome of its implementation. To be able to draw in a natural language algorithms and pseudo-code.
Understanding computer programming as a way of describing algorithms in a formal language capable of being executed on a common use computer. To know the basic principles of programming: variables; basic types; expressions and assigning values to variables; decision instruction; cycle instructions; lists, and arrays. Understanding the traditional development cycle of software: design, programming and testing. Apply knowledge of these basic principles to an appropriated Python programming language. Be able to translate an algorithm given in a complete programing language, such as Python, Perl, to be able to solve a given problem making your design, programming and testing.
Students who complete this course successfully should be able to :
- Know a set of non-conventional threads to enable a scalable data management, as well as the use of parallel algorithms and statistical modeling, with and without the use of the cloud ;
- Be proficient in an ecosystem of tools and platforms to allow them, in the face of a concrete problem, to determine the solution to be applied and the tools to be used in storage, exploration and analysis of large volumes of data.