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.
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. On completing the curriculum unit, the students should have acquired the necessary skills in differential calculus and integration of functions of several variables, including the fundamental theorems of calculus. They should also be able to solve some differential equations that appear in several applications of engineering.
The student should be able to design, conceive and implement
databases using the relational database model.
Concepts, various models and existing database systems are
presented. It is intended that the student acquire the ability
to describe the architecture of a Database Management System
and use a database construction tool with this approach.
In this context, it should understand the transactional
operation, the mechanisms of competition, security and
fault tolerance and authorization/authentication in a DBMS.
It is also objective for the student to acquire skills in
analyzing and extracting information from the database.
Data definition and data manipulation languages will be
presented.
For the practical component, among the available tools,
a reference client/server architecture database on the
market will be used.
Students should be able to apply statistical description methods, including both univariate and bivariate analysis, in common engineering applications.
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.
This curricular unit is designed primarily to provide students with an integrated view of the structure and function of genomes, taking into account their methods of sequencing, annotation and analysis. In addition, at the end of the semester it is expected that students know the latest methods of genetic analysis at the RNA level and protein expression, in addition to understand the functioning of cells in an integrated and comprehensive manner.
Students are expected to recognize the importance of Information Safety and ethical codes. In the end of the curricular unit students should be able to:
(O.1) Reflect on the role of information and its security in the current social and organizational context.
(O.2) Understand the need to apply codes of conduct to the different organization activities;
(O.3) Produce Information Security Policies and Ethical and Conduct Codes in the framework of the organization strategy;
(O.4) Know and apply the national and international rules on information security and ethics to support, within the rules, the implementation and use of Ethical and Conduct Codes and Information Security Management System.
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.
. Acquire a conceptual, deep and specialized
knowledge about Entrepreneurship.
. Critically understand the theories and principles
of Entrepreneurship.
. Conceive creative solutions and innovate both in
the context of creating new companies and in existing
companies.
. Solve complex and unpredictable problems related to
business environments.
. Apply strategic planning tools for the creation
and development of new businesses.
. Develop business plans for business creation.
. Take responsibility for individual and collective
development as an entrepreneur on their own or for others.
. Develop autonomy with regard to decision making and
problem solving in the context of creating the company
itself or existing companies in a proactive, innovative
way, generating sustainable value.