Data Processing in Biotecnology

Code: QUI13555L

3 ECTS

Duration: 15 weeks/78 hours

Scientific Area: Chemistry

Teaching languages: Portuguese

Languages of tutoring support: Portuguese, English

Regime de Frequência: Presencial

Sustainable Development Goals

Educação de qualidade - Assegurar a educação inclusiva, e equitativa e de qualidade, e promover oportunidades de aprendizagem ao longo da vida para todos.

Learning Goals

This curricular unit aims to stimulate and develop the students' abilities to analyze both qualitative and quantitative data. To know methods of analysis that seek to respond to the stability/variability of biotechnological processes. Based on previously collected data, methods of linear analysis and nonlinear analysis will be approached in order to build representative models of observed behaviors. At the end of the course, students should be able to use the computer in the analysis, processing, visualization and description of the data, outline data processing strategies and choose the one that best fits the problem under study. It is also intended that the student is able to apply the knowledge acquired in other Curricular Units, namely with regard to the description, presentation and visualization of raw and processed data.

The use of computers in science, applied to the chemical and biotechnological processes.
Conventional methods for data processing.
Visualization and description of data.
Unconventional methods for data processing (models inspired by nature and their applications, introduction to intelligent systems, applications to biotechnological processes).
Computer simulation of biotechnological processes.

Teaching Methods

Teaching and learning is based on the individual work of the student, supported by the recommended reading and by the notes taken by the students during the contact hours and during individual research by the student himself, whenever possible, in the facilities equipment of the University. The classes are not purely expository but accompanied by practical activities and interspersed with classes for the orientation of the learning process.

The assessment will be based in two components, a theoretical component (60%) and a project component (40%). The approval in the theoretical component can be achieved by one final exam or by partial exams. The approval in the project component is obtained by the elaboration of written reports and by oral presentations and discussion of some proposed activities.