Class Computer Resources Applied to Pharmaceutical Sciences

This curricular unit constitutes itself as one of the fundamental tools for the Pharmaceutical Sciences student to become an information specialist, being able to manage, treat, and present the increasing volume of information generated in research and work processes, using the new information technologies (information systems).

Not applicable

Word processing: Typography concepts. Organization of indexes, tables, etc. Bibliographic management software (e.g. Mendeley) Mathematical equations. Group work: modifications and comments. Presentation of oral communications, posters, articles Spreadsheet: Spreadsheet basics: data entry and calculation formulas. Formatting commands, significant figures. Formulas and functions. Creating charts, pivot tables and macros. Fitting a straight line to experimental data: least squares method. Searching scientific information on the Internet: Scientific articles: Scopus and Web of Science. Physicochemical properties: NIST Chemistry WebBook and ChemSpider Proteins: PDB, UniProt Molecules in the clinic and molecular targets: drugbank and bindingdb. Drawing and visualization of molecular structures: e.g. Pymol, ChemAxon. Jamovi: Introduction and organization of data Basic descriptive and inferential statistical analysis.

Theoretical-practical classes with mandatory attendance, accompanied and guided by a teacher. Resolution of practical exercises using the computer directly. Classes take place in a room equipped with video projector and computers allowing synchronization between exposure of theoretical topics by the teacher and application by students on the computer. Assignments and frequencies are submitted only through the moodle platform.   Evaluation: The continuous assessment regime foresees two frequencies (F1 and F2), and presentation of practical group work (TG) with application to Pharmaceutical Sciences. The final classification (CF) is calculated by the following formula: CF = (TG x 0.2) + (F1 x 0.4 + F2 x 0.4) The final exam regime applies to students who opt for it, to students who fail the continuous assessment and to those who request a grade improvement, covering the entire syllabus. Assignments and exams are only submitted via the moodle platform.

António Martins, Aprenda Excel com casos práticos, 1ª Edição, Edições Silabo, 2019. ISBN: 978-972-618-996-1 Lambert J., Frye C., Microsoft Excel Step by Step (Office 2021 and Microsoft 365), Pearson Education, Inc., 2022. ISBN: 978-0137564279 Lambert J., Microsoft Word 2019 Step by Step, Pearson Education, Inc., 2019. ISBN: 978-1-5093-0587-2 Navarro DJ and Foxcroft DR, Learning statistics with jamovi: a tutorial for psychology students and other beginners, 2022. http://learnstatswithjamovi.com Natália Cordeiro, Alexandre Magalhães,, Introdução à Estatística: Uma Perspectiva Química, LIDEL- Edições Técnicas Lda, Lisboa, 2004. ISBN: 978-972-757-276-2 Kate L. Turabian, A manual for writers of research papers, theses, and dissertations: Chicago style for students and researchers, 7th edition, The University of Chicago Press, Chicago, 2007.