![]() ![]() Probability and Random Processes, Wiley Goldstein, L. Introdução à Análise Matemática, Fundação Calouste Gulbenkian Krishnan, V. The Student Edition of MATLAB, 5th Version, Prentice-Hall Materiais científico-pedagógicos (slides, notas de desenvolvimento, código e pseudo código, fichas de exercícios e problemas) disponibilizados pela equipa docenteScientific-pedagogical materials (slides, lectures, code and pseudo code, exercise sheets, problems) provided by the teaching team. Estatística Aplicada, vol.1 (6a Ed.), Edições Silabo Hanselman, D., Littlefield B. Lisboa: Escolar Editora Reis, E., Andrade, R., Calapez, T. Ana?lise de Dados e Estati?stica Descritiva. Álgebra Linear: Teoria, Exercícios Resolvidos e Exercícios Propostos com Soluções, Escolar Editora Silvestre, A.L. Ca?lculo, Vol I, Cengage Learning, (7a Ed.) Cabral I., Perdigão, C. Confidence intervals.Īpproval with classification not less than 10 points (1-20 scale) in one of the following modalities: - Periodic assessment: 4 mini-tests on classes of 15 minutes duration (4*10%) + Test on the first examination period (40%) + practical work in Python (20%) done in groups of 2-3 students, or - Assessment by Examination (80%), in any of the examination periods + practical work in Python (20%) done in groups of 2-3 students Quantitative and qualitative variables in statistics. Linear approximation and Taylor approximation. Derivative of composed functions - chain rule. ![]() Limits of a function at a point, Concitnity at a point. Elementar functions, Different type of functions. More emphasis is given to the choice of problems in the area of optimization. Problem-solving and other content application activities are contextualized in subjects of the courses to enhance the acquisition of practical skills they also contribute to the development of various intellectual capacities, which are fundamental to a solid individual education. This curricular unit is intended to provide the knowledge and skills in algebra and geometry essential to approach priority contents in other curricular units and to develop mathematical reasoning, language clarity and calculation ability in a context of problem-based learning. Mathematical Problems in Data Science: Theoretical and Practical Method Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. Jones, Big Data in Cognitive Science (Frontiers of Cognitive Psychology), Taylor & Francis, 2016F. Miller, Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python. Lane, Big Data and Social Science: A Practical Guide to Methods and Tools, 1st Edition. Mathur, Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance. 2017Wickham, Hadley, and Garrett Grolemund. Dasgupta, Practical Data Science Cookbook, Second Edition. New York: springer.Han, J., Pei, J., & Tong, H. 'Doing Data Science: Straight Talk from the Frontline'. Resolution of 2 to 4 exercises/case analysis/individual challenges (R)2 group assignments (TG1 + TG2) - Groups between 4-6 students.1 oral presentation/individual written presentation (A)Final grade = R*0.3 + TG1-2*0.5 + A*0.2Students who were not successful in the periodic assessment (minimum 10 points) are submitted to a recourse exam worth 100% of the grade. The concept of customer concepts of health and safety privacy and communication in health quality, auditing and process improvement. ![]() Specifics of health organizations production in Health models of care delivery health human resources and their internal relationships ĬP6. Importance of professional secrecy and data anonymization ĬP5. Ontology in health, concepts and specific language and the importance of its correct use ĬP4. General architecture of health services in Portugal and articulation between them: proximity health care units: Health Centres, Family Health Units, ACES, ULS the hospital units: hospitals, hospital centers and specialized hospitals ĬP3. General concepts on the structure of the NHS ? central and regional management bodies and proximity healthcare ĬP2. Communication in health and models of health care provision. This curricular unit has, as a general objective, to give students knowledge about organizational models of public and private health services in Portugal, management and production models in health. ![]()
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