This SAP aims to introduce numerical methods for undergraduate and postgraduate students with some basic skills on Python programming language and with some mathematics skills on differentiation and integration. The student should have some prior knowledge of working with a computer, editing files, downloading and installing software.
To accomplish our goal, this SAP provides the student with the acquisition of general skills in elementary numerical analysis. The student also acquires knowledge and techniques associated with problems and engineering sciences applications.
In this SAP we propose the use of the Python framework provided by Anaconda (www.anaconda.com) and the classes will be supported by Jupyter Notebook. It is assumed that if the students use their own computer in class, then they will have already installed in their computers the Anaconda framework.
Date
Number Hours
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Typology
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Location
Blended
Organised By
IPLeiria TUS IPCA
Certification
Programmatic synthesis
Language of instruction
ECTS credits
Academic Recognition
Means Criteria
Prerequisites
None
Scholarship Available
Admission Conditions
How to apply
Target Audience
Selection criteria
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Special Conditions
Learning Teaching Strategy
Professional Output
Workload Breakdown
Proposed Learning Outcomes
Develop abstract thinking skills and acquire fundamental concepts associated with programming language;
Know and understand the concepts of elementary numerical analysis and describe their properties;
Apply the concepts of elementary numerical analysis in modelling and problem solving;
Use basic numerical methods and understand its properties;
Use and implement specific software in numerical problem solving;
Use critical thinking in the analysis of the results obtained;
Interpret and critically analyse text, which involve knowledge of numerical analysis;
Achieve greater accuracy and clarity in thought and language.