Programming
Python
Scripting

Upon completing this curricular unit, the student should be able to:
1. Identify the potential of a programming language to solve a particular problem, given its specific context and environment.
2. Have a deep knowledge of the principles, mechanisms, syntax and semantics of a particular multi-pardigm programming language (Python).
3. To analyze and develop effective software programs which take advantage of the features of the programming language to solve concrete mathematical problems.
4. To integrate, in a user-transparent way, two or more components of different technologies/programming languages.

1. Installation and introduction to Python
2. Syntax and control structures
3. Data Structures and control flow
4. Interoperability
5. Application to mathematical problem solving

1. Langtangen HP "A Primer on Scientific Programming with Python", Springer. ISBN 978-3642302923.
2. Python Documentation. http://www.python.org/doc/
3. Textos de apoio elaborados pelo professor.
4. Tutoriais de pacotes de software a integrar com scripts Python.

E-learning

The assessment is of an individual and continuous character and will consist of two factors: the quality of the developed Python programs, measured by (1) their ability to solve effective and efficiently the proposed mathematical problems; (2) correctness of the code, at a structural and forma level; and (3) existence of plus-values (85%), and student pro-activity in the collaborative learning activities, measured by the quantity and quality of issues raised in discussion forums and/or responses to them (15%). The assessment details are presented in the curricular unit’s Learning Contract.