| Code |
14710
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| Year |
1
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| Semester |
S1
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| ECTS Credits |
6
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| Workload |
PL(30H)/T(30H)
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| Scientific area |
Informatics
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Entry requirements |
There are no prerequisites.
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Mode of delivery |
Face-to-face instruction.
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Work placements |
Not applicable.
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Learning outcomes |
Introduce the basics of procedural programming. Develop algorithms to solve problems and implement them in a programming language. At the end of this course, the student should be able to develop algorithms to solve problems, master basic concepts of procedural programming, implement algorithms, know the types of simple and compound data, decision and repetition instructions, concepts, definition, and use of sub-programs, files, strings, vectors, and matrices. Linear, homogeneous, and heterogeneous data structures. Basic and introductory notions of object-oriented programming.
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Syllabus |
1) Introduction to procedural programming;
2) Variables, data types, and operators;
3) Conditional instructions;
4) Repeat instructions;
5) Homogeneous data structures;
6) Modularity in programming;
7) File manipulation;
8) Heterogeneous structures, classes, and objects.
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Main Bibliography |
Programação em Python - Fundamentos e Resolução de Problemas. Ernesto Costa. FCA 2015, ISBN: 978-972-722-816-4.
Head First Python, 2nd Edition. Paul Barry. O'Reilly Media, Inc. 2016, ISBN: 9781491919538.
Python Programming for Beginners. AMZ Publishing, 2021.
Slides of the theoretical classes provided by the lecturer.
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Teaching Methodologies and Assessment Criteria |
Assessment by "frequency" will involve continuous work throughout the semester. There will be two mini-tests (MT, worth 20% each) and a written test (TE, worth 50%) at the end of the semester. In addition, student work will be continuously monitored during practical classes, this component being designated as AP and worth 10% of the final attendance grade. Thus, the frequency classification formula (CF) will be as follows:
CF = 0.1 x AP + 0.2 x MT1 + 0.2 x MT2 + 0.5 x TE
Obtaining CF >= 9.50 implies approval by frequency and CF < 6.00 implies a failure of the “Not Admitted” type. The classification in examination (CE) will be calculated taking into account the following:
CE = 0.1 x AP + 0.9 x TE (exam)
Attendance: > 90% – maximum two absences in T and two in PL. A greater number of absences implies failure in attendance, having to go to the exam.
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Language |
Portuguese. Tutorial support is available in English.
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