| Code |
16665
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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 |
N/A
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Learning outcomes |
The objectives of this Course Unit are to: (i) introduce basic artificial intelligence and data science concepts, aiming to uniformize the knowledge of new students; (ii) approach, configure and explore programming and development environments; (ii) provide a structure and template for technical reports; and (iv), develop project management and programming skills, namely version control, build automation tasks, good practices in programming and producing documentation.
It is intended to motivate the development sense of rigor and responsibility towards the academic course and work. At the end of the course unit, the student should be able to: configure the work environment, and handle development and profiling tools with ease; manage versions of a software project; beacquanted with the command line environment and build programming projects; debug programs; and prepare high quality technical reports.
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Syllabus |
1. Introduction to Computer Science and Engineering
2. Elaboration and Structuring of Technical Reports
3. Introduction to the Command Line Environment
4. Usage of Programming Tools, Integrated Development Environments and Compilation Management
5. Planning and Implementation of a Programming Project
6. Version Control in Programming Projects
7. Good Programming Practices
8. Automatic Generation of Documentation
9. Debugging and Profiling Programs
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Main Bibliography |
Pedro R. M. Inácio, Tiago Roxo e Tiago M. C. Simões, Introdução a Conceitos Base de Engenharia Informática - Apontamentos de Apoio e Guias Laboratoriais de Laboratórios de Programação, UBI - Universidade da Beira Interior: Serviços Gráficos, September 2021, ISBN: 978-989-654-785-1. Available: https://www.di.ubi.pt/~inacio/icbei-ebook.php
Scott Chacon and Ben Straub, “Pro Git (2nd edition),” Apress, Berkely, CA, USA, 2014. [Online.] Last Access: April 9, 2017. Available: https://git-scm.com/book/en/v2
Tobias Oetiker, Hubert Partl, Irene Hyna, and Elisabeth Schlegl, “The Not So Short Introduction to LaTeX,” 2008. [Online.] Last Access: April 9, 2017. Available: http://tobi.oetiker.ch/lshort/lshort.pdf.
P. Deitel and H.M. Deitel, “C: How to Program (6th edition),” Prentice Hall, 2009
Brian W. Kernighan and Rob Pike, “The Practice of Programming,” Addison-Wesley, 1999. ISBN 0-201-61586-X.
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Teaching Methodologies and Assessment Criteria |
The contents of this curricular unit are exposed in theoretical classes (expositive and interactive methods), and its practical aspect is explored in practical laboratory classes. Each type of class has two weekly contact hours.
Practical classes are governed by laboratory guides that students run on laboratory computers. The proposed individual and group works are designed so that students develop the technical skills described in the objectives by designing and implementing labs. The theoretical and practical components are evaluated using laboratories:
- Labs 100% - 20 Values.
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Language |
Portuguese. Tutorial support is available in English.
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