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Main Bibliography |
- Sobral, S. (2023). Introdução à Programação usando Python. Silabo.
- Carvalho, A. (2021). Práticas de Python - Algoritmia e Programação. FCA.
- Downey, A. (2015). Think Python - How to Think Like a Computer Scientist. O'Reiley. Green Tea Press
- Severance, C. (2013). Python for Everybody - Exploring Data Using Python
- Miller, B., and Ranum, D. (2011). Problem Solving with Algorithms and Data Structures using Python: Interactive Edition
- Stefanie Molin (2019). Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python. Packt Publishing.
- Chang, J., Chapman, B., Friedberg, I., Hamelryck, T., de Hoon, M., Cock, P., Antao, T., Talevich, E. and Wilczynski, B. (2023). BioPython Tutorial and Cookbook. https://biopython.org/wiki/Documentation
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Teaching Methodologies and Assessment Criteria |
For frequency assessment----------------------------------------------------------
Theoretical grade = 50% final grade
Practical grade = 50% final grade
Theoretical grade = 23% 1st test + 23% 2nd test + 4% individual work.
Practical grade = 50% final work (done in group, with individual assessment)
IN EXAM----------------------------------------------------------
Theoretical grade = 50% final grade
Practical grade = 50% final grade
Theoretical grade = 50% exam
Practical grade = 50% final work (done in group, with individual assessment)
If the practical and theoretical grade differ more than 4 values, the student will be subject to an extraordinary assessment, being the final note the one resulting from this assessment.
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