Algorithmic Techniques in Python (Moggi) - 20 hours (2h per week)
Section outline
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- Aims. Review some well-established algorithmic techniques for problem solving by exploiting the features offered by Python.
- Prerequisites. Basic knowledge of Algorithms and Data Structures and some high-level programming language is essential.
- Exam. A lab test consisting of programming exercises done individually in DIBRIS SW labs and submitted on aulaweb.
- Student assistance hours (by Eugenio Moggi): at the end of lectures or on teams (TIME to be agreed).
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Learning outcomes, teaching methods, syllabus, teaching material, exam.
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