| CODE | 109203 |
|---|---|
| ACADEMIC YEAR | 2023/2024 |
| CREDITS |
|
| SCIENTIFIC DISCIPLINARY SECTOR | INF/01 |
| LANGUAGE | English |
| TEACHING LOCATION |
|
| SEMESTER | 1° Semester |
| TEACHING MATERIALS | AULAWEB |
The course is intended to refresh fundamental concepts in programming, data structures and algorithms, providing useful background knowledge for many courses of the Master Degree in Computer Science.
Refreshing the fundamental concepts in programming, data structures and algorithms using the Python language and introducing students to the use of the numpy library.
The student should acquire the skills to create simple applications using the Python language, the ability to empirically evaluate their performance and to choose the best data structures, among those available in the language, to carry out certain tasks. In particular, the student should be able to
use the online documentation on Python and some of its libraries
analyze pieces of programs (written in Python) and understand how they work
modify, run and test small programs
starting from an informal specification of a problem, design and write (parts of) programs that solve the problem
Teaching takes place over 12 weeks, each week normally consists of 4 hours of classroom lessons (lessons may be recorded on MS Teams, for the benefit of foreign students abroad) and at most 1 weekly home assignment related to the topics covered so far in the course.
It is assumed that students have a laptop with anaconda3 installed. Assistance to install anaconda3 and to use Jupyter Notebook will be provided at the start of the course.
Home assignments can be done in group (of at most 3 students) and must be uploaded on aulaweb at specified deadlines.
Language constructs: expressions, assignments, conditionals, iteration, functions, recursion, exceptions, list comprehension.
Data structures: lists/sequences, dictionaries, sets
Algorithmic techniques: divide-and-conquer, list processing, memoization, staging
Numpy library: arrays,linear algebra operations
https://docs.python.org/3/ online documentation
https://greenteapress.com/wp/think-python-2e/ free book (pdf/html)
Further material (including video recordings) will be made available on aulaweb.
Office hours: See the aulaweb module and as second alternative the web page https://person.dibris.unige.it/moggi-eugenio/
In agreement with the calendar approved by the Degree Program Board of Computer Science.
All class schedules are posted on the EasyAcademy portal.
The exam (of at most 3 hours) consists of programming exercises done individually in DIBRIS SW labs and submitted on aulaweb. After submission a possible solution will be made available, and students have a limited time (at most 18 hours) to confirm the submission. Only confirmed submissions are evaluated, and if they are rated less than 10/30, the student accumulates a penalty of 1 point on a future final mark.
The final mark is given by the weighted average (rounded up) of the scores obtained in the two parts
minus the accumulated penalty points. The exam is passed if the final mark is at least 18/30.
The two parts assess the programming skills acquired by the students in different context:
| Date | Time | Location | Type | Notes |
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