07276 - Computer Science

Learning outcomes

The student will learn a programming language and will be able to design programs using simple algorithms and data structures.

Course contents

Computer science and problem solving. Abstract machines. Python machine. Programming in Python: names and visibility, functions, immutable and mutable objects, basic data structures (strings, tuples, lists, dictionaries) and their use in the solution of problems. Representation of information. Structure of the Von Neumann machine. Limitations of effective procedures: non decidable problems. 
 
Part of the course is given by Dr. Davide Bresolin. The course involves an important lab activity, where the instructors is joined by a teaching assistant and other senior students in giving assistance to students.

Readings/Bibliography

Allen B. Downey. Python for software design. Cambridge University Press, 2009. ISBN 0521725968.
On-line manuscript: http://greenteapress.com/thinkpython/

Some lecture notes will be make available during the course.

Teaching methods

Lectures.   
Guided experimentations in computer lab.

The course involves an important lab activity, where the instructors is joined by a teaching assistant and other senior students in giving assistance to students.

Assessment methods

There is a single exam covering the lectures of prof. Martini, those of prof. Dal Lago, and the lab. Tests in lab during lectures will be given during the semester. 
Project. Written examination.
The project is waived for the students in Philosophy.

Teaching tools

Computer lab.
Info and material available at http://www.cs.unibo.it/~martini/MATH/

Links to further information

http://www.cs.unibo.it/~martini/MATH/index.html

Office hours

See the website of Simone Martini

See the website of Davide Bresolin