07276 - Computer Science

Course Unit Page

Academic Year 2018/2019

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. Abstract data types: queues, stacks, binary trees. Representation of information. Structure of the Von Neumann machine. Limitations of effective procedures: non decidable problems.

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
Think Python 2e.
O'Reilly Media, 2012. ISBN 978-1449330729.
On-line manuscript: see http://www.cs.unibo.it/~martini/MATH/index.html [http://greenteapress.com/thinkpython/]

Jessen Havill
Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming
Chapman and Hall/CRC. ISBN 9781482254143

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 and the lab. Tests in lab during lectures will be given during the semester.

Project and 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/

Office hours

See the website of Maurizio Gabbrielli

See the website of Giuseppe Lisanti