FUNDAMENTALS OF COMPUTER SCIENCE + PROGRAMMING LABORATORY (MODULE 1)
cod. 1004157

Academic year 2011/12
1° year of course - First semester
Professor
Academic discipline
Sistemi di elaborazione delle informazioni (ING-INF/05)
Field
Matematica, informatica e statistica
Type of training activity
Basic
48 hours
of face-to-face activities
6 credits
hub: -
course unit
in - - -

Learning objectives

Learning the basic concepts of computer science and being able to develop simple computer programs, following the object-oriented paradigm. The main programming language used in this course is C++.

Prerequisites

None. However, the student is supposed to know the basic computer and Internet operations - the equivalent of modules 1, 2, 3 and 7 of ECDL (European Computer Driving Licence) Syllabus.

Course unit content

Introduction to computer science, data representation, languages and abstract machines, computer systems, software development. C++ language, data collections and streams, functions, classes and objects, graphical interfaces, memory management.

Full programme

Introduction to computer science (26 hours, in classroom)
1. Introduction: computer science, problems, algorithms, object-oriented systems.
2. Data representation: two’s complement and floating point notations, boolean algebra, text representation, ASCII and Unicode encoding, HTML and CSS, image and sound representation.
3. Languages and abstract machines: finite state automata, regular expressions, Touring machine, von Neuman architecture, programming languages and paradigms, computational complexity, searching and sorting algorithms.
4. Computer systems: operating systems, relational databases, SQL, computer networks, World Wide Web, HTTP, PHP, Javascript, AJAX.
5. Software development: development methodologies and software quality, debugging, versioning, contracts, assertions, exceptions, testing.

Object-oriented programming (22 hours, in classroom)
1. The C++ language: program structure. elementary data types, constants, variables, expressions, condictions, cycles, nesting.
2. Data collections and streams: vectors, matrices, maps, reading and writing data, console, files, strings.
3. Functions: scope of identificators, parameter passing methods, stack and activation records, recursion.
4. Classes and objects: encapsulation, dynamic allocation of objects, associations among classes, inheritance and polimorphism.
5. Graphical interfaces: Qt libraries, layout of elements, buttons, menus, signaling mechanisms, events, timers, scenes with animated elements.
6. Memory management: iterators, pointers, arrays, arrays of characters, dynamic memory management.

Bibliography

D. Mandrioli, S. Ceri et al.: Informatica arte e mestiere. McGraw-Hill (2008).
B. Eckel: Thinking in C++. Prentice-Hall (2000).
A. Koenig, B.E. Moo: Accelerated C++: Practical Programming by Example. Addison-Wesley (2000).

Teaching methods

Lessons in classroom, presenting slides which are provided in advance. Solution of exercises in classroom. Programming exercises in laboratory.

Assessment methods and criteria

The examination consists of a test about theory (brief exercizes and quizzes to answer in about half an hour), a programming test (an object-oriented program in C++, to develop in about 3 hours) and a talk. A constant and particularly effective participation to exercitations could exonerate from the final programming test.

Other information

Alternative textbooks
J.G. Brookshear: Informatica. Una panoramica generale. Pearson (2012).
U. Avalle, L. Console, M. Ribaudo. Introduzione all'informatica. UTET (2010).

E. Clementini: Fondamenti di Informatica – Programmazione strutturata in C++. Carocci (2006).
B. Stroustrup: Programming: Principles and Practice Using C++. Addison-Wesley (2008).
H. Schildt: C++: A Beginner's Guide. McGraw-Hill (2003).
S. Prata: C++ Primer Plus. Addison-Wesley (2011).
L.J. Aguilar: Fondamenti di programmazione in C++. McGraw-Hill (2008).