PROGRAMMING METHODOLOGIES
cod. 16433

Academic year 2021/22
2° year of course - Second semester
Professor
Enea ZAFFANELLA
Academic discipline
Informatica (INF/01)
Field
Formazione informatica di base
Type of training activity
Basic
48 hours
of face-to-face activities
6 credits
hub:
course unit
in ITALIAN

Learning objectives

Knowledge and understanding
Object Oriented Programming is based on a few principles (encapsulation, inheritance, polymorphism, etc.) that years of experiences have shown to be fundamental for the design and development of clear, concise, reusable and
maintainable software. Tools and techniques that support an object oriented methodology are provided by most of the mainstream programming languages. The course will present the advanced characteristics of the C++ programming language, showing how these can be exploited to achieve the goals mentioned above.

Applying knowledge and understanding
Each programming concept presented in the course will be explained in the context of a minimal working example, so as to highlight its essential characteristics.

Making judgements
The study of alternative solutions to the same problem will allow for a critical comparison of the different approaches, so as to highlight those contexts where a specific technique is to be preferred to alternatives.

Learning skills
The study and application of the main programming techniques on simple examples is propedeutic to their adoption in more general contexts, where it is also necessary to address the possible interactions between the many components of the system under design.

Prerequisites

A working knowledge of the imperative fragment of the C++ language is assumed.

Course unit content

A summary of C++: data types; expressions; statements; functions; scope and life cycle; function overloading; classes.
Introduction to the new constructs of the ISO C++ 2011 standard.
Programming by contract: pre-conditions, post-conditions and class invariants.
Initialization, assignment and destruction; copy vs move.
Exceptions and resource management; dynamic memory management techniques.
Single inheritance: containment versus private inheritance versus public inheritance.
Dynamic polymorphism: virtual functions; the Liskov's substitution principle.
Design of software interfaces: concrete types, abstract types, interface classes and implementation classes; multiple and virtual inheritance.
Static polymorphism: function templates and class templates.
The Standard Template Library: containers, iterators and generic algorithms; function objects.
Development environment: the compiler g++; the debugger gdb; automating the software build process: make; version control: git.
Documentation of software interfaces: doxygen.

Full programme

Bibliography

B. Stroustrup.
The C++ Programming Language,
Fourth Edition, Addison-Wesley.

S. Lippman, J. Lajoie.
C++ Primer,
Third Edition, Addison-Wesley.

B. Eckel.
Thinking in C++, Volumes 1 and 2,
Second Edition, 2003.

Teaching methods

Lectures and guided exercises.

Assessment methods and criteria

Note: assessment methods may be modified depending on the evolution of the sanitary emergency.
The exam consists of a written test and an optional oral interview.
The written test is composed of exercises and open questions on the course contents; the oral interview consists in further questions on the course contents and/or a discussion of the written test. The oral interview, if any, must occur in the same exam slot as the written test.
Students with a grade between 18 and 25 in the written test will pass the exam (without the oral interview); the oral interview is reserved to students with a grade greater than 25 or between 16 and 17 in the written test.
There will be a mid-term written test with exercises on the first part of the course contents; students passing the mid-term test will be dispensed with part of the final written test and their grade on the mid-term test will concur in forming the overall grade of the written test. The mid-term test keeps its validity for all the exam slots of the corresponding academic year.

Other information

2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.scienze@unipr.it
T. 0521 90 5116

Quality assurance office

Education manager
dr. Claudia Buga
T. 0521 90 2842
Office e-mail: smfi.didattica@unipr.it
Manager e-mail: claudia.buga@unipr.it

President of the degree course

Prof. Alessandro Dal Palù
E. alessandro.dalpalu@unipr.it

Faculty advisor

Prof. Vincenzo Arceri
E. vincenzo.arceri@unipr.it

Career guidance delegate

Prof. Roberto Alfieri
E. roberto.alfieri@unipr.it

Tutor Proffesors

Prof. Enea Zaffanella
E. enea.zaffanella@unipr.it

Erasmus Delegates

Prof. Roberto Bagnara
E. roberto.bagnara@unipr.it
Student tutor dr. Anna Macaluso
E. anna.macaluso@studenti.unipr.it

Quality assurance manager

Prof. Roberto Alfieri
E. roberto.alfieri@unipr.it

Internships

Prof. Roberto Alfieri
E. roberto.alfieri@unipr.it

Tutor students

Tutor a.a. 2021-2022 dr. Francesco Manfredi
E. francescosaverio.manfredi@studenti.unipr.it

Student representatives: 
Greta Dolcetti 
Massimo Frati
Davide Tarpini