COMPUTER, ELECTRONIC AND COMMUNICATIONS ENGINEERING

Professor: Jacopo ALEOTTI
Academic discipline: Sistemi di elaborazione delle informazioni (ING-INF/05)
Field: Ingegneria informatica
Type of training activity: Characterising

63 hours
of face-to-face activities

9 credits

hub: PARMA

course unit
in - - -

lectures timetable unavailable

exam calls

Learning objectives

The aim is to provide students with skills in the context of design and analysis of computer algorithms, and in particular:
- Fundamentals of static and dynamic data structures
- Sorting and searching algorithms
- Generic programming
Applying knowledge and understanding:
- Design and development of algorithms in C++ language
- Use of basic data structures for problem solving
- Analyze and describe the complexity of algorithms

Prerequisites

Adequate knowledge of C++ is recommended.

Course unit content

This course introduces the fundamental concepts about algorithms and data structures in C++

Full programme

Part A:
Introduction to C++ language.
Array and pointers.
Lists.
Stacks.
Queues.
Recursion.
Sorting algorithms.
Part B:
Symbol tables and binary trees.
Priority queues and heap.
Binary search trees.
Graphs.
Introduction to Standard Template Library (STL) in C++

Bibliography

Robert Sedgewick, Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching, Third Edition.

Clifford A. Shaffer, Data Structures and Algorithm Analysis Edition 3.2 (C++ Version)

Teaching methods

Classroom lectures (34 hours).
Classroom exercises (18 hours).
Laboratory lectures (20 hours).

Assessment methods and criteria

The exam consists of a laboratory examination in C++ (3 hours).

There will be two midterm examinations only for students at the first year:
Midterm 1) topics: part A.
Incidence on the final vote: 50%.
Midterm 2) topics: part B, only after sufficient evaluation of the first Midterm exam. Incidence on the final vote: 50%

The laboratory examinations consist on exercises and quizzes.

Other information

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2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.ingarc@unipr.it

Quality assurance office

Education manager:
Elena Roncai
T. +39 0521 903663
Office E. dia.didattica@unipr.it
Manager E. elena.roncai@unipr.it

FUNDAMENTALS OF PROGRAMMING cod. 14908

Learning objectives

Prerequisites

Course unit content

Full programme

Bibliography

Teaching methods

Assessment methods and criteria

Other information

2030 agenda goals for sustainable development

Contacts

Toll-free number

Student registry office

Quality assurance office

President of the degree course

Faculty advisor

Career guidance delegate

Tutor professor

Erasmus delegates

Quality assurance manager

Tutor students

FUNDAMENTALS OF PROGRAMMING
cod. 14908