PROGRAMMING AND ALGORITHMS 1

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

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General Module

Course Sheet

Course code:

000297LM1

Academic Year of enrolment:

2020

Year of supply:

2020/2021

Type of Course:

Related/Supplementary

Degree:

Course of 1st Cycle Degree in ECONOMICS AND BUSINESS INFORMATICS

Disciplinary Sector:

Computer Science

Is part of:

PROGRAMMING AND ALGORITHMS 1

Location:

PESCARA

Credits:

Programme Year:

Professor and Collaborators:

MEO MARIA CHIARA

Cycle:

First semester

Hours of classroom activity:

Individual study hours:

102

Prerequisites:

none

Objectives

At the end of the course, the student must be able to design and realize programs in Java to solve simple problems.

Learning outcomes.
To be able to
1. analyze and solve problems
2. identify
efficient solutions
3. write new code and modify existing code

All code should be written in Java, an object oriented language which is particularly indicated to
implement data structures and to project algorithms.

Contents

Introduction to programming.
Methods.
Introduction to algorithms and data structures.
Searching algorithms.
Elementary data structures.

Extended Syllabus

Introduction to programming:
Programming Elements
• Algorithms, Languages and Programs
• Variables and Types
• Constructs Base of a Programming Language
• Assignment
• Conditional Instructions
• Iterative Instructions.
Introduction to Algorithms.
- Asymptotic complexity and analysis of algorithms;
- Algorithms design techniques (divide-and-conquer, exhaustive search);
- Sorting algorithms;
- Data structures: list, stack, queue, search tree and binary tree, hash table, Heap;
- Heapsort

Recommended Bibliography

- S. Mizzaro. Introduzione alla programmazione con il linguaggio Java.
Franco Angeli. ISBN: 978-88-464-1696-1
- A. Bertossi e A. Montessor. Algoritmi e strutture dati. Seconda edizione.
CittàStudi Edizioni. ISBN: 978-88-251-7356-7

Teaching Methods

Lessons
and exercitations

Evaluation methods

Verification of learning:

*Knowledge and understanding*
The verification of the learning outcomes will be carried out through a written and oral examination (the latter being optional or potentially required by the teacher). The score of the exam is assigned by a mark expressed in 30ths and is based on both the written and oral examinations.
*Applying knowledge and understanding*
During the exam, students' ability to apply the knowledge given in the course is verified. In particular, students should be able to write programs in the Java language, and to design and analyze algorithms and data structures.

Contacts/More Information

E-mail
mariachiara.meo@unich.it

Office hours
Before and after the lessons or on request by email

Mutuations

COMPUTER TECHNOLOGY

Course degree in:

Training in:

Other courses

Course year: 1

DATABASES
6 Credits
FOUNDATIONS OF COMPUTER SCIENCE
9 Credits
PROGRAMMING AND ALGORITHMS 1
9 Credits
CALCULUS
9 Credits - Basic
MICROECONOMICS
9 Credits - Basic
PRIVATE LAW AND NEW TECHNOLOGY LAW
9 Credits - Basic
CERTIFICATE OF COMPETENCY IN TECHNICAL-SCIENTIFIC ENGLISH
6 Credits - Language/Final Examination

Course year: 2

PROGRAMMING AND ALGORITHMS 2
9 Credits
WEB PROGRAMMING
6 Credits
BUSINESS ADMINISTRATION
9 Credits - Basic
COMMERCIAL AND ECONOMIC LAW
9 Credits - Characterising
ECONOMIC GEOGRAPHY
6 Credits - Characterising
GAME THEORY
6 Credits - Characterising
INTERNET ECONOMICS
9 Credits - Characterising
LABOUR LAW
9 Credits - Characterising
MACROECONOMICS
9 Credits - Characterising
STATISTICS
9 Credits - Characterising

Course year: 3

ARTIFICIAL INTELLIGENCE
6 Credits
DATA MINING
6 Credits - Characterising
ECONOMETRICS
9 Credits - Characterising
FINANCIAL REPORTING
9 Credits - Characterising
ADVANCED PROGRAMMING
6 Credits - Related/Supplementary
INTERNET AND NETWORKING
6 Credits - Related/Supplementary
MACHINE LEARNING
6 Credits - Related/Supplementary
MOBILE SYSTEMS
6 Credits - Related/Supplementary
ADVANCED TOPICS IN COMPUTER SCIENCE
6 Credits - Elective Course
ADVANCED TOPICS IN COMPUTER SCIENCE
9 Credits - Elective Course
ADVANCED TOPICS IN COMPUTER SCIENCE
3 Credits - Elective Course
ADVANCED TOPICS IN ECONOMIC GEOGRAPHY
6 Credits - Elective Course
ADVANCED TOPICS IN ECONOMIC GEOGRAPHY
3 Credits - Elective Course
ADVANCED TOPICS IN INTERNET ECONOMICS
9 Credits - Elective Course
ADVANCED TOPICS IN INTERNET ECONOMICS
3 Credits - Elective Course
DEEPENING OF STATISTICS
9 Credits - Elective Course
ELECTIVE COURSES
18 Credits - Elective Course
IN-DEPTH STATISTICS
3 Credits - Elective Course
IN-DEPTH STATISTICS
6 Credits - Elective Course
FINAL EXAMINATION
3 Credits - Language/Final Examination
PROFESSIONAL SEMINARS
6 Credits

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PROGRAMMING AND ALGORITHMS 1