Degree program
Degree course name in English: Computer Engineering
Degree course name in Italian: Ingegneria InformaticaLevel of qualification: Master’s Degree Programme
Department: INGEGNERIA DELL’INNOVAZIONE - INNOVATION ENGINEERING
N° Credits: 120
International program: Yes
Type of program:
taught in English
International partners:
not available
Language:
- ENGLISH
Ecotekne, Dipartimento di Ingegneria dell'Innovazione S.P. 6, Lecce – Monteroni, LECCE
The Master of Science Degree in Computer Engineering, delivered in English, aims to deepen the various fields of application of Computer Engineering. It provides a solid scientific and technical basis, with in-depth studies in line with the need for innovation in the field of Computer Engineering. The program is aimed at training specialized professionals, able to design, develop, analyze and integrate heterogeneous computing systems. These objectives are pursued by providing an accurate preparation in different fields: computer networks; software applications and information systems; high performance computing; decision support systems; computer vision and automation. Students are provided with knowledge and skills allowing them to identify, formulate, analyze, and solve problems related to the development of highly complex systems, processes and services in the specific field of computer engineering as well as in many other other different contexts in which information technologies play an important role.
The quota reserved to non-EU students residing outside Italy is 20 seats.
Admission to the Computer Engineering degree programme requires a Bachelor of Science in Information Engineering, Computer Science or other equivalent and approved qualification obtained abroad. Also requires is at least level B2 proficiency in English. Prospective students must demonstrate possession of at least 40 credits in the scientific-disciplinary fields indicated for basic training activities and possession of at least 60 credits in the scientific-disciplinary fields indicated for the training activities characterizing the disciplinary areas of the Bachelor's Degrees pertaining to the Class of Information Engineering or Computer Science. There are compulsory checks of possession of these requirements.
Graduates carry out professional activity in fields, such as those of planning, analysis, design, testing, production, operation, adaptive and perfective evolution in private companies and public bodies that realize simple and complex products and services in the ICT sector or that make intensive use of information technologies to support their production processes and work organization. Graduates carry out project management, analysis, development, system integration and validation in IT industries operating in the areas of hardware and software production; in automation and robotics industries; in companies operating in the area of information services and computer networks; in IT services companies.
The degree is awarded after passing the final exam, which requires the student to present his/her thesis to the members of the Degree Committee, with the aim of verifying the maturity acquired and the graduate's ability to present the arguments. The final exam must be an important individual training opportunity to complete the curriculum. Therefore, a discussion of the proposed thesis is compulsory.
1st Year - 2020/2021
ADVANCED CONTROL TECHNIQUES (ING-INF/04)
9 credits - Compulsory
COMPUTER VISION (ING-INF/03)
9 credits - Compulsory
DECISION SUPPORT SYSTEMS (MAT/09)
9 credits - Compulsory
INTERNET OF THINGS (ING-INF/05)
9 credits - Compulsory
SOFTWARE ENGINEERING (ING-INF/05)
9 credits - Compulsory
SYSTEM AND NETWORK PROGRAMMING (ING-INF/05)
12 credits - Compulsory
2nd Year - 2021/2022
BIG DATA MANAGEMENT (ING-INF/05)
9 credits - Optional
ESTIMATION AND DATA ANALYSIS WITH APPLICATIONS (ING-INF/05)
6 credits - Compulsory
FINAL EXAM (PROFIN_S)
12 credits - Compulsory
HIGH PERFORMANCE COMPUTING (ING-INF/05)
9 credits - Optional
INTERNSHIP/TRAINING (NN)
6 credits - Compulsory
NETWORK TECHNOLOGIES AND DESIGN (ING-INF/05)
12 credits - Compulsory
PARALLEL ALGORITHMS (ING-INF/05)
9 credits - Compulsory
Academic coordinator: Prof. Massimo Cafaro Staff coordinator: Dr. Annarita Carlucci
Data ultimo aggiornamento: 20/01/2021
