Scheda programma d'esame
MOBILE AND PERVASIVE SYSTEMS
MARCO AVVENUTI
Academic year2018/19
CourseCOMPUTER ENGINEERING
Code594II
Credits6
PeriodSemester 2
LanguageEnglish

ModulesAreaTypeHoursTeacher(s)
MOBILE AND PERVASIVE SYSTEMSING-INF/05LEZIONI60
MARCO AVVENUTI unimap
ALESSIO VECCHIO unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge

The student who successfully completes the course will have the ability to understand the properties and application areas of mobile and pervasive distributed systems; will be aware of the basic methodologies for designing mobile and pervasive systems; will be able to demonstrate a solid knowledge of the mainstream technologies for programming mobile and wireless sensing applications.

Assessment criteria of knowledge

- During the oral exam the student must be able to demonstrate his/her knowledge of the course material and be able to discuss the reading matter thoughtfully and with propriety of expression. - The student must demonstrate the ability to put into practice and to execute, with critical awareness, the activities illustrated or carried out under the guidance of the teacher during the course.

Methods:

  • Final oral exam
  • Project (1/2 people per project)
Skills

The student will be able to design and implement applications based on pervasive technologies, including mobile and wearable devices.

Assessment criteria of skills

The practical aspects concerning the design and implementation of pervasive applications will be assessed through a project.

The theoretical aspects underlying pervasive and mobile computing will be assessed through oral exam.

 

Behaviors

The student will be able to critically evaluate the most recent advancements in the area of pervasive and mobile computing.

Assessment criteria of behaviors

Students will be required to read a research article concerning pervasive and mobile computing. The paper will be assigned by teachers during class hours and will be presented by students during class hours.

Prerequisites

Fundamentals of distributed programming.

Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • participation in seminar
  • individual study
  • group work
  • laboratory work

Attendance: Advised

Teaching methods:

  • lectures
  • seminars
  • laboratory
  • project work
Syllabus

Lectures will address architectural and operating system issues, middleware abstractions and mechanisms (distributed objects middleware), wireless sensor network programming (event-driven, in-network, power-aware). In laboratory sessions students will exercise with programming smartphones-based mobile applications (Android), their integration with back-end servers, and wireless and wearable sensor applications.

Bibliography

Material and recommended reading indicated by the teacher.

Assessment methods

Presentation of a research article (10 minutes).

Project presentation and discussio (20-30 minutes).

Oral exam (approximately 30 minutes).

 

Updated: 06/09/2018 11:33