Bachelor's of Informatics and Data Technologies

UBIQUITOUS APPLICATIONS TECHNOLOGIES

General Data

Code: 62M017
Number of credits: 6.00
ISCED-F: Information and Communication Technologies (ICTs), Information and Communication Technologies (ICTs) not further defined
Status: Optional
Type: Course
Academic Year:
Term:
Modality: Workbased
Languages: English
Available for Mobility Students: Yes

Coordination

izr. prof. dr. MUHAMED TURKANOVIĆ

Description

To introduce to students importance of ubiquitous systems, technological infrastructure and typical case studies.

Requirements

Knowledge of computer and information systems, communication technologies and application of basic programming techniques is recommended.

Instructors

dr. DOMEN VERBER

Contents

  • Introduction: computer networks and connectivity, ambiental intelligence, »Everyware«. 
  • Context aware systems: embedded computers, cyber-physical systems, localisation, identification, ad-hoc networks. 
  • Technological basics: wireless communications, positioning systems (GPS, Galileo,..), radio frequency identification (RFID), dedicated equipment, voice and optical recognition. 
  • Development of ubiquitous applications. 
  • Cloud computing for ubiquitous systems. 
  • Edge computing and Fog computing 
  • Human computer interaction (HCI) for ubiquitous systems. 
  • High-performance computing and the use of artificial intelligence for ubiquitous applications. 
  • User experience design. 
  • Selected topics from ubiquitous systems (introduction to the seminar – following the development): intelligent home, healthcare, wearable systems, electronic guides, non- technical aspects, case studies.

Learning Outcomes

On completion of this course the student will be able to 

  • explain the meaning and uses of ubiquitous applications, 
  • choose appropriate technology related to the construction of ubiquitous solutions, 
  • analyze the problem, conceive and build a ubiquitous application.

Planned Activities

  • lectures, 
  • lab work,
  • project.

Assessment Methods and Criteria

  • Project: 50%
  • Written examination: 40%
  • Laboratory work: 10%