MULTIMEDIA DATABASES

Course Information
TitleΠΟΛΥΜΕΣΙΚΕΣ ΒΑΣΕΙΣ ΔΕΔΟΜΕΝΩΝ / MULTIMEDIA DATABASES
CodeIS06
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorApostolos Papadopoulos
CommonNo
StatusActive
Course ID40002251

Programme of Study: PPS School of Informatics (2014-today)

Registered students: 1
OrientationAttendance TypeSemesterYearECTS
TECΗNOLOGIES GNŌSĪS DEDOMENŌN KAI LOGISMIKOUElective Courses belonging to the selected specialization117.5
TECΗNOLOGIES PLĪROFORIAS KAI EPIKOINŌNIŌN STĪN EKPAIDEUSĪElective Courses117.5
PSĪFIAKA MESA- YPOLOGISTIKĪ NOĪMOSYNĪElective Courses117.5
DIKTYAKA SYSTĪMATAElective Courses117.5

Programme of Study: PPS of School of Informatics (2013-today)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
Information SystemsCompulsory Course117.5
Information And Communication Technologies In EducationElective Courses117.5
Digital MediaElective Courses117.5
Communication Systems and TechnologiesElective Courses117.5

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
600140627
Course Type 2016-2020
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
Students should take a Database or an Information Retrieval course in order to be ready.
Learning Outcomes
After the course completion students will have a concrete view of the methods used for multimedia data mamagement. Moreover, they will be able to apply indexing schemes (as well as other methods) in multimedia data. In addition, the assignments will help students to gain additionan knowledge and solve practical problems.
General Competences
  • Apply knowledge in practice
  • Make decisions
  • Work autonomously
  • Work in teams
  • Generate new research ideas
Course Content (Syllabus)
- text databases - time series databases - music databases - video databases - dimensionality reduction - similarity search in multidimensional spaces - similarity search in metric spaces - relevance feedback - preference-based queries (top-k and skylines)
Keywords
multimedia indexing, query processing, dimensionality reduction, relevance feedback
Educational Material Types
  • Notes
  • Slide presentations
  • scientific papers
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Reading Assigment1003.3
Project702.3
Written assigments301
Total2398.0
Student Assessment
Description
Students grades are based on written examination (20-30%), in-class presentation of a scientific paper (20-30%) and system development in C++ or JAVA related to multimedia data management (40-60%).
Student Assessment methods
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Oral Exams (Formative, Summative)
  • Performance / Staging (Formative, Summative)
  • Report (Formative, Summative)
  • written exam (Summative)
Bibliography
Additional bibliography for study
Το μάθημα στηρίζεται σε μελέτη επιστημονικών εργασιών που έχουν δημοσιευθεί σε περιοδικά και πρακτικά συνεδρίων του χώρου. Κάθε χρόνο γίνεται επικαιροποίηση της ύλης και οι εγρασίες ανανεώνονται αναλόγως.
Last Update
20-09-2013