SPATIAL DATABASES AND GIS
| Title | ΧΩΡΙΚΕΣ ΒΑΣΕΙΣ ΔΕΔΟΜΕΝΩΝ ΚΑΙ ΓΕΩΓΡΑΦΙΚΑ ΣΥΣΤΗΜΑΤΑ / SPATIAL DATABASES AND GIS |
| Code | IS09 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Ioannis Manolopoulos |
| Common | No |
| Status | Active |
| Course ID | 40002254 |
| Academic Year | 2017 – 2018 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600120163
|
Course Type 2016-2020
- Scientific Area
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600120163
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=7949
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Prerequisites
General Prerequisites
There is no list of prerequisite courses in the strict sense. Students should master topics related to Databases, Programming with Java and C++ and Data Mining or Machine Learning.
Learning Outcomes
After the course completion students will have a concrete view of the methods used for spatial and 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
- Generate new research ideas
Course Content (Syllabus)
- Models and Languages for Spatial Databases (SDB)
- Files and Indices for SDB
- Query Processing and Optimization fo SDB
- Spatial Networks
- Text DBs
- Time Series DBs
- Music DBs
- Video DBs
- Dimensionality reduction
- Similarity Search in Multidimensional Spaces
- Similarity Search in Metric Spaces
- Relevance Feedback
- Preference-based Queries (top-k and skylines)
Keywords
Spatial and Multimedia Databases, Indexing, Query Processing, Dimensionality Reduction, Relevance Feedback
Educational Material Types
- Notes
- Slide presentations
- Book
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
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.3 | ✓ | ||
| Reading Assigment | 100 | 3.3 | ✓ | ||
| Project | 55 | 1.8 | ✓ | ||
| Written assigments | 32 | 1.1 | ✓ | ||
| Total | 226 | 7.5 |
Student Assessment
Description
Students grades are based on: (a) written examination (50%), and (b) development of a system related to spatial/multimedia data management, submission of a report an presentation of the system in class (50%).
Student Assessment methods
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Extended Answer Questions (Summative)
- Written Assignment (Summative)
- Performance / Staging (Summative)
- Report (Summative)
Bibliography
Additional bibliography for study
S. Shekhar, S. Chawla: Spatial Databases: A Tour, Pearson, 2003.
P. Rigaux, M. Scholl, A. Voisard: Spatial Databases: With Application to GIS, Morgan Kaufmann,2001.
H. Samet: Foundations of Multidimensional and Metric Data Structures, Morgan Kaufmann,2006.
R. H. Güting, M. Schneider, Moving Objects Databases, Morgan Kaufmann, 2005.
A. Baughman, J. Gao, J.-Y. Pan, V.A. Petrushin (eds): Multimedia Data Mining and Analytics: Disruptive Innovation, Springer, 2015.
K. S. Candan, M. L.Sapino, Data Management for Multimedia Retrieval, Cambridge University Press, 2010.
O. Marques, B. Furht: Content-Based Image and Video Retrieval, Springer, 2002.
P. Muneesawang, N. Zhang, L. Guan: Multimedia Database Retrieval: Technology and Applications, Springer, 2014.
L. Liu, M. T. Özsu (eds): Encyclopedia of Database Systems, Springer, 2009.
Last Update
19-10-2015
