Data Bases

Course Information
TitleΒάσεις Δεδομένων / Data Bases
CodeMIS-102
Interdepartmental ProgrammeManagement and Information Systems
Collaborating SchoolsInformatics
Economics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID600015134

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Total Hours39
Class ID
600125013
Course Type 2016-2020
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
There are no prerequisite courses.
Learning Outcomes
Understanding: Explaining ideas or database concepts. Application: Application of database concepts. Analysis: Analyze database concepts into their components. Creation: Synthetic project in Databases. Manipulation: Ability to perform specific actions on a database management system and in other helping software tools.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction, Database Architecture, Modeling data with entity-relationship model, Relational model and relational algebra, SQL language, Relational calculus and multi-valued Functional Dependencies, Normal forms. Lab exercises.
Keywords
databases, entity-relationship model, relational model, relational algebra, SQL language, functional dependencies, normal forms
Educational Material Types
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Project481.6
Written assigments421.4
Study511.7
Total1806
Student Assessment
Description
Final exam (60%), Synthetic project assignment (40%)
Student Assessment methods
  • Written Exam with Extended Answer Questions (Summative)
  • Written Assignment (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Διδακτικές Σημειώσεις (διαφάνειες & πρόσθετο υλικό)
Additional bibliography for study
- Ιωάννης Μανωλόπουλος και Απόστολος Παπαδόπουλος: "Βάσεις Δεδομένων: Θεωρία και Πρακτική Εφαρμογή", Εκδόσεις Νέων Τεχνολογιών, Αθήνα, 2006. - H. Garcia-Molina, J.D. Ullman, J.D. Widom, "ΣΥΣΤΗΜΑΤΑ ΒΑΣΕΩΝ ΔΕΔΟΜΕΝΩΝ, ΤΟΜΟΣ Ι", Πανεπιστημιακές Εκδόσεις Κρήτης, 2011. - R. Ramakrishnan, J. Gehrke, "Database Management Systems", McGraw-Hill, 2002. - C. J. Date, "Introduction to Database Systems", Addison Wesley, 2003. - R. Elmasri, S.B. Navathe, "Fundamentals of Database Systems", Addison Wesley, 2006. - A. Silberschatz, H.F. Korth, S. Sudarshan, "Database System Concepts", McGraw-Hill, 2005.
Last Update
16-10-2018