Data Structures

Course Information
TitleΔΟΜΕΣ ΔΕΔΟΜΕΝΩΝ / Data Structures
CodeΗΥ3602
FacultyEngineering
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorStavroula Siachalou
CommonNo
StatusActive
Course ID20000611
Class Information
Academic Year2026 – 2027
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Class ID
600307981
Course Type 2016-2020
  • Background
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Students are encouraged to have completed the courses: a. Structured Programming, b. Programming Techniques, and c. Computer Architecture before they register for this class.
Learning Outcomes
Upon successful completion of the course, students must be able to : - Understand and use the concept of data structure as a building block of programming code, - Choose the right data structure(s) for their application, use it, and analyze it appropriately, - Use the basic algorithms for searching, hashing, and sorting, - Develop medium-size applications in Java.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Work autonomously
  • Work in teams
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introductory course on Data Structures and on basic types of Algorithms. The course builds on earlier programming courses and aims to help the students strengthen their understanding of software development techniques and improve their programming skills. The content of the course include: - Data and information. Data structure, algorithm and complexity. - Introduction to Java. - Arrays. Linked and sequential linear lists. - Trees: Methods for storing, accessing, inserting and deleting elements in a tree. Balanced trees. B-trees. Applications. - Heaps - Searching Algorithms. Text search. - Hashing Algorithms - Sorting Algorithms
Keywords
Data structures, Algorithms, Algorithmic Complexity, Java programming, Tables, Lists, Trees, Heaps, Searching, Hashing, Sorting
Educational Material Types
  • Notes
  • Slide presentations
  • Multimedia
  • Interactive excersises
  • 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
Description
The course teaches the students software development techniques. Naturally, ICT is used widely and in every aspect of the course.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures✓
Seminars✓
Laboratory Work✓
Tutorial✓
Interactive Teaching in Information Center✓
Project✓
Written assigments✓
Total
Student Assessment
Description
Student evaluation is clearly stated in the course syllabus, which is distributed on the first day of classes and is continuously available on the course website. Student evaluation comprises: Written or electronic final exam 80% Programming Project in groups of 2 students 20% (three assignments of increasing complexity) Through the project, students are asked to develop a simple computer game and they can participate in a class tournament. Winners receive extra points.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
  • Report (Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Δομές Δεδομένων & Αλγόριθμοι στη Java, 2η έκδοση, Robert Lafore, Εκδόσεις Γκιούρδας, 2005. 2. Δομές Δεδομένων, Π. Μποζάνης, 1η έκδοση, Εκδόσεις Τζιόλας, 2006. 3. Δομές Δεδομένων: Έννοιες, Τεχνικές, Αλγόριθμοι, Γ.Φ. Γεωργακόπουλος, Πανεπιστημιακές Εκδόσεις Κρήτης, 2011.
Additional bibliography for study
Υπάρχει πληθώρα τίτλων στην αγγλική (Data Structures and Algorithms).
Last Update
17-04-2014