ALGORITHMIC GRAPH THEORY

Course Information
TitleΘΕΩΡΙΑ ΚΑΙ ΑΛΓΟΡΙΘΜΟΙ ΓΡΑΦΩΝ / ALGORITHMIC GRAPH THEORY
CodeNIS-06-06
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorEirini Karapistoli
CommonYes
StatusActive
Course ID40002964

Programme of Study: Undergradute Studies - School of Informatics (2015-today)

Registered students: 89
OrientationAttendance TypeSemesterYearECTS
Information SystemsElected Compulsory Directional635
Digital MediaElective Courses635
Communication, Networks And Systems ArchitectureElected Compulsory Directional635
Information And Communication Technologies In EducationElective Courses635
General Common DirectionElective Courses635

Class Information
Academic Year2015 – 2016
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
600004997
Type of the Course
  • Background
Course Category
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
There are no prerequisite course in the formal sense. It is necessary for the student to master Programming, Data Structres and Algorithms
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
Course Content (Syllabus)
Introduction. Paths and cycles. Trees, Spanning trees. Conectivity. Planarity. Coloring. Directed graphs. Flows and Networks. Matching and covers.
Keywords
Paths. Cycles. Trees. Conectivity. Planarity. Coloring. Directed graphs. Flows and Networks. Matching and covers.
Educational Material Types
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Tutorial130.4
Project451.5
Exams30.1
Litereature study501.7
Total1505
Student Assessment
Description
Written exams, and projects. The exact procedure and weightning is announced on the course's website.
Student Assessment methods
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Assignment (Formative)
  • Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Μανωλόπουλος-Παπαδόπουλος-Τσιχλας: "Θεωρίας και Αλγόριμοι Γράφων", Εκδόσεις Νέων Τεχνολογιών, Αθήνα, 2014.
Additional bibliography for study
J. Gross and J. Yellen: "Graph Theory and its Applications", 2nd edition, CRC Press, 2006. J. Gross and J. Yellen: "Handbook of Graph Theory", CRC Press, 2003.
Last Update
08-06-2016