Course Information
TitleΑριθμητική ανάλυση / NUMERICAL ANALYSIS
SchoolRural and Surveying Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorGeorgios Papaevangelou
Course ID20001016

Programme of Study: PPS Tmīmatos Agronómōn kai Topográfōn Mīchanikṓn (2025-sīmera)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
Vasikós kýklos spoudṓnCompulsory Courses215

Programme of Study: UPS of School of Rural and Surveing Engineering

Registered students: 156
OrientationAttendance TypeSemesterYearECTS
CoreCore Courses424

Class Information
Academic Year2019 – 2020
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours4
Class ID
Course Type 2016-2020
  • Background
  • General Knowledge
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
  • Distance learning
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
Ability to solve non-linear equations. Ability to solve linear equation systems. Use of repetitive methods for the solution of linear equaitons. Numerical determination of eigenvectors and eigenvalues.
General Competences
  • Apply knowledge in practice
  • Adapt to new situations
Course Content (Syllabus)
Types of errors. Solving non-linear equations. Solving linear equation systems. Gauss-Seidel method. Cholesky method. Repetitive methods for solving linear equations. Eigenvectors and Eigenvalues. Splines. Numerical differentiation and integration.
Educational Material Types
  • Notes
  • 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
Presentations in powerpoint. Use of preadsheets in all subjects.
Course Organization
Laboratory Work13
Reading Assigment126
Student Assessment
The evaluation is efectuated with a two-hour written exam on problem solving. The main element is to control thw ability of the application of the methodologies.
Student Assessment methods
  • Written Exam with Problem Solving (Summative)
Course Bibliography (Eudoxus)
«Εισαγωγή στην Αριθμητική Ανάλυση» Ακρίβης, Γεώργιος Δ., Δουγαλής, Βασίλειος Α, ISBN 978-960-524-022-6, 4η έκδοση, έτος τρεχ. έκδοσης 2015, Εκδόσεις: ΙΤΕ-Πανεπιστημιακές Εκδόσεις Κρήτης ή «Αριθμητική Ανάλυση. Μια αλγοριθμική προσέγγιση», Νικόλαος Μισυρλής, ΙSBN: 978-960-92031-2-8, ΕΚΔΟΣΕΙΣ Νικόλαος Μισυρλής, Έκδοση 1, 2009.
Additional bibliography for study
"Αριθμητική Ανάλυση με χρήση ΗΥ", σημειώσεις Ε. Σιδηρόπουλου, Χ. Φωτιάδη,Α.Π.Θ., 2016.
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