Numerical Analysis

Course Information
TitleΑΡΙΘΜΗΤΙΚΗ ΑΝΑΛΥΣΗ / Numerical Analysis
Code0402
FacultySciences
SchoolMathematics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter/Spring
CommonNo
StatusActive
Course ID40000481

Programme of Study: UPS of School of Mathematics (2014-today)

Registered students: 267
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory Course535.5

Class Information
Academic Year2017 – 2018
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Total Hours78
Class ID
600099121
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
Required Courses
  • 0102 Introduction to Algebra
  • 0201 Calculus I
  • 0202 Calculus II
  • 0430 Introduction to Computer Programming
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
Course Content (Syllabus)
Structure of Computational systems and algorithms, number systems and errors - Interpolation and approximation (interpolation by Lagrange and Newton polynomials) - Numerical integration (midpoint, trapezoid and Simpson’s rules, Romberg integration) - Numerical solution of non-linear equations (bisection method, secant, regula-falsi and modified regula-falsi, Newton’s method) - Introduction to iterative methods for linear systems and ODE.
Keywords
like the contents above
Educational Material Types
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Student Assessment
Description
Subjects which are given to the students during their lectures and they solve with a computer language
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Laboratory Work120.4
Tutorial130.4
Exams802.7
Total1444.8
Student Assessment
Description
Written Examinations and computer programms with oral exams
Student Assessment methods
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Oral Exams (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
"Αριθμητική Ανάλυση", Μαρίας Χρ. Γουσίδου-Κουτίτα, 2004, Εκδόσεις Κ.Χριστοδουλίδη, και επανέκδοση από Αφοι Κυριακίδη
Additional bibliography for study
Εισαγωγή στην Αριθμητική Ανάλυση, Γ.Ακρίβη και Β.Δουγαλή, Πανεπιστημιακές Εκδόσεις Κρήτης, 1997 και η βιβλιογραφία που υπάρχει στα βιβλίο, 1997
Last Update
16-05-2017