Computational mathematics

Course Information
TitleΥΠΟΛΟΓΙΣΤΙΚΑ ΜΑΘΗΜΑΤΙΚΑ / Computational mathematics
Code0431
FacultySciences
SchoolMathematics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CommonNo
StatusActive
Course ID40000483

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

Registered students: 160
OrientationAttendance TypeSemesterYearECTS
CoreElective Courses belonging to the selected specializationSpring-5.5

Class Information
Academic Year2017 – 2018
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Class ID
600099209
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
  • 0402 Numerical Analysis
  • 0201 Calculus I
  • 0202 Calculus II
  • 0430 Introduction to Computer Programming
  • 0108 Linear Algebra
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
  • Generate new research ideas
Course Content (Syllabus)
Computational Mathematics G-LSUD6 COMMA- 0431 3h/w, 13 weeks, written exams, credits: 5.5 Compulsory elective (for the department of Numerical Analysis and Computer Science) Description: Interpolation and approximation with piecewise polynomials and splines , Numerical linear algebra: Gauss elimination for linear systems pivoting, LU- factorization and an introduction to the stability of systems and algorithms, norms of vectors and matrices, condition number, Iterative methods, Introduction to the numerical solution of eigenvalue-eigenvector problem, Numerical solution of ODEs (existence and uniqueness of initial value problem). Euler method, Taylor method, Runge-Kutta methods and multistep methods. Instructor M.Gousidou-Koutita
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
Lectures260.9
Laboratory Work120.4
Tutorial130.4
Exams702.3
Total1214.0
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)
Υπολογιστικά Μαθηματικά Μ.Γουσίδου-Κουτίτα, Εκδόσεις Τζιόλλας 2014 και η βιβλιογραφία που υπάρχει στο βιβλίο
Additional bibliography for study
Εισαγωγή στην Αριθμητική Ανάλυση, Γ.Ακρίβη και Β.Δουγαλή, Πανεπιστημιακές Εκδόσεις Κρήτης, 1997 και η βιβλιογραφία που υπάρχει στα βιβλίο
Last Update
16-05-2017