| Title | ΥΠΟΛΟΓΙΣΤΙΚΑ ΜΑΘΗΜΑΤΙΚΑ / Computational mathematics |
| Code | 0431 |
| Faculty | Sciences |
| School | Mathematics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Common | No |
| Status | Active |
| Course ID | 40000483 |
Programme of Study: UPS of School of Mathematics (2014-today)
Registered students: 158
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Elective Courses belonging to the selected specialization | 6 | 3 | 5.5 |
| Academic Year | 2017 – 2018 |
| Class Period | Spring |
| Faculty Instructors |
|
| Instructors from Other Categories | |
| Weekly Hours | 3 |
| Class ID | 600099209
|
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600099209
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
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 26 | 0.9 | ✓ | ||
| Laboratory Work | 12 | 0.4 | ✓ | ||
| Tutorial | 13 | 0.4 | ✓ | ||
| Exams | 70 | 2.3 | ✓ | ||
| Total | 121 | 4.0 |
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