NUMERICAL ANALYSIS
| Title | ΑΡΙΘΜΗΤΙΚΗ ΑΝΑΛΥΣΗ / NUMERICAL ANALYSIS |
| Code | 120 |
| Faculty | Engineering |
| School | Mechanical Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Leonidas Pitsoulis |
| Common | Yes |
| Status | Active |
| Course ID | 20000476 |
Programme of Study: UPS of School of Mechanical Engineering
Registered students: 321
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Compulsory Course | 4 | 2 | 6 |
| Academic Year | 2018 – 2019 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 5 |
| Class ID | 600131004
|
Class Schedule
| Building | Πολυτεχνείο - πτέρυγα Β (Πολιτικών Μηχ.) |
| Floor | Όροφος 1 |
| Hall | 559-560 (86) |
| Calendar | Τετάρτη 09:00 έως 12:00 |
| Building | Πολυτεχνείο - πτέρυγα Β (Πολιτικών Μηχ.) |
| Floor | Όροφος 1 |
| Hall | 559-560 (86) |
| Calendar | Πέμπτη 09:00 έως 11:00 |
Course Type 2016-2020
- Background
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600131004
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, the students should be:
1. comprehend the difference between a mathematical and a numerical problem
2. know elementary numerical methods for the solution of numerical problems
3. able to use the mathematical software MATLAB for implementing and testing the methods
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
Course Content (Syllabus)
1. Numerical errors and algorithms
2. Solutions of equations
3. Interpolation
4. Approximation
5. Numerical Integration
6. Matrices, eigenvalues and eigenvectors
7. QR factorization
8. Systems of linear equations
9. Optimization
10. Ordinary differential equations
Keywords
algorithms, numerical methods, matrices
Educational Material Types
- Notes
- Slide presentations
- Book
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 65 | 2.2 | ✓ | ✓ | |
| Reading Assigment | 112 | 3.7 | ✓ | ||
| Exams | 3 | 0.1 | |||
| Total | 180 | 6 |
Student Assessment
Student Assessment methods
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Εισαγωγή στην Αριθμητική Ανάλυση, 2η έκδοση, Πιτσούλης Λεωνίδας, Εκδόσεις Τζιόλα, 2015.
Additional bibliography for study
Introduction to Numerical Analysis, J. Stoer and R. Bulirsch, Springer, 1980.
Last Update
28-11-2016
