NUMERICAL ANALYSIS AND OPTIMIZATION METHODS
| Title | ΑΡΙΘΜΗΤΙΚΗ ΑΝΑΛΥΣΗ ΚΑΙ ΜΕΘΟΔΟΙ ΒΕΛΤΙΣΤΟΠΟΙΗΣΗΣ / NUMERICAL ANALYSIS AND OPTIMIZATION METHODS |
| Code | Ν223Ε |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Common | Yes |
| Status | Active |
| Course ID | 420001875 |
Programme of Study: PPS Geōponías (2019-sīmera)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the other | Winter | - | 5 |
| EGGEIŌN VELTIŌSEŌN, EDAFOLOGIAS KAI GEŌRGIKĪS MĪCΗANIKĪS | Elective Course belonging to the selected specialization (Elective Specialization Course) | Winter | - | 5 |
| Academic Year | 2022 – 2023 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 4 |
| Total Hours | 65 |
| Class ID | 600210395
|
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600210395
- eLearning (Moodle): https://elearning.auth.gr/
Erasmus
The course is also offered to exchange programme students.
Prerequisites
General Prerequisites
Students should be familiar with the use of computers.
Learning Outcomes
Upon completion of this course, students will be able:
1. to understand the methodology of various numerical and optimization techniques
2. to evaluate and compare the various numerical methods
3. to handle and compine adequately the numerical methods for techical problems solving
4. to formulate and solve an optimization problem
5. to elaborate and apply numerical and optimization methods with the use of a computer.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in an international context
- Work in an interdisciplinary team
- Advance free, creative and causative thinking
Course Content (Syllabus)
Computer Arithmetic. Taylor series. Numerical Interpolation. Numerical Integration. Numerical solving of non linear equations. Matrices. Numerical solving of linear systems of equations. Linear Programming. Least squares approximation Introduction to Optimization methods. Linear Programming. Metaheuristics and evolutionary algorithms. Design of numerical and optimization methods with the use of computer.
Keywords
numerical methods, optimization
Educational Material Types
- Notes
- Slide presentations
- 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
Description
powerpoint, excel, matlab
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 78 | ✓ | |||
| Laboratory Work | 13 | ✓ | ✓ | ✓ | |
| Tutorial | 26 | ✓ | ✓ | ||
| Project | 20 | ✓ | ✓ | ||
| Exams | 3 | ✓ | ✓ | ||
| Total | 140 |
Student Assessment
Description
75% written exams
25% individual project assignment (a set of exercises) - Exams on Computer
Student Assessment methods
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Μπαμπατζιμόπουλος, Χ., Αριθμητική Ανάλυση, Εκδόσεις Γιαχούδης και Σια ΟΕ, 1999 (Κωδικός Βιβλίου στον Εύδοξο: 8885)
Additional bibliography for study
Faires, J.D. and Burden R.L., Numerical Analysis, 8th Edition, Thomson Brooks Cole, 2005
Chapra, S.C and Canale R.S., Numerical Methods for engineers, 4th Edition, McGraw Hill, 2002
Επίσης δίνονται σημειώσεις στο αντικείμενο του γραμμικού προγραμματισμού και υπολογιστικά πρότυπα των αριθμητικών μεθόδων μέσω Βlackboard.
Last Update
21-01-2021
