| Title | ΒΕΛΤΙΣΤΟΠΟΙΗΣΗ / OPTIMIZATION |
| Code | NGE-06-02 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Nikolaos Tsitsas |
| Common | No |
| Status | Active |
| Course ID | 40002959 |
Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)
Registered students: 6
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| GENIKĪ KATEUTHYNSĪ | YPOCΗREŌTIKO KATA EPILOGĪ | 6 | 3 | 5 |
| Academic Year | 2017 – 2018 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600104738
|
Class Schedule
| Building | Βιολογίας |
| Floor | Ισόγειο |
| Hall | ΑΙΘΟΥΣΑ Α (211) |
| Calendar | Τετάρτη 13:00 έως 16:00 |
Course Type 2016-2020
- Background
- General Knowledge
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600104738
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=6564
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Knowledge of methodologies and techniques in Optimization and using them in applications of Computer Science
General Competences
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
Course Content (Syllabus)
-- Introduction and motivation with examples and applications
-- Basic notions. Optimization algorithms, theorems and rate of convergence
-- Optimization of non-linear problems with and without constraints
-- Implementations with mathematical software
Keywords
Nonlinear Optimization, Optimization Algorithms
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 Communication with Students
Description
There is a web page for the course in elearning
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | ✓ | |||
| Reading Assigment | 30 | ✓ | |||
| Project | 48 | ✓ | ✓ | ||
| Exams | 3 | ✓ | |||
| Literature Study | 30 | ✓ | |||
| Total | 150 |
Student Assessment
Description
There will be two tests and the students can pass the course if they have grade greater than 5 in each one of these tests. Also, projects will be assigned with bonus on the final grade from 0 to 2 points (depending on the quality each project).
Student Assessment methods
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Μη γραμμικές μέθοδοι βελτιστοποίησης Μεθοδολογία και αλγόριθμοι, Βασιλείου Παναγιώτης - Χρήστος, Γεωργίου Αθανάσιος, 960-431-248-0, Ζήτη 1993, 1η έκδ., 11113.
2. Τεχνικές βελτιστοποίησης, Ροβιθάκης Γεώργιος Α., 978-960-418-141-4, Τζιόλα 2007, 1η εκδ., 18549025.
Last Update
07-06-2016