Seminar in Algorithmic Optimization (MAE883): Διαφορά μεταξύ των αναθεωρήσεων
(Νέα σελίδα με '* Ελληνική Έκδοση {{Course-UnderGraduate-Top-EN}} {{Menu-OnAllPages-EN}} === General === {| class="wikitable" |- ! School | School of Science |- ! Academic Unit | Department of Mathematics |- ! Level of Studies | Undergraduate |- ! Course Code | ΜΑΕ883 |- ! Semester | 8 |- ! Course Title | Seminar in Algorithmic Optimization |- ! Independent Teaching Activitie...') |
Χωρίς σύνοψη επεξεργασίας |
||
Γραμμή 1: | Γραμμή 1: | ||
* [[Σεμινάριο Αλγοριθμικής Βελτιστοποίησης ( | * [[Σεμινάριο Αλγοριθμικής Βελτιστοποίησης (ΜΑΕ883)|Ελληνική Έκδοση]] | ||
{{Course-UnderGraduate-Top-EN}} | {{Course-UnderGraduate-Top-EN}} | ||
{{Menu-OnAllPages-EN}} | {{Menu-OnAllPages-EN}} |
Τελευταία αναθεώρηση της 19:48, 19 Αυγούστου 2024
- Ελληνική Έκδοση
- Undergraduate Courses Outlines
- Outline Modification (available only for faculty members)
- Department of Mathematics
- Save as PDF or Print (to save as PDF, pick the corresponding option from the list of printers, located in the window which will popup)
General
School |
School of Science |
---|---|
Academic Unit |
Department of Mathematics |
Level of Studies |
Undergraduate |
Course Code |
ΜΑΕ883 |
Semester |
8 |
Course Title |
Seminar in Algorithmic Optimization |
Independent Teaching Activities |
Lectures (Weekly Hours: 3, Credits: 6) |
Course Type |
Special Background |
Prerequisite Courses | None. However it is desirable to have a strong knowledge of basic notions in Data Structures and Analysis of Algorithms. |
Language of Instruction and Examinations |
Greek |
Is the Course Offered to Erasmus Students |
No |
Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
Learning outcomes |
The report can be, but not required to be, original. Further details can be determined by the teaching professor. |
---|---|
General Competences |
Further details can be determined by the teaching professor. |
Syllabus
The course deals each time with a modern topic related to the area of algorithmic optimization and focuses on optimization problems with proven efficient complexity as well as on efficient methods for finding approximate solutions. In the context of the seminar, emphasis is given on the solution methods as well as the algorithmic techniques that can be exploited to find optimal solutions. Further details can be determined by the teaching professor.
Teaching and Learning Methods - Evaluation
Delivery |
Details will be determined by the teaching professor. | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Use of Information and Communications Technology |
Details will be determined by the teaching professor. | ||||||||||
Teaching Methods |
| ||||||||||
Student Performance Evaluation |
Other means of evaluation can be determined by the teaching professor. |
Attached Bibliography
Bibliography is suggested by the teaching professor, depending on the subject under study.