Parallel Algorithms (AA8): Διαφορά μεταξύ των αναθεωρήσεων
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=== General === | === General === | ||
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! Learning outcomes | ! Learning outcomes | ||
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After successful end of this course, students will be able to: | |||
* understand techniques of Parallel Computations, | |||
* Understand the necessity of Parallel Computations to solve large scale problems, | |||
* Implement methods with programs on systems of parallel computations. | |||
|- | |- | ||
! General Competences | ! General Competences | ||
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* Search for, analysis and synthesis of data and information, with the use of the necessary technology | |||
* Adapting to new situations | |||
* Criticism and self-criticism | |||
* Production of free, creative and inductive thinking | |||
|} | |} | ||
=== Syllabus === | === Syllabus === | ||
* Techniques of Parallel Computations. | |||
* Parallel Algorithms for the Solution of Linear Systems by Iterative Methods. | |||
* Parallel Algorithms based on Domain Decomposition Methods for the solution of Boundary Value Problems. | |||
* Parallelization factors of efficiency. | |||
=== Teaching and Learning Methods - Evaluation === | === Teaching and Learning Methods - Evaluation === | ||
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! Delivery | ! Delivery | ||
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In the class | |||
|- | |- | ||
! Use of Information and Communications Technology | ! Use of Information and Communications Technology | ||
| | | - | ||
|- | |- | ||
! Teaching Methods | ! Teaching Methods | ||
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| 39 | | 39 | ||
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| | | Study and analysis of bibliography | ||
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| | | Exercises - Homework | ||
| | | 70.5 | ||
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| Course total | | Course total | ||
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! Student Performance Evaluation | ! Student Performance Evaluation | ||
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Written examination - Oral Examination - Project | |||
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Τελευταία αναθεώρηση της 05:15, 16 Ιουνίου 2023
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General
School | School of Science |
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Academic Unit | Department of Mathematics |
Level of Studies | Graduate |
Course Code | AA8 |
Semester | 2 |
Course Title |
Parallel Algorithms |
Independent Teaching Activities | Lectures (Weekly Teaching Hours: 3, Credits: 7.5) |
Course Type | Special Background |
Prerequisite Courses | - |
Language of Instruction and Examinations |
Greek |
Is the Course Offered to Erasmus Students | Yes (in English) |
Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
Learning outcomes |
After successful end of this course, students will be able to:
|
---|---|
General Competences |
|
Syllabus
- Techniques of Parallel Computations.
- Parallel Algorithms for the Solution of Linear Systems by Iterative Methods.
- Parallel Algorithms based on Domain Decomposition Methods for the solution of Boundary Value Problems.
- Parallelization factors of efficiency.
Teaching and Learning Methods - Evaluation
Delivery |
In the class | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Use of Information and Communications Technology | - | ||||||||||
Teaching Methods |
| ||||||||||
Student Performance Evaluation |
Written examination - Oral Examination - Project |
Attached Bibliography
- Σημειώσεις Διδάσκοντα / Lecture notes.
- Υλικό από το διαδίκτυο / Material from the web.