Parallel Algorithms (AA8)

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General

School	School of Science
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: 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	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

• 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	Activity Semester Workload Lectures 39 Study and analysis of bibliography 78 Exercises - Homework 70.5 Course total 187.5
Student Performance Evaluation	Written examination - Oral Examination - Project

Attached Bibliography

• Σημειώσεις Διδάσκοντα / Lecture notes.
• Υλικό από το διαδίκτυο / Material from the web.