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Specialized Topics in Numerical Analysis (AA7): Διαφορά μεταξύ των αναθεωρήσεων

Specialized Topics in Numerical Analysis (AA7): Διαφορά μεταξύ των αναθεωρήσεων

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Γραμμή 1: Γραμμή 1:
[[Graduate Courses Outlines]] - [https://math.uoi.gr  Department of Mathematics]
* [[Ειδικά Θέματα Αριθμητικής Ανάλυσης (ΑΑ7)|Ελληνική Έκδοση]]
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=== General ===
=== General ===
Γραμμή 50: Γραμμή 52:
! Learning outcomes
! Learning outcomes
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|
ΧΧΧ
After successful end of this course, students will be able to:
* Combine the theory with applications.
* Analyze and study problems from applied sciences,  choose the appropriate methods and finally to solve them.
* Understand the usefulness of Numerical Analysis to solve problems from nature and society.
|-
|-
! General Competences
! General Competences
|
|
ΧΧΧ
* 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
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=== Syllabus ===
=== Syllabus ===


ΧΧΧ
Solution of Large Scale problems from Fluid Mechanics by Numerical Methods: Analysis of the problem - Selection of the appropriate method - Implementation - Comparison of the methods. Solution of Large Scale Optimization problems coming from Control Theory Data mining - searching, Signal and Image Processing by Numerical Methods: Analysis of the problem - Selection of the appropriate method - Implementation - Comparison of the methods.


=== Teaching and Learning Methods - Evaluation ===
=== Teaching and Learning Methods - Evaluation ===
Γραμμή 67: Γραμμή 75:
! Delivery
! Delivery
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ΧΧΧ
In the class
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|-
! Use of Information and Communications Technology
! Use of Information and Communications Technology
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| -
ΧΧΧ
|-
|-
! Teaching Methods
! Teaching Methods
Γραμμή 82: Γραμμή 89:
| 39
| 39
|-
|-
| ΧΧΧ
| Study and analysis of bibliography
| 000
| 78
|-
|-
| ΧΧΧ
| Exercises - Homework
| 000
| 70.5
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|-
| Course total  
| Course total  
Γραμμή 94: Γραμμή 101:
! Student Performance Evaluation
! Student Performance Evaluation
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|
ΧΧΧ
Written examination - Oral Examination - Project
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Γραμμή 100: Γραμμή 107:


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Τελευταία αναθεώρηση της 05:15, 16 Ιουνίου 2023

General

School School of Science
Academic Unit Department of Mathematics
Level of Studies Graduate
Course Code AA7
Semester 2
Course Title

Specialized Topics in Numerical Analysis

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:

  • Combine the theory with applications.
  • Analyze and study problems from applied sciences, choose the appropriate methods and finally to solve them.
  • Understand the usefulness of Numerical Analysis to solve problems from nature and society.
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

Solution of Large Scale problems from Fluid Mechanics by Numerical Methods: Analysis of the problem - Selection of the appropriate method - Implementation - Comparison of the methods. Solution of Large Scale Optimization problems coming from Control Theory Data mining - searching, Signal and Image Processing by Numerical Methods: Analysis of the problem - Selection of the appropriate method - Implementation - Comparison of the methods.

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
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