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

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=== Syllabus ===
=== Syllabus ===


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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 ===

Αναθεώρηση της 10:47, 10 Νοεμβρίου 2022

Graduate Courses Outlines - Department of Mathematics

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

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Use of Information and Communications Technology

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Teaching Methods
Activity Semester Workload
Lectures 39
ΧΧΧ 000
ΧΧΧ 000
Course total 187.5
Student Performance Evaluation

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Attached Bibliography

Πρότυπο:MAM199-Biblio