Numerical Linear Algebra II (AA4): Διαφορά μεταξύ των αναθεωρήσεων

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! Learning outcomes
! Learning outcomes
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After successful end of this course, students will be able to:
* know and understand the theory of methods for computation of the eigenvalues and singular values,
* know from applications, the necessity of this theory,
* know and understand the theory of Krylov subspace methods,
* know error analysis,
* know the preconditioned techniques and the necessity of preconditioning,
* implement the above methods with programs on the computer.
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! General Competences
! General Competences
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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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Αναθεώρηση της 10:21, 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 AA4
Semester 1
Course Title Numerical Linear Algebra II
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 Greek)
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:

  • know and understand the theory of methods for computation of the eigenvalues and singular values,
  • know from applications, the necessity of this theory,
  • know and understand the theory of Krylov subspace methods,
  • know error analysis,
  • know the preconditioned techniques and the necessity of preconditioning,
  • implement the above methods with programs on the computer.
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

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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